{"pageNumber":"1638","pageRowStart":"40925","pageSize":"25","recordCount":46644,"records":[{"id":70011632,"text":"70011632 - 1982 - Evaluation of 0.46- to 2.36-mu m multispectral scanner images of the east Tintic mining district, Utah, for mapping hydrothermally altered rocks","interactions":[],"lastModifiedDate":"2024-01-12T16:47:28.042972","indexId":"70011632","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of 0.46- to 2.36-mu m multispectral scanner images of the east Tintic mining district, Utah, for mapping hydrothermally altered rocks","docAbstract":"<p><span>Airborne multispectral scanner images recorded in the 0.46- to 2.36-mu m region for the East Tintic mining district, Utah, were evaluated to determine their usefulness for distinguishing six types of hydrothermally altered rocks from a wide range of sedimentary and igneous rock types. Limestone, dolomite, and argillaceous rocks were of particular interest because these have spectral reflectance features that might make them difficult to separate from some of the altered rocks when these images are used.The laboratory and field evaluation of a color ratio composite image, supported by in situ spectral reflectance measurements and an alteration map compiled from a published map, shows that silicified, argillized, and pyritized rocks can be mapped in detail utilizing an intense OH absorption band centered near 2.2 mu m. This absorption band is absent or weak in most of the unaltered rocks. However, the 2.2-mu m band is also weak in the reflectance spectra representing the other three types of altered rocks--hydrothermal dolomite, calcitic volcanic rocks, and chloritized rocks. Consequently, these altered rocks are not consistently distinguished from unaltered rocks in these images. Furthermore, very pure dolomite spectra have an intense 2.33- mu m CO (super -3) absorption band that is not distinguishable from the 2.2-mu m band in these images; therefore, the pure dolomite exposures were distinguished from the silicified, argillized, and pyritized rocks through field checking. The 2.33-mu m absorption feature is weak in spectra for less pure carbonate rocks. Separation of these altered rocks and local exposures of argillaceous rocks also posed problems because of their mineralogic and hence spectral reflectance similarities.These results are especially important for estimating the potential of the 1.6- and 2.2-mu m bands in the Landsat D thematic mapper for mapping altered rocks. Here, as we found in an earlier study in south-central Nevada, limonite-poor hydrothermally altered rocks that were not consistently distinguished in Landsat multispectral scanner images should be detectable using these two thematic mapper bands in combination with other bands at shorter wave-lengths. However, distinguishing among some hydrothermally altered and unaltered rocks will require other approaches, including analysis of high-spectral resolution measurements in the 2.0- and 2.5-mu m region and multispectral thermal infrared data.</span></p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.77.2.441","issn":"03610128","usgsCitation":"Rowan, L.C., and Kahle, A., 1982, Evaluation of 0.46- to 2.36-mu m multispectral scanner images of the east Tintic mining district, Utah, for mapping hydrothermally altered rocks: Economic Geology, v. 77, no. 2, p. 441-452, https://doi.org/10.2113/gsecongeo.77.2.441.","productDescription":"12 p.","startPage":"441","endPage":"452","numberOfPages":"12","costCenters":[],"links":[{"id":221187,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"2","noUsgsAuthors":false,"publicationDate":"1982-04-01","publicationStatus":"PW","scienceBaseUri":"505a0c0ae4b0c8380cd529ec","contributors":{"authors":[{"text":"Rowan, L. C.","contributorId":40584,"corporation":false,"usgs":true,"family":"Rowan","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":361581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kahle, A.B.","contributorId":36928,"corporation":false,"usgs":true,"family":"Kahle","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":361580,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70011649,"text":"70011649 - 1982 - Techniques of trend analysis for monthly water quality data","interactions":[],"lastModifiedDate":"2018-02-05T13:15:04","indexId":"70011649","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Techniques of trend analysis for monthly water quality data","docAbstract":"<p><span>Some of the characteristics that complicate the analysis of water quality time series are non-normal distributions, seasonality, flow relatedness, missing values, values below the limit of detection, and serial correlation. Presented here are techniques that are suitable in the face of the complications listed above for the exploratory analysis of monthly water quality data for monotonie trends. The first procedure described is a nonparametric test for trend applicable to data sets with seasonality, missing values, or values reported as ‘less than’: the seasonal Kendall test. Under realistic stochastic processes (exhibiting seasonality, skewness, and serial correlation), it is robust in comparison to parametric alternatives, although neither the seasonal Kendall test nor the alternatives can be considered an exact test in the presence of serial correlation. The second procedure, the seasonal Kendall slope estimator, is an estimator of trend magnitude. It is an unbiased estimator of the slope of a linear trend and has considerably higher precision than a regression estimator where data are highly skewed but somewhat lower precision where the data are normal. The third procedure provides a means for testing for change over time in the relationship between constituent concentration and flow, thus avoiding the problem of identifying trends in water quality that are artifacts of the particular sequence of discharges observed (e.g., drought effects). In this method a flow-adjusted concentration is defined as the residual (actual minus conditional expectation) based on a regression of concentration on some function of discharge. These flow-adjusted concentrations, which may also be seasonal and non-normal, can then be tested for trend by using the seasonal Kendall test.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/WR018i001p00107","usgsCitation":"Hirsch, R.M., Slack, J.R., and Smith, R.A., 1982, Techniques of trend analysis for monthly water quality data: Water Resources Research, v. 18, no. 1, p. 107-121, https://doi.org/10.1029/WR018i001p00107.","productDescription":"15 p.","startPage":"107","endPage":"121","costCenters":[],"links":[{"id":221382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-09","publicationStatus":"PW","scienceBaseUri":"505ba43ae4b08c986b3201b9","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":361618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, James R.","contributorId":43778,"corporation":false,"usgs":true,"family":"Slack","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":361617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":361619,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70011789,"text":"70011789 - 1982 - The solubilities of calcite, aragonite and vaterite in CO2-H2O solutions between 0 and 90°C, and an evaluation of the aqueous model for the system CaCO3-CO2-H2O","interactions":[],"lastModifiedDate":"2018-03-21T15:17:40","indexId":"70011789","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"The solubilities of calcite, aragonite and vaterite in CO2-H2O solutions between 0 and 90°C, and an evaluation of the aqueous model for the system CaCO3-CO2-H2O","docAbstract":"<p>Calculations based on approximately 350 new measurements (Ca<sub><i>T</i></sub>-PCO<sub>2</sub>) of the solubilities of calcite, aragonite and vaterite in CO<sub>2</sub>-H<sub>2</sub>O solutions between 0 and 90&deg;C indicate the following values for the log of the equilibrium constants&nbsp;<i>K</i><sub><i>C</i></sub>,&nbsp;<i>K</i><sub><i>A</i></sub>, and&nbsp;<i>K</i><sub><i>V</i></sub>&nbsp;respectively, for the reaction CaCO<sub>3</sub>(s) = Ca<sup>2+</sup>&nbsp;+ CO<sup>2&minus;</sup><sub>3</sub>:&nbsp;</p>\n<p><span><img src=\"http://ars.els-cdn.com/content/image/1-s2.0-0016703782900564-si1.gif\" alt=\"\" title=\"\" width=\"519\" height=\"18\" data-inlimgeid=\"1-s2.0-0016703782900564-si1.gif\" data-loaded=\"true\" /></span><span><img src=\"http://ars.els-cdn.com/content/image/1-s2.0-0016703782900564-si2.gif\" alt=\"\" title=\"\" width=\"519\" height=\"18\" data-inlimgeid=\"1-s2.0-0016703782900564-si2.gif\" data-loaded=\"true\" /></span><span><img src=\"http://ars.els-cdn.com/content/image/1-s2.0-0016703782900564-si3.gif\" alt=\"\" title=\"\" width=\"519\" height=\"18\" data-inlimgeid=\"1-s2.0-0016703782900564-si3.gif\" data-loaded=\"true\" /></span>&nbsp;where&nbsp;<i>T</i>&nbsp;is in&nbsp;<sup>o</sup>K. At 25&deg;C the logarithms of the equilibrium constants are &minus;8.480 &plusmn; 0.020, &minus;8.336 &plusmn; 0.020 and &minus;7.913 &plusmn; 0.020 for calcite, aragonite and vaterite, respectively.