An educational information packet about the 2025 List of Critical Minerals, which includes a memory match game about select critical minerals and how they are used.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/gip266","usgsCitation":"Olinger, D.A., 2026, Critical minerals memory match game: U.S. Geological Survey General Information Product 266, 4 p., https://doi.org/10.3133/gip266.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-186695","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":504592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/266/coverthb.jpg"},{"id":504593,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/266/gip266.pdf","text":"Report","size":"7.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 266"}],"contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, Mail Stop 973
Denver, CO 80225-0046
The Great Lakes Geologic Mapping Coalition (GLGMC), commonly referred to as the “Coalition,” is a partnership between the U.S. Geological Survey (USGS), the U.S. States of Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, and Wisconsin and the Canadian province of Ontario. The member States receive funding for geologic mapping work from the USGS National Cooperative Geologic Mapping Program (NCGMP), whereas Ontario participates as a nonfunded partner. The mission of the GLGMC is to produce three-dimensional (3D) geologic maps that depict unconsolidated sediments and near-surface bedrock in the Great Lakes region of North America. Geologic maps are the basis of most earth science investigations and help support resource exploration (energy, minerals, groundwater), natural hazard mitigation, infrastructure development, and land-use planning, all of which can be used to advance economic development and strengthen national security in the Great Lakes region.
During the last few million years, the Great Lakes region has experienced repeated glacial advances and retreats, leaving behind extensive sediments, abundant natural resources, and widespread effects on the underlying bedrock geology (Swezey and others, 2022). Linked by shared histories of past glaciations, industrial agriculture, and legacy automotive, coal, steel, and manufacturing industries, the GLGMC member States collaborate to improve the understanding of the 3D distribution of the sediments overlying the region’s bedrock (fig. 1). Developing a comprehensive subsurface 3D framework of this glaciated terrain can provide earth science data to policymakers at all levels. These insights facilitate informed decisions on the exploration, use, and protection of vital resources, such as critical minerals, industrial materials, and aquifers, thereby supporting economic prosperity and the well-being of the citizens of this region.
Since its inception in 1998, the Coalition has completed more than 100 geologic mapping projects across the Great Lakes region. Each project aims to deliver geologic maps, 3D datasets, and other information that improves understanding of the geology of the Great Lakes region, with an emphasis on economic and water resources. Key deliverables include 3D geologic maps and models typically portraying sediment thickness, often derived from top-of-bedrock and borehole data. These products are developed through a combination of fieldwork, subsurface modeling, and the collection and analysis of rock and sediment cores.
To support Coalition goals, member States collaborate with scientists working on related STATEMAP, EDMAP, and FEDMAP projects. Coalition scientists also engage with Tribal Nations in the Great Lakes region to ensure that Tribal interests pertaining to Coalition work are addressed. Through this collaboration, the Coalition unites the efforts of State, Federal, and Tribal Nation stakeholders to advance geologic data production and enhance understanding of the geologic resources of the Great Lakes region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20263010","issn":"2327-6932","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Lopez, B., Shelton, J.L., Marketti, M., Ritzel, K., and Graham, B.L., 2026, The Great Lakes Geologic Mapping Coalition—Working collaboratively to understand the geology of the Great Lakes Region: U.S. Geological Survey Fact Sheet 2026–3010, 4 p., https://doi.org/10.3100/fs20263010.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-182781","costCenters":[{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"links":[{"id":504520,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3010/fs20263010.pdf","text":"Report","size":"34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3010 PDF"},{"id":504508,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3010/fs20263010.XML","description":"FS 2026-3010 XML"},{"id":504507,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263010/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3010 HTML"},{"id":504506,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3010/coverthb.jpg"},{"id":504509,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3010/images"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.02049880324554,\n 50.19476423072376\n ],\n [\n -74.32998999345827,\n 50.19476423072376\n ],\n [\n -74.32998999345827,\n 39.549260024659674\n ],\n [\n -94.02049880324554,\n 39.549260024659674\n ],\n [\n -94.02049880324554,\n 50.19476423072376\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Program Officer, National Cooperative Geologic Mapping Program
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 913
Reston, VA 20192
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 419 million barrels of oil and 5.5 trillion cubic feet of gas in the Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins of northern Africa.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263009","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Leathers-Miller, H.M., Brownfield, M.E., Le, P.A., Gaswirth, S.B., and Tennyson, M.E., 2026, Assessment of undiscovered conventional oil and gas resources in the Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins of northern Africa, 2026: U.S. Geological Survey Fact Sheet 2026–3009, 4 p., https://doi.org/10.3133/fs20263009.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-109708","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504437,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QH5VP","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins of Northern Africa—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":504436,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3009/fs20263009.pdf","text":"Report","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3009"},{"id":504435,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3009/coverthb.jpg"},{"id":504556,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3009/images"},{"id":504557,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3009/fs20263009.xml"},{"id":504586,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263009/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3009"}],"country":"Algeria, Libya, Niger, Sudan, Tunisia","otherGeospatial":"Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 4,\n 36\n ],\n [\n 25,\n 36\n ],\n [\n 25,\n 18.5\n ],\n [\n 4,\n 18.5\n ],\n [\n 4,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
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Denver, CO 80225-0046