</p>\n<p>The equilibrium constants are internally consistent with an aqueous model that includes the CaHCO<sup>+</sup><sub>3</sub>&nbsp;and CaCO<sup>0</sup><sub>3</sub>&nbsp;ion pairs, revised analytical expressions for CO<sub>2</sub>-H<sub>2</sub>O equilibria, and extended Debye-H&uuml;ckel individual ion activity coefficients. Using this aqueous model, the equilibrium constant of aragonite shows no PCO<sub>2</sub>-dependence if the CaHCO<sup>+</sup><sub>3</sub>&nbsp;association constant is&nbsp;<span><img src=\"http://ars.els-cdn.com/content/image/1-s2.0-0016703782900564-si4.gif\" alt=\"\" title=\"\" width=\"567\" height=\"22\" data-inlimgeid=\"1-s2.0-0016703782900564-si4.gif\" data-loaded=\"true\" /></span>between 0 and 90&deg;C, corresponding to the value&nbsp;<i>log</i><i>K</i><sub><i>Cahco</i><sup>+</sup><sub>3</sub></sub>&nbsp;= 1.11 &plusmn; 0.07 at 25&deg;C. The CaCO<sup>0</sup><sub>3</sub>association constant was measured potentiometrically to be&nbsp;<span><img src=\"http://ars.els-cdn.com/content/image/1-s2.0-0016703782900564-si5.gif\" alt=\"\" title=\"\" width=\"555\" height=\"21\" data-inlimgeid=\"1-s2.0-0016703782900564-si5.gif\" data-loaded=\"true\" /></span>&nbsp;between 5 and 80&deg;C, yielding&nbsp;<i>log</i><i>K</i><sub><i>CaCO</i><sup>0</sup><sub>3</sub></sub>&nbsp;= 3.22 &plusmn; 0.14 at 25&deg;C.</p>\n<p>The CO<sub>2</sub>-H<sub>2</sub>O equilibria have been critically evaluated and new empirical expressions for the temperature dependence of&nbsp;<i>K</i><sub><i>H</i></sub>,&nbsp;<i>K</i><sub>1</sub>&nbsp;and&nbsp;<i>K</i><sub>2</sub>&nbsp;are&nbsp;<span><img src=\"http://ars.els-cdn.com/content/image/1-s2.0-0016703782900564-si6.gif\" alt=\"\" title=\"\" width=\"622\" height=\"21\" data-inlimgeid=\"1-s2.0-0016703782900564-si6.gif\" data-loaded=\"true\" /></span>,&nbsp;<span><img src=\"http://ars.els-cdn.com/content/image/1-s2.0-0016703782900564-si7.gif\" alt=\"\" title=\"\" width=\"680\" height=\"21\" data-inlimgeid=\"1-s2.0-0016703782900564-si7.gif\" data-loaded=\"true\" /></span>and&nbsp;<i>log</i><i>K</i><sub>2</sub>&nbsp;= &minus;107.8871 &minus; 0.03252849<i>T</i>&nbsp;+ 5151.79/<i>T</i>&nbsp;+ 38.92561&nbsp;<i>log</i><i>T</i>&nbsp;&minus; 563713.9/<i>T</i><sup>2</sup>&nbsp;which may be used to at least 250&deg;C. These expressions hold for 1 atm. total pressure between 0 and 100&deg;C and follow the vapor pressure curve of water at higher temperatures.</p>\n<p>Extensive measurements of the pH of Ca-HCO<sub>3</sub>&nbsp;solutions at 25&deg;C and 0.956 atm PCO<sub>2</sub>&nbsp;using different compositions of the reference electrode filling solution show that measured differences in pH are closely approximated by differences in liquid-junction potential as calculated by the Henderson equation. Liquid-junction corrected pH measurements agree with the calculated pH within 0.003-0.011 pH.</p>\n<p>Earlier arguments suggesting that the CaHCO<sup>+</sup><sub>3</sub>&nbsp;ion pair should not be included in the CaCO<sub>3</sub>-CO<sub>2</sub>-H<sub>2</sub>O aqueous model were based on less accurate calcite solubility data. The CaHCO<sup>+</sup><sub>3</sub>&nbsp;ion pair must be included in the aqueous model to account for the observed PCO<sub>2</sub>-dependence of aragonite solubility between 317 ppm CO<sub>2</sub>&nbsp;and 100% CO<sub>2</sub>.</p>\n<p>Previous literature on the solubility of CaCO<sub>3</sub>&nbsp;polymorphs have been critically evaluated using the aqueous model and the results are compared.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/0016-7037(82)90056-4","issn":"00167037","usgsCitation":"Plummer, N., and Busenberg, E., 1982, The solubilities of calcite, aragonite and vaterite in CO2-H2O solutions between 0 and 90°C, and an evaluation of the aqueous model for the system CaCO3-CO2-H2O: Geochimica et Cosmochimica Acta, v. 46, no. 6, p. 1011-1040, https://doi.org/10.1016/0016-7037(82)90056-4.","startPage":"1011","endPage":"1040","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":220722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb03ee4b08c986b324d14","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":361964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":361963,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":1001673,"text":"1001673 - 1982 - Variability in nest survival rates and implications to nesting studies","interactions":[],"lastModifiedDate":"2017-12-29T13:17:10","indexId":"1001673","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Variability in nest survival rates and implications to nesting studies","docAbstract":"<p>We used four reasonably large samples (83-213) of Mallard (<i>Anas platyrhynchos</i>) and Blue-winged Teal (<i>A. discors</i>) nests on an interstate highway right-of-way in southcentral North Dakota to evaluate potential biases in hatch-rate estimates. Twelve consecutive, weekly searches for nests were conducted with a cable-chain drag in 1976 and 1977. Nests were revisited at weekly intervals. Four methods were used to estimate hatch rates for the four data sets: the Traditional Method, the Mayfield Method, and two modifications of the Mayfield Method that are sometimes appropriate when daily mortality rates of nests are not constant. Hatch rates and the average age of nests at discovery declined as the interval between searches decreased, suggesting that mortality rates were not constant in our samples. An analysis of variance indicated that daily mortality rates varied with the age of nests in all four samples. Mortality was generally highest during the early laying period, moderately high during the late laying period, and lowest during incubation. We speculate that this relationship of mortality to nest age might be due to the presence of hens at nests or to differences in the vulnerability of nest sites to predation. A modification of the Mayfield Method that accounts for age-related variation in nest mortality was most appropriate for our samples. We suggest methods for conducting nesting studies and estimating nest success for species possessing similar nesting habits.</p>","language":"English","publisher":"American Ornithological Society","doi":"10.2307/4086023","usgsCitation":"Klett, A., and Johnson, D.H., 1982, Variability in nest survival rates and implications to nesting studies: The Auk, v. 99, no. 1, p. 77-87, https://doi.org/10.2307/4086023.","productDescription":"12 p.","startPage":"77","endPage":"87","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":480257,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2307/4086023","text":"Publisher Index Page"},{"id":133985,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602bf6","contributors":{"authors":[{"text":"Klett, A.T.","contributorId":34857,"corporation":false,"usgs":true,"family":"Klett","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":311491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":70327,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":311492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":11121,"text":"ofr82363 - 1982 - Water-quality data for the American River basin, California, February-October 1979","interactions":[],"lastModifiedDate":"2023-03-17T21:00:48.271702","indexId":"ofr82363","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"82-363","title":"Water-quality data for the American River basin, California, February-October 1979","docAbstract":"<p>Data were collected in the American River basin from February to October 1979 for use in assessing the water quality in the basin and developing land-use/water-quality relations. The basin covers 2,163 square miles of the western slope of the central Sierra Nevada. Basin headwaters are located primarily between Donner Summit and Echo Summit. Water-quality data were collected at 14 stream sites and at 3 sites on Folsom Lake and include selected measurements and analyses for physical, chemical, and biological properties and constituents.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr82363","usgsCitation":"Shay, J.M., 1982, Water-quality data for the American River basin, California, February-October 1979: U.S. Geological Survey Open-File Report 82-363, iv, 60 p., https://doi.org/10.3133/ofr82363.","productDescription":"iv, 60 p.","costCenters":[],"links":[{"id":38891,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1982/0363/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":143648,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1982/0363/report-thumb.jpg"},{"id":414365,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_13708.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"American River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.977,\n              39.31\n            ],\n            [\n              -121.605,\n              39.31\n            ],\n            [\n              -121.605,\n              38.622\n            ],\n            [\n              -119.977,\n              38.622\n            ],\n            [\n              -119.977,\n              39.31\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e58fd","contributors":{"authors":[{"text":"Shay, J. M.","contributorId":98321,"corporation":false,"usgs":true,"family":"Shay","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":162581,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70011536,"text":"70011536 - 1982 - Application of automated image analysis to coal petrography","interactions":[],"lastModifiedDate":"2024-02-24T01:39:00.168408","indexId":"70011536","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Application of automated image analysis to coal petrography","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"aep-abstract-id5\" class=\"abstract author\"><div id=\"aep-abstract-sec-id6\"><p>The coal petrologist seeks to determine the petrographic characteristics of organic and inorganic coal constituents and their lateral and vertical variations within a single coal bed or different coal beds of a particular coal field. Definitive descriptions of coal characteristics and coal facies provide the basis for interpretation of depositional environments, diagenetic changes, and burial history and determination of the degree of coalification or metamorphism. Numerous coal core or columnar samples must be studied in detail in order to adequately describe and define coal microlithotypes, lithotypes, and lithologic facies and their variations. The large amount of petrographic information required can be obtained rapidly and quantitatively by use of an automated image-analysis system (AIAS).</p><p>An AIAS can be used to generate quantitative megascopic and microscopic modal analyses for the lithologic units of an entire columnar section of a coal bed. In our scheme for megascopic analysis, distinctive bands 2 mm or more thick are first demarcated by visual inspection. These bands consist of either nearly pure microlithotypes or lithotypes such as vitrite/vitrain or fusite/fusain, or assemblages of microlithotypes. Megascopic analysis with the aid of the AIAS is next performed to determine volume percentages of vitrite, inertite, minerals, and microlithotype mixtures in bands 0.5 to 2 mm thick. The microlithotype mixtures are analyzed microscopically by use of the AIAS to determine their modal composition in terms of maceral and optically observable mineral components. Megascopic and microscopic data are combined to describe the coal unit quantitatively in terms of (V) for vitrite, (E) for liptite, (I) for inertite or fusite, (M) for mineral components other than iron sulfide, (S) for iron sulfide, and (VEIM) for the composition of the mixed phases (X<sub><i>i</i></sub>)<span>&nbsp;</span><i>i</i><span>&nbsp;</span>= 1,2, etc. in terms of the maceral groups vitrinite V, exinite E, inertinite I, and optically observable mineral content M. The volume percentage of each component present is indicated by a subscript. For example, a lithologic unit was determined megascopically to have the composition (V)<sub>13</sub>(I)<sub>1</sub>(S)<sub>1</sub>(X<sub>1</sub>)<sub>83</sub>(X<sub>2</sub>)<sub>2</sub>. After microscopic analysis of the mixed phases, this composition was expressed as (V)<sub>13</sub>(I)<sub>1</sub>(S)<sub>1</sub>(V<sub>63</sub>E<sub>19</sub>I<sub>14</sub>M<sub>4</sub>)<sub>83</sub>(V<sub>67</sub>E<sub>11</sub>I<sub>13</sub>M<sub>9</sub>)<sub>2</sub>. Finally, these data were combined in a description of the bulk composition as V<sub>67</sub>E<sub>16</sub>I<sub>13</sub>M<sub>3</sub>S<sub>1</sub>. An AIAS can also analyze textural characteristics and can be used for quick and reliable determination of rank (reflectance).</p><p>Our AIAS is completely software based and incorporates a television (TV) camera that has optimum response characteristics in the range of reflectance less than 5%, making it particularly suitable for coal studies. Analysis of the digitized signal from the TV camera is controlled by a microprocessor having a resolution of 64 gray levels between full illumination and dark current. The processed image is reconverted for display on a TV monitor screen, on which selection of phases or features to be analyzed is readily controlled and edited by the operator through use of a lightpen.</p><p>We expect that automated image analysis, because it can rapidly provide a large amount of pertinent information, will play a major role in the advancement of coal petrography.</p></div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/0166-5162(82)90002-7","issn":"01665162","usgsCitation":"Chao, E.C., Minkin, J., and Thompson, C., 1982, Application of automated image analysis to coal petrography: International Journal of Coal Geology, v. 2, no. 2, p. 113-150, https://doi.org/10.1016/0166-5162(82)90002-7.","productDescription":"38 p.","startPage":"113","endPage":"150","numberOfPages":"38","costCenters":[],"links":[{"id":220777,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ec96e4b0c8380cd49376","contributors":{"authors":[{"text":"Chao, E. C. T.","contributorId":96713,"corporation":false,"usgs":true,"family":"Chao","given":"E.","email":"","middleInitial":"C. T.","affiliations":[],"preferred":false,"id":361350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minkin, J.A.","contributorId":38588,"corporation":false,"usgs":true,"family":"Minkin","given":"J.A.","affiliations":[],"preferred":false,"id":361349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, C.L.","contributorId":12189,"corporation":false,"usgs":true,"family":"Thompson","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":361348,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70010416,"text":"70010416 - 1982 - Gamma-emitting radionuclide measurements at the US geological survey national water quality laboratory, Denver, Colorado","interactions":[],"lastModifiedDate":"2012-03-12T17:18:17","indexId":"70010416","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2906,"text":"Nuclear Instruments and Methods","active":true,"publicationSubtype":{"id":10}},"title":"Gamma-emitting radionuclide measurements at the US geological survey national water quality laboratory, Denver, Colorado","docAbstract":"Like sediment samples from Scofield Resevior in Utah were analyzed for 210Pb by the gamma-ray spectrometric method. The top 10 cm of surface sediment yielded excess 210Pb activity (excluding in situ 226Ra supported 210Pb) of 1.05 pCi/g dry weight and decreased to 0.25 pCi/g at a depth of 25 cm. Based on these data, sedimentation rate was approximately 0.49 cm/y for a total of 30 cm of lake sediment and a lake history of approximately 60 y. An alternative method of 210Pb measurements using wet chemical procedures followed by beta counting gave equivalent results. ?? 1982.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nuclear Instruments and Methods","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"0029554X","usgsCitation":"In, C.Y., and Ambats, E., 1982, Gamma-emitting radionuclide measurements at the US geological survey national water quality laboratory, Denver, Colorado: Nuclear Instruments and Methods, v. 193, no. 1-2, p. 197-201.","startPage":"197","endPage":"201","numberOfPages":"5","costCenters":[],"links":[{"id":219374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"193","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a14b2e4b0c8380cd54b04","contributors":{"authors":[{"text":"In, Che Yang","contributorId":39934,"corporation":false,"usgs":true,"family":"In","given":"Che","email":"","middleInitial":"Yang","affiliations":[],"preferred":false,"id":358869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ambats, E.","contributorId":23270,"corporation":false,"usgs":true,"family":"Ambats","given":"E.","email":"","affiliations":[],"preferred":false,"id":358868,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70011625,"text":"70011625 - 1982 - Worth of geophysical data in natural- disaster- insurance rate setting.","interactions":[],"lastModifiedDate":"2024-04-15T16:38:31.608254","indexId":"70011625","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"Worth of geophysical data in natural- disaster- insurance rate setting.","docAbstract":"<p><span>Insurance firms that offer natural-disaster insurance base their rates on available information. The benefits from collecting additional data and incorporating this information to improve parameter estimates of probability distributions that are used to characterize natural-disaster events can be determined by computing changes in premiums as a function of additional data. Specifically, the worth of data can be measured by changes in consumer's surplus (the widely applied measure of benefits to consumers used in benefit-cost analysis) brought about when the premiums are adjusted. In this paper, a formal model of the process for setting insurance rates is hypothesized in which the insurance firm sets rates so as to trade off penalties of overestimation and underestimation of expected damages estimated from currently available hydrologic data. A Bayesian preposterior analysis is performed which permits the determination of the expected benefits of collecting additional geophysical data by examining the changes in expected premium rates as a function of the longer record before the data are actually collected. An estimate of the expected benefits associated with collecting more data for the representative consumer is computed using an assumed demand function for insurance. In addition, a sensitivity analysis of expected benefits to changes in insurance demand and firm rate-setting procedures is carried out. From these results, conclusions are drawn regarding aggregate benefits to all flood insurance purchasers.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/1520-0450(1982)021<0453:WOGDIN>2.0.CO;2","issn":"08948763","usgsCitation":"Attanasi, E.D., and Karlinger, M., 1982, Worth of geophysical data in natural- disaster- insurance rate setting.: Journal of Applied Meteorology and Climatology, v. 21, no. 4, p. 453-460, https://doi.org/10.1175/1520-0450(1982)021<0453:WOGDIN>2.0.CO;2.","productDescription":"8 p.","startPage":"453","endPage":"460","numberOfPages":"8","costCenters":[],"links":[{"id":480275,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/1520-0450(1982)021<0453:wogdin>2.0.co;2","text":"Publisher Index Page"},{"id":221057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd1dce4b08c986b32f5b8","contributors":{"authors":[{"text":"Attanasi, E. D. 0000-0001-6845-7160","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":107672,"corporation":false,"usgs":true,"family":"Attanasi","given":"E.","middleInitial":"D.","affiliations":[],"preferred":false,"id":361570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlinger, M.R.","contributorId":95039,"corporation":false,"usgs":true,"family":"Karlinger","given":"M.R.","affiliations":[],"preferred":false,"id":361569,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70011620,"text":"70011620 - 1982 - Estimating irrigation water use and withdrawal of ground water on the High Plains, U.S.A.","interactions":[],"lastModifiedDate":"2013-01-20T09:17:03","indexId":"70011620","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":661,"text":"Advances in Space Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating irrigation water use and withdrawal of ground water on the High Plains, U.S.A.","docAbstract":"In four decades following the Dust Bowl days of the 1930's, extensive areas of dry farming and rangeland on the semi-arid U.S. High Plains were transformed into a vast region of irrigated oases, producing meat and grain for much of the world. The agricultural economy has experienced such rapid growth in part because of the availability of ground water and because of development of new irrigation technology to use that water for agriculture. However, more water is being used than is being replaced. To estimate both the volume of water withdrawn and the regional scope of the problem a technique has been developed that combines multispectral data from Earth-orbiting satellite with known pumpage data for the same growing season. The location and extent of irrigated cropland-some with different crops watered at different times-is inventoried using computer-assisted analysis of the data from Landsat. The amount of water used is estimated by multiplying and summing surface area of irrigated agriculture and the average measured pumpage from sampled sites. Published findings to date are cited in the Selected References. All suggest transferability of a promising technology to the study of land transformation processes elsewhere. ?? 1983.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Space Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/0273-1177(82)90229-0","issn":"02731177","usgsCitation":"Wray, J.R., 1982, Estimating irrigation water use and withdrawal of ground water on the High Plains, U.S.A.: Advances in Space Research, v. 2, no. 8, p. 127-129, https://doi.org/10.1016/0273-1177(82)90229-0.","startPage":"127","endPage":"129","numberOfPages":"3","costCenters":[],"links":[{"id":220987,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/0273-1177(82)90229-0"}],"volume":"2","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b24e4b0c8380cd525be","contributors":{"authors":[{"text":"Wray, J. R.","contributorId":51851,"corporation":false,"usgs":true,"family":"Wray","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":361560,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70011607,"text":"70011607 - 1982 - Comparison of techniques for estimating annual lake evaporation using climatological data","interactions":[],"lastModifiedDate":"2020-09-02T17:36:22.506657","indexId":"70011607","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of techniques for estimating annual lake evaporation using climatological data","docAbstract":"<p><span>Mean annual evaporation estimates were determined for 30 lakes by use of a numerical model (Morton, 1979) and by use of an evaporation map prepared by the U.S. Weather Service (Kohler et al., 1959). These estimates were compared to the reported value of evaporation determined from measurements on each lake. Various lengths of observation and methods of measurement were used among the 30 lakes. The evaporation map provides annual evaporation estimates which are more consistent with observations than those determined by use of the numerical model. The map cannot provide monthly estimates, however, and is only available for the contiguous United States. The numerical model can provide monthly estimates for shallow lakes and is based on monthly observations of temperature, humidity, and sunshine duration.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/WR018i003p00630","usgsCitation":"Andersen, M., and Jobson, H., 1982, Comparison of techniques for estimating annual lake evaporation using climatological data: Water Resources Research, v. 18, no. 3, p. 630-636, https://doi.org/10.1029/WR018i003p00630.","productDescription":"7 p.","startPage":"630","endPage":"636","costCenters":[],"links":[{"id":220783,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-07-09","publicationStatus":"PW","scienceBaseUri":"5059f894e4b0c8380cd4d1cd","contributors":{"authors":[{"text":"Andersen, M.E.","contributorId":39520,"corporation":false,"usgs":true,"family":"Andersen","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":361529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jobson, H.E.","contributorId":44952,"corporation":false,"usgs":true,"family":"Jobson","given":"H.E.","affiliations":[],"preferred":false,"id":361530,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70142169,"text":"70142169 - 1982 - Evaluating depth to shallow groundwater using Heat Capacity Mapping Mission (HCMM) data","interactions":[],"lastModifiedDate":"2017-01-18T14:51:34","indexId":"70142169","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating depth to shallow groundwater using Heat Capacity Mapping Mission (HCMM) data","docAbstract":"<p>Four dates of Heat Capacity Mapping Mission (HCMM) data were analyzed to evaluate the utility of HCMM thermal data for evaluating depth to shallow groundwater. During the summer, shallow water tables can create lower soil temperatures throughout the diurnal temperature cycle. Because of large spatial and temporal ground cover variations, HCMM daytime radiometric temperatures alone did not correlate with water table depth. The radiometric temperatures consisted of radiance contributions from different crop canopies and their respective soil backgrounds. However, when surface soil temperatures were empirically estimated from HCMM temperatures and percent cover of each pixel, significant correlations were obtained between estimated soil temperatures and water table depth. Correlations increased as the season progressed and temperature gradients within the soil profile increased. However, estimated soil temperatures were also correlated with near-surface soil moisture since during the daytime, increasing soil moisture reduced surface soil temperature. Complementary effects of shallow water tables and soil moisture on daytime temperatures cannot be separated.</p>","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Heilman, J.L., and Moore, D.G., 1982, Evaluating depth to shallow groundwater using Heat Capacity Mapping Mission (HCMM) data: Photogrammetric Engineering and Remote Sensing, v. 48, no. 12, p. 1903-1906.","productDescription":"4 p.","startPage":"1903","endPage":"1906","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f597c7e4b02419550d2f42","contributors":{"authors":[{"text":"Heilman, J. L.","contributorId":85723,"corporation":false,"usgs":true,"family":"Heilman","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":541655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Donald G.","contributorId":41146,"corporation":false,"usgs":true,"family":"Moore","given":"Donald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":541656,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70011428,"text":"70011428 - 1982 - Aminostratigraphy and faunal correlations of late Quaternary marine terraces, Pacific Coast, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:18:34","indexId":"70011428","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Aminostratigraphy and faunal correlations of late Quaternary marine terraces, Pacific Coast, USA","docAbstract":"Recent studies using the extent of racemization of amino acids to date fossil mollusc shells in the Arctic1, the British Isles2 and on the Atlantic3,4 and Pacific5-13 coasts of North America have relied mainly on theoretical kinetic models of racemization. Ages generated in this fashion are highly model dependent and require estimates of integrated long-term diagenetic temperatures. We present here an alternative, empirical approach to aminostratigraphy in which we plot amino acid enantiomeric ratios versus latitude (for localities along the Pacific coast of the United States), and generate isochronal correlations by connecting data points of geographically proximal localities that have similar D:L ratios and zoogeographic aspect. Isochrons are calibrated at a few localities by independent radiometric dates. The diagenetic temperature effect on racemization is reflected in the slope of the isochrons, but the need to quantify temperature is eliminated. ?? 1982 Nature Publishing Group.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1038/299545a0","issn":"00280836","usgsCitation":"Kennedy, G.L., Lajoie, K.R., and Wehmiller, J., 1982, Aminostratigraphy and faunal correlations of late Quaternary marine terraces, Pacific Coast, USA: Nature, v. 299, no. 5883, p. 545-547, https://doi.org/10.1038/299545a0.","startPage":"545","endPage":"547","numberOfPages":"3","costCenters":[],"links":[{"id":205084,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/299545a0"},{"id":221112,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"299","issue":"5883","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9bce4b0c8380cd48403","contributors":{"authors":[{"text":"Kennedy, G. L.","contributorId":23944,"corporation":false,"usgs":true,"family":"Kennedy","given":"G.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":361077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lajoie, K. R.","contributorId":6828,"corporation":false,"usgs":true,"family":"Lajoie","given":"K.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":361076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wehmiller, J.F.","contributorId":37891,"corporation":false,"usgs":false,"family":"Wehmiller","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":361078,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70011504,"text":"70011504 - 1982 - Estimation of earthquake source parameters by the inversion of waveform data: synthetic waveforms","interactions":[],"lastModifiedDate":"2013-02-13T13:37:24","indexId":"70011504","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3071,"text":"Physics of the Earth and Planetary Interiors","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of earthquake source parameters by the inversion of waveform data: synthetic waveforms","docAbstract":"Two methods are presented for the recovery of a time-dependent moment-tensor source from waveform data. One procedure utilizes multichannel signal-enhancement theory; in the other a multichannel vector-deconvolution approach, developed by Oldenburg (1982) and based on Backus-Gilbert inverse theory, is used. These methods have the advantage of being extremely flexible; both may be used either routinely or as research tools for studying particular earthquakes in detail. Both methods are also robust with respect to small errors in the Green's functions and may be used to refine estimates of source depth by minimizing the misfits to the data. The multichannel vector-deconvolution approach, although it requires more interaction, also allows a trade-off between resolution and accuracy, and complete statistics for the solution are obtained. The procedures have been tested using a number of synthetic body-wave data sets, including point and complex sources, with satisfactory results. ?? 1982.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Physics of the Earth and Planetary Interiors","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/0031-9201(82)90094-2","issn":"00319201","usgsCitation":"Sipkin, S., 1982, Estimation of earthquake source parameters by the inversion of waveform data: synthetic waveforms: Physics of the Earth and Planetary Interiors, v. 30, no. 2-3, p. 242-259, https://doi.org/10.1016/0031-9201(82)90094-2.","startPage":"242","endPage":"259","numberOfPages":"18","costCenters":[],"links":[{"id":267342,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/0031-9201(82)90094-2"},{"id":221240,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b86e4b0c8380cd5276c","contributors":{"authors":[{"text":"Sipkin, S.A.","contributorId":9399,"corporation":false,"usgs":true,"family":"Sipkin","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":361280,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70139720,"text":"70139720 - 1982 - Evaluation of AMOEBA: a spectral-spatial classification method","interactions":[],"lastModifiedDate":"2017-05-18T12:39:49","indexId":"70139720","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3860,"text":"Journal of Applied Photographic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of AMOEBA: a spectral-spatial classification method","docAbstract":"<p>Muitispectral remotely sensed images have been treated as arbitrary multivariate spectral data for purposes of clustering and classifying. However, the spatial properties of image data can also be exploited. AMOEBA is a clustering and classification method that is based on a spatially derived model for image data. In an evaluation test, Landsat data were classified with both AMOEBA and a widely used spectral classifier. The test showed that irrigated crop types can be classified as accurately with the AMOEBA method as with the generally used spectral method ISOCLS; the AMOEBA method, however, requires less computer time.</p>","language":"English","publisher":"Society for Imaging Science and Technology","usgsCitation":"Jenson, S.K., Loveland, T., and Bryant, J., 1982, Evaluation of AMOEBA: a spectral-spatial classification method: Journal of Applied Photographic Engineering, v. 8, no. 3, p. 159-162.","productDescription":"4 p.","startPage":"159","endPage":"162","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1b6e4b02e76d7590be3","contributors":{"authors":[{"text":"Jenson, Susan K.","contributorId":66859,"corporation":false,"usgs":true,"family":"Jenson","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":539611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":539612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryant, J.","contributorId":138992,"corporation":false,"usgs":false,"family":"Bryant","given":"J.","email":"","affiliations":[],"preferred":false,"id":539613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169213,"text":"70169213 - 1982 - Engineering aspects of seismological studies in Peru","interactions":[],"lastModifiedDate":"2016-03-31T15:52:12","indexId":"70169213","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1435,"text":"Earthquake Information Bulletin (USGS)","active":true,"publicationSubtype":{"id":10}},"title":"Engineering aspects of seismological studies in Peru","docAbstract":"<p>Large and small earthquakes occur frequently in Peru. Official institutions in charge of the study of seismological and geophysical aspects of such large natural events have a responsibility to provide engineers, planners, and government&nbsp;officials with basic data to implement safety measures to minimize the destructive impact of great earthquakes. The Geophysical Institute of Peru (IGP) is one such institution.</p>\n<p>The interest of the scientific community in earthquake studies has been high in Peru for a long period of time. In contrast, the negineering and social aspects of earthquakes have been studied only for the past decade.</p>\n<p>In retrospect, the Peruvian national long-range earthquake-study program began after the catastrophic earthquake of May 31, 1970. This earthquake triggered a large snow avalanche from Huascaran mountain, killing over 60,000 people, and covering with mud small cities and tens of villages in the Andean valley of Callejon de Huaylas, Huaraz. Since then, great efforts have been made to learn about the natural seismic environment and its engineering and social aspects. The Organization of American States (OAS)has been one of the most important agencies in the development of the program.&nbsp;</p>","language":"English","publisher":"U.S Geological Survey","usgsCitation":"Ocola, L., 1982, Engineering aspects of seismological studies in Peru: Earthquake Information Bulletin (USGS), v. 14, no. 1, p. 33-38.","productDescription":"6 p.","startPage":"33","endPage":"38","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":319288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.419921875,\n              -3.425691524418062\n            ],\n            [\n              -80.244140625,\n              -4.390228926463384\n            ],\n            [\n              -79.189453125,\n              -4.915832801313164\n            ],\n            [\n              -78.75,\n              -3.864254615721396\n            ],\n            [\n              -78.134765625,\n              -3.074695072369669\n            ],\n            [\n              -76.81640625,\n              -2.284550660236957\n            ],\n            [\n              -75.41015624999999,\n              -1.318243056862001\n            ],\n            [\n              -75.498046875,\n              -0.4394488164139641\n            ],\n            [\n              -75.234375,\n              0\n            ],\n            [\n              -73.388671875,\n              -1.4939713066293112\n            ],\n            [\n              -72.861328125,\n              -2.460181181020993\n            ],\n            [\n              -71.3671875,\n              -2.284550660236957\n            ],\n            [\n              -70.3125,\n              -2.5479878714713835\n            ],\n            [\n              -70.48828125,\n              -3.601142320158722\n            ],\n            [\n              -70.224609375,\n              -4.214943141390639\n            ],\n            [\n              -71.630859375,\n              -4.8282597468669755\n            ],\n            [\n              -72.7734375,\n              -5.703447982149503\n            ],\n            [\n              -73.30078125,\n              -6.489983332670651\n            ],\n            [\n              -73.65234375,\n              -7.449624260197804\n            ],\n            [\n              -73.037109375,\n              -9.015302333420586\n            ],\n            [\n              -72.158203125,\n              -9.88227549342994\n            ],\n            [\n              -70.57617187499999,\n              -9.535748998133627\n            ],\n            [\n              -70.400390625,\n              -10.919617760254685\n            ],\n            [\n              -69.43359375,\n              -11.092165893501988\n            ],\n            [\n              -68.818359375,\n              -12.46876014482322\n            ],\n            [\n              -68.994140625,\n              -14.008696370634658\n            ],\n            [\n              -69.2578125,\n              -15.538375926292048\n            ],\n            [\n              -68.90625,\n              -16.383391123608387\n            ],\n            [\n              -70.400390625,\n              -18.312810846425432\n            ],\n            [\n              -71.982421875,\n              -17.72775860985227\n            ],\n            [\n              -75.76171875,\n              -15.876809064146757\n            ],\n            [\n              -77.51953125,\n              -12.897489183755892\n            ],\n            [\n              -80.244140625,\n              -7.36246686553575\n            ],\n            [\n              -82.001953125,\n              -5.178482088522876\n            ],\n            [\n              -81.650390625,\n              -3.601142320158722\n            ],\n            [\n              -80.419921875,\n              -3.425691524418062\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f3be41e4b0f59b85e02e7b","contributors":{"authors":[{"text":"Ocola, L.","contributorId":167735,"corporation":false,"usgs":false,"family":"Ocola","given":"L.","email":"","affiliations":[],"preferred":false,"id":623343,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":85369,"text":"85369 - 1982 - Population modeling for furbearer management","interactions":[],"lastModifiedDate":"2012-02-02T00:04:01","indexId":"85369","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Population modeling for furbearer management","docAbstract":"The management of furbearers has become increasingly complex as greater demands are placed on their populations. Correspondingly, needs for information to use in management have increased. Inadequate information leads the manager to err on the conservative side; unless the size of the 'harvestable surplus' is known, the population cannot be fully exploited. Conversely, information beyond what is needed becomes an unaffordable luxury. Population modeling has proven useful for organizing information on numerous game animals. Modeling serves to determine if information of the right kind and proper amount is being gathered; systematizes data collection, data interpretation, and decision making; and permits more effective management and better utilization of game populations. This report briefly reviews the principles of population modeling, describes what has been learned from previous modeling efforts on furbearers, and outlines the potential role of population modeling in furbearer management.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Midwest Furbearer Management. N. Central Sec., Central Mountains and Plains Sec., and KS.","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","usgsCitation":"Johnson, D.H., 1982, Population modeling for furbearer management, chap. <i>of</i> Midwest Furbearer Management. N. Central Sec., Central Mountains and Plains Sec., and KS., p. 25-37.","productDescription":"p. 25-37","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":127973,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db683e8d","contributors":{"editors":[{"text":"Sanderson, G.C.","contributorId":65573,"corporation":false,"usgs":true,"family":"Sanderson","given":"G.C.","email":"","affiliations":[],"preferred":false,"id":504440,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":70327,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":295962,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006377,"text":"70006377 - 1982 - Detection of diethylnitrosamine in nitrate-rich water following treatment with Rhodamine flow tracers","interactions":[],"lastModifiedDate":"2026-03-16T16:16:12.072498","indexId":"70006377","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Detection of diethylnitrosamine in nitrate-rich water following treatment with Rhodamine flow tracers","docAbstract":"<p><span>Extremely carcinogenic diethylnitrosamine (DENA) was found to form in up to 75% yield from the reaction of nitrite with the two commonly used water tracing dyes. Rhodamine B and Rhodamine WT, DENA was detected at trace levels (0.13–7.02 μg&nbsp;</span><sup>−1</sup><span>) in river water samples after treatment with the dye and nitrite. Analysis of these chemically treated environmental water samples required extensive separation techniques prior to acquisition of reliable analytical data using highly sensitive instruments for detection. The occurrence of DENA in nitrite-rich water treated with Rhodamines may pose a health hazard to general populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/0043-1354(82)90111-7","usgsCitation":"Abidi, S.L., 1982, Detection of diethylnitrosamine in nitrate-rich water following treatment with Rhodamine flow tracers: Water Research, v. 16, no. 2, p. 199-204, https://doi.org/10.1016/0043-1354(82)90111-7.","productDescription":"6 p.","startPage":"199","endPage":"204","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":258232,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ff73e4b0c8380cd4f1c6","contributors":{"authors":[{"text":"Abidi, S. L.","contributorId":19898,"corporation":false,"usgs":true,"family":"Abidi","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":354414,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174596,"text":"70174596 - 1982 - Low-frequency variations in sea level and currents in south San Francisco Bay","interactions":[],"lastModifiedDate":"2016-07-27T15:41:46","indexId":"70174596","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2426,"text":"Journal of Physical Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Low-frequency variations in sea level and currents in south San Francisco Bay","docAbstract":"<p><span>In order to examine physical process in the subtidal time range, sea-level and current meter data for south San Francisco Bay (South Bay) were filtered using a low-pass digital filter to remove tidal period variations. and then subjected to an empirical orthogonal function analysis. For the sea-level data, there is one dominant empirical mode that is correlated with nonlocal coastal forcing. A small amount of the variance is associated with local wind setup. For the current meter data, there are two dominant empirical modes that correlate with local wind forcing and tidal forcing over the spring-neap cycle. In general, South Bay is dominated by coastal forcing on sea level during all seasons, and dominated by wind and tidal forcing on the residual currants during the summer.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/1520-0485(1982)012<0658:LFVISL>2.0.CO;2","usgsCitation":"Walters, R.A., 1982, Low-frequency variations in sea level and currents in south San Francisco Bay: Journal of Physical Oceanography, v. 12, p. 658-668, https://doi.org/10.1175/1520-0485(1982)012<0658:LFVISL>2.0.CO;2.","productDescription":"11 p.","startPage":"658","endPage":"668","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":480555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/1520-0485(1982)012<0658:lfvisl>2.0.co;2","text":"Publisher Index Page"},{"id":325198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.47695922851562,\n              37.41816326969145\n            ],\n            [\n              -122.47695922851562,\n              37.832564787218985\n            ],\n            [\n              -121.90292358398438,\n              37.832564787218985\n            ],\n            [\n              -121.90292358398438,\n              37.41816326969145\n            ],\n            [\n              -122.47695922851562,\n              37.41816326969145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5787662fe4b0d27deb36e18e","contributors":{"authors":[{"text":"Walters, Roy A.","contributorId":74877,"corporation":false,"usgs":true,"family":"Walters","given":"Roy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":642400,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175019,"text":"70175019 - 1982 - Modeling of tidal and residual circulation in San Francisco Bay, California","interactions":[],"lastModifiedDate":"2016-07-26T16:09:30","indexId":"70175019","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling of tidal and residual circulation in San Francisco Bay, California","docAbstract":"<p><span>Several numerical models have been developed and implemented to simulate tidal and residual circulation in San Francisco Bay. Because of a broad distribution in time scales, hydrodynamic models must be formulated to account for the proper time and spatial scales which dominate the transport processes. A complete current survey of the San Francisco Bay system was conducted jointly between NOS/NOAA and USGS (Patchen and Cheng, 1979). Presently, these current meter data are being processed and analyzed, and concurrently further development of tidal and residual circulation models continues. When these data become available, they will be used to calibrate the numerical models and to guide refinement of hydrodynamic models in order to maximize our understanding of the Bay system. Our modeling efforts will be extended to the northern reach of the Bay system.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings, Seminar on 2-D Flows","conferenceTitle":"Seminar on 2-D Flows","conferenceDate":"July 1981","conferenceLocation":"Davis, Calif.","language":"English","publisher":"U.S. Army Corps of Engineers","usgsCitation":"Cheng, R.T., 1982, Modeling of tidal and residual circulation in San Francisco Bay, California, <i>in</i> Proceedings, Seminar on 2-D Flows, Davis, Calif., July 1981, p. 172-185.","productDescription":"16 p.","startPage":"172","endPage":"185","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":325674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579889bce4b0589fa1c6bac6","contributors":{"authors":[{"text":"Cheng, R. T.","contributorId":23138,"corporation":false,"usgs":false,"family":"Cheng","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":643618,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70139919,"text":"70139919 - 1982 - Refining Landsat classification results using digital terrain data","interactions":[],"lastModifiedDate":"2017-01-18T14:55:45","indexId":"70139919","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3860,"text":"Journal of Applied Photographic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Refining Landsat classification results using digital terrain data","docAbstract":"<p>&nbsp;Scientists at the U.S. Geological Survey's Earth Resources Observation systems (EROS) Data Center have recently completed two land-cover mapping projects in which digital terrain data were used to refine Landsat classification results. Digital ter rain data were incorporated into the Landsat classification process using two different procedures that required developing decision criteria either subjectively or quantitatively. The subjective procedure was used in a vegetation mapping project in Arizona, and the quantitative procedure was used in a forest-fuels mapping project in Montana. By incorporating digital terrain data into the Landsat classification process, more spatially accurate landcover maps were produced for both projects.</p>","language":"English","publisher":"Society for Imaging Science and Technology","usgsCitation":"Miller, W.A., and Shasby, M., 1982, Refining Landsat classification results using digital terrain data: Journal of Applied Photographic Engineering, v. 8, no. 1, p. 35-40.","productDescription":"6 p.","startPage":"35","endPage":"40","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1bde4b02e76d7590bf9","contributors":{"authors":[{"text":"Miller, Wayne A. wamiller@usgs.gov","contributorId":1123,"corporation":false,"usgs":true,"family":"Miller","given":"Wayne","email":"wamiller@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":539685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shasby, Mark shasbym@usgs.gov","contributorId":223,"corporation":false,"usgs":true,"family":"Shasby","given":"Mark","email":"shasbym@usgs.gov","affiliations":[],"preferred":false,"id":539686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139921,"text":"70139921 - 1982 - The availability of conventional forms of remotely sensed data","interactions":[],"lastModifiedDate":"2017-01-18T14:55:26","indexId":"70139921","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3860,"text":"Journal of Applied Photographic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"The availability of conventional forms of remotely sensed data","docAbstract":"<p>For decades Federal and State agencies have been collecting aerial photographs of various film types and scales over parts of the United States. More recently, worldwide Earth resources data acquired by orbiting satellites have inundated the remote sensing community. Determining the types of remotely sensed data that are publicly available can be confusing to the land-resource manager, planner, and scientist. This paper is a summary of the more commonly used types of remotely sensed data (aircraft and satellite) and their public availability. Special emphasis is placed on the National High-Altitude Photography (NHAP) program and future remote-sensing satellites.</p>","language":"English","publisher":"Society for Imaging Science and Technology","usgsCitation":"Sturdevant, J.A., and Holm, T.M., 1982, The availability of conventional forms of remotely sensed data: Journal of Applied Photographic Engineering, v. 8, no. 3, p. 153-158.","productDescription":"6 p.","startPage":"153","endPage":"158","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1c0e4b02e76d7590c08","contributors":{"authors":[{"text":"Sturdevant, James A.","contributorId":67563,"corporation":false,"usgs":true,"family":"Sturdevant","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":539688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm, Thomas M. holm@usgs.gov","contributorId":261,"corporation":false,"usgs":true,"family":"Holm","given":"Thomas","email":"holm@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":539689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":27711,"text":"wri8236 - 1982 - Chemical-quality reconnaissance of the water and surficial bed material in the Delaware River estuary and adjacent New Jersey tributaries, 1980-81","interactions":[],"lastModifiedDate":"2023-04-07T18:39:53.691423","indexId":"wri8236","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"82-36","title":"Chemical-quality reconnaissance of the water and surficial bed material in the Delaware River estuary and adjacent New Jersey tributaries, 1980-81","docAbstract":"This report presents chemical-quality data collected from May 1980 to January 1981 at several locations within the Delaware River estuary and selected New Jersey tributaries. Samples of surface water were analyzed Environmental Protection Agency ' priority pollutants, ' including acid extractable, base/neutral extractable and volatile organic compounds, in addition to selected dissolved inorganic constituents. Surficial bed material at selected locations was examined for trace metals, insecticides, polychlorinated biphenyls, and base/neutral extractable organic compounds. Trace levels (1-50 micrograms per liter) of purgeable organic compounds, particularly those associated with the occurrence of hydrocarbons, were found in about 60% of the water samples taken. DDT, DDD, DDE, PCB 's and chlordane are present in most surficial bed material samples. Diazinon was the only organophosphorous insecticide detected in the study (1.6 micrograms per kilogram at one location). High values for select trace metals in bed material were discovered at two locations. Of the 10 sites sampled, the surficial bed material containing the most contamination was found along one cross section of Raccoon Creek at Bridgeport. An additional analysis of Raccoon Creek revealed bed material containing toluene, oil and grease, and trace quantities of 15 base/neutral extractable organic compounds, including polynuclear aromatic hydrocarbons, phthalate esters, and chlorinated benzenes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri8236","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection, Division of Water Resources","usgsCitation":"Hochreiter, J.J., 1982, Chemical-quality reconnaissance of the water and surficial bed material in the Delaware River estuary and adjacent New Jersey tributaries, 1980-81: U.S. Geological Survey Water-Resources Investigations Report 82-36, vii, 41 p., https://doi.org/10.3133/wri8236.","productDescription":"vii, 41 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1980-01-01","temporalEnd":"1981-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":158491,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri_82_36.gif"},{"id":415449,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_35530.htm","linkFileType":{"id":5,"text":"html"}},{"id":261852,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri82-36/","linkFileType":{"id":5,"text":"html"}},{"id":261853,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri82-36/pdf/wrir82-36.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"New Jersey","otherGeospatial":"Delaware River estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.55,\n              40.144\n            ],\n            [\n              -75.55,\n              39.9\n            ],\n            [\n              -74.702,\n              39.9\n            ],\n            [\n              -74.702,\n              40.144\n            ],\n            [\n              -75.55,\n              40.144\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dee4b07f02db5e29ea","contributors":{"authors":[{"text":"Hochreiter, Joseph J. Jr.","contributorId":94345,"corporation":false,"usgs":true,"family":"Hochreiter","given":"Joseph","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":198573,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":27713,"text":"wri8253 - 1982 - Ground-water temperature of the with application to ground-water-source heat pumps","interactions":[],"lastModifiedDate":"2023-07-14T15:22:08.941467","indexId":"wri8253","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"82-53","title":"Ground-water temperature of the with application to ground-water-source heat pumps","docAbstract":"Ground-water temperature was measured during a one-year period (1980-81) in 20 wells in the Wyoming Quadrangle in central Delaware. Data from thermistors set at fixed depths in two wells were collected twice each week, and vertical temperature profiles of the remaining 18 wells were made monthly. Ground-water temperature at 8 feet below land surface in well Jc55-1 ranged from 45.0 degrees F in February to 70.1 degrees F in September. Temperature at 35 feet below land surface in the same well reached a minimum of 56.0 degrees F in August, and a maximum of 57.8 degrees F in February. Average annual temperature of ground water at 25 feet below land surface in all wells ranged from 54.6 degrees F to 57.8 degrees F. Variations of average temperature probably reflect the presence or absence of forestation in the recharge areas of the wells. Ground-water-source heat pumps supplied with water from wells 30 or more feet below land surface will operate more efficiently in both heating and cooling modes than those supplied with water from shallower depths. (USGS)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri8253","usgsCitation":"Hodges, A.L., 1982, Ground-water temperature of the with application to ground-water-source heat pumps: U.S. Geological Survey Water-Resources Investigations Report 82-53, vi, 29 p., https://doi.org/10.3133/wri8253.","productDescription":"vi, 29 p.","costCenters":[],"links":[{"id":366225,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1982/0053/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":158501,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1982/0053/report-thumb.jpg"}],"country":"United States","state":"Delaware","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.7562255859375,\n              38.839707613545144\n            ],\n            [\n              -75.2288818359375,\n              38.839707613545144\n            ],\n            [\n              -75.2288818359375,\n              39.2407625100131\n            ],\n            [\n              -75.7562255859375,\n              39.2407625100131\n            ],\n            [\n              -75.7562255859375,\n              38.839707613545144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a96e4b07f02db65a38e","contributors":{"authors":[{"text":"Hodges, Arthur L. Jr.","contributorId":62075,"corporation":false,"usgs":true,"family":"Hodges","given":"Arthur","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":198576,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186167,"text":"70186167 - 1982 - Volatilization of organic compounds from streams","interactions":[],"lastModifiedDate":"2023-02-23T17:21:18.600332","indexId":"70186167","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2255,"text":"Journal of Environmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Volatilization of organic compounds from streams","docAbstract":"<p><span>Mass-transfer coefficients for the volatilization of ethylene and propane were correlated with the hydraulic and geometric properties of seven streams, and predictive equations were developed. The equations were evaluated using a normalized root-mean-square error as the criterion of comparison. The two best equations were a two-variable equation containing the energy dissipated per unit mass per unit time and the average depth of flow and a three-variable equation containing the average velocity, the average depth of flow, and the slope of the stream. Procedures for adjusting the ethylene and propane coefficients for other organic compounds were evaluated. These procedures are based on molecular diffusivity, molecular diameter, or molecular weight. Because of limited data, none of these procedures have been extensively verified. Therefore, until additional data become available, it is suggested that the mass-transfer coefficient be assumed to be inversely proportional to the square root of the molecular weight.</span></p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/JEEGAV.0001356","usgsCitation":"Rathburn, R.E., and Tai, D.Y., 1982, Volatilization of organic compounds from streams: Journal of Environmental Engineering, v. 108, p. 973-989, https://doi.org/10.1061/JEEGAV.0001356.","productDescription":"17 p.","startPage":"973","endPage":"989","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1955e4b02ff32c699cdf","contributors":{"authors":[{"text":"Rathburn, Ronald E.","contributorId":190187,"corporation":false,"usgs":false,"family":"Rathburn","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":687738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tai, D. Y.","contributorId":59778,"corporation":false,"usgs":true,"family":"Tai","given":"D.","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":687739,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70142599,"text":"70142599 - 1982 - Use of Landsat data to evaluate lesser prairie chicken habitats in western Oklahoma","interactions":[],"lastModifiedDate":"2017-01-18T14:47:40","indexId":"70142599","displayToPublicDate":"1982-01-01T00:00:00","publicationYear":"1982","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Use of Landsat data to evaluate lesser prairie chicken habitats in western Oklahoma","docAbstract":"<p>Landsat digital data were used to evaluate lesser prairie chicken (Tympanuchus pallidicinctus) habitats in western Oklahoma. Data for 7 (4,144 ha) study areas, 4 in shinnery oak (Quercus havardii), and 3 in sand sagebrush (Artemisia filifolia) rangeland, were analyzed using the Interactive Digital Image Manipulation System at the EROS Center. In shinnery oak rangeland, density of displaying males was correlated positively with percentage of area in grassland classes and negatively correlated with the percentage in brushland classes. In sand sagebrush rangeland, density of displaying males was negatively, but not significantly correlated with percentage of area in bare soil and grassland classes, and positively, but not significantly correlated with percentage of area in brushland classes. The trends found between density of displaying males and the Landsat-generated resource classes closely parallel similar relationships found with field sampling techniques. Analysis of the Landsat digital data for this study cost 13.8 cents/ha. Because larger areas could have been analyzed with the same digital data, the unit cost for analysis would decline with increasingly larger areas.</p>","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Cannon, R.W., Knopf, F., and Pettinger, L.R., 1982, Use of Landsat data to evaluate lesser prairie chicken habitats in western Oklahoma: Photogrammetric Engineering and Remote Sensing, v. 46, no. 4, p. 915-922.","productDescription":"8 p.","startPage":"915","endPage":"922","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298350,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/3808224"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.4697265625,\n              34.939985151560435\n            ],\n            [\n              -101.4697265625,\n              37.00255267215955\n            ],\n            [\n              -97.734375,\n              37.00255267215955\n            ],\n            [\n              -97.734375,\n              34.939985151560435\n            ],\n            [\n              -101.4697265625,\n              34.939985151560435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec43ee4b02419550debeb","contributors":{"authors":[{"text":"Cannon, Richard W.","contributorId":24293,"corporation":false,"usgs":true,"family":"Cannon","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":541984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knopf, Fritz L.","contributorId":30549,"corporation":false,"usgs":true,"family":"Knopf","given":"Fritz L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":541985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pettinger, Lawrence R.","contributorId":18274,"corporation":false,"usgs":true,"family":"Pettinger","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":541986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}