This report describes the methodology used for the construction of a digital three-layer geologic model of the conterminous United States by mapping the altitude of three surfaces: land surface, the top of bedrock, and the top of basement. These surfaces are mapped through the compilation and synthesis of published stratigraphic horizons from numerous topical studies. The mapped surfaces create a three-layer geologic model with three geomaterial-based subdivisions: unconsolidated to weakly consolidated sediment; layered consolidated rock strata that constitute bedrock; and crystalline rocks that are described as “basement,” consisting of either igneous, metamorphic, or highly deformed rocks. The data compilation and synthesis are highly dependent on the definition of the informal terms “bedrock” and “basement,” which may describe different ages or types of rock in different parts of the conterminous United States. This report presents the conceptualization of the three mapped layers, describes the datasets used, and summarizes the decisions made while compiling the three-layer model from the various sources. This digital dataset was created as part of efforts by the U.S. Geological Survey to develop subsurface geologic data in geospatial form as part of a broad directive to develop two-dimensional and three-dimensional geologic information at detailed, national, and continental scales. This digital dataset partly fulfills the goal of the U.S. Geological Survey’s National Cooperative Geologic Mapping Program to construct a national-scale three-dimensional geologic model.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/dr1220","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Sweetkind, D.S., 2026, Methodology for construction of a three-layer geologic model of the conterminous United States using land surface, top of bedrock, and top of basement: U.S. Geological Survey Data Report 1220, 43 p., https://doi.org/10.3133/dr1220.","productDescription":"Report; vii, 43 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-175653","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":502720,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LGSI6Q","text":"USGS data release","linkHelpText":"Preliminary digital data for a 3-layer geologic model of the conterminous United States using land surface, top of bedrock, and top of basement (ver. 1.1, April 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U.S. Geological Survey
Box 25046, Mail Stop 980
Denver, CO 80225
This report is a companion to a digital dataset created as part of U.S. Geological Survey National Cooperative Geologic Mapping Program efforts to develop subsurface geologic data in geospatial form at regional to national scales. The report describes data sources and methods used to construct a digital three-layer geologic model of the conterminous United States by mapping the altitude of three surfaces: land surface, top of bedrock, and top of basement.
","publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":959223,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275743,"text":"sir20265012 - 2026 - Status and understanding of groundwater quality in the San Joaquin Valley Kern County subbasin domestic-supply aquifer study unit, 2022—California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2026-05-20T13:44:06.709596","indexId":"sir20265012","displayToPublicDate":"2026-05-19T10:38:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5012","displayTitle":"Status and Understanding of Groundwater Quality in the San Joaquin Valley Kern County Subbasin Domestic-Supply Aquifer Study Unit, 2022: California GAMA Priority Basin Project","title":"Status and understanding of groundwater quality in the San Joaquin Valley Kern County subbasin domestic-supply aquifer study unit, 2022—California GAMA Priority Basin Project","docAbstract":"The quality of water accessed by domestic wells (here referred to as domestic groundwater resources) in the San Joaquin Valley Kern County subbasin (basin number 5-022.14) was assessed as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project (GAMA-PBP), in cooperation with the California State Water Resources Control Board. Kern County is at the southern end of the San Joaquin Valley in California, and about 30,000 residents are estimated to use privately owned domestic wells for drinking water. Domestic wells typically draw from shallower parts of the aquifer system than public-supply wells and can be more vulnerable to effects from surface activities. Kern County is host to a highly productive agricultural industry, with Bakersfield as the main urban center. The Kern River runs through Bakersfield from the southern Sierra Nevada and intersects the Kern Water Bank, one of the largest groundwater banking operations in California, at the Kern River Intertie. The section of the Kern River running through the Kern Water Bank is dry most years. Kern County also encompasses some of the most productive oil and gas basins in California, with extensive underground and surface disposal of oil-field wastewater.
This study was based on data collected from 33 sites sampled by the U.S. Geological Survey for the GAMA-PBP in 2022. To provide context for the water quality assessment, measured concentrations were compared to regulatory and non-regulatory health-based and aesthetic benchmarks. A grid-based method was used to estimate the proportions of the groundwater resources used for domestic-supply wells that have water-quality constituents below (low relative concentration), approaching (moderate relative concentration), or above (high relative concentration) benchmark concentrations. At least one measured constituent with a regulatory benchmark was categorized as having a high relative concentration in 72 percent of the aquifer area used for domestic groundwater resources. Inorganic constituents were detected at high concentrations in 45 percent of the domestic groundwater resources, and the constituents detected above regulatory benchmarks were arsenic, nitrate, and uranium. At least one organic constituent was detected at high concentrations in 41 percent of the domestic groundwater resources, and the constituents exceeding regulatory benchmarks were the fumigants 1,2,3-trichloropropane (1,2,3-TCP), 1,2-dibromo-3-chloropropane (dibromochloropropane [DBCP]), 1,2-dibromoethane (EDB), and the per-and polyfluoroalkyl substance (PFAS) perfluorooctanesulfonate. The disinfection by-product chloroform, the fumigant 1,2-dichloropropane, the herbicides atrazine and hexazinone, and the herbicide degradates 2-chloro-6-ethylamino-4-amino-s-triazine, 2-chloro-4,6-diamino-s-triazine, 4-hydroxychlorothalonil, and metolachlor sulfonic acid were detected in more than 10 percent of domestic groundwater resources, but concentrations did not exceed regulatory benchmarks.
Land use, groundwater age (fraction of modern water and mean age), and geochemical environment (oxic or anoxic conditions, pH, alkalinity) were associated with the distribution of high relative concentrations of inorganic and organic constituents. Young, oxygenated water is recharged along the Kern River and adjacent recharge ponds, or as irrigation water in the agricultural areas. High concentrations of nitrate and volatile organic compounds occurred in the oxic water in urban and agricultural areas. The fumigants 1,2,3-TCP, DBCP, and EDB were reported throughout the agricultural areas, whereas chloroform, tetrachloroethene, and PFAS were associated with urban land use. High uranium concentrations were associated with young, modern groundwater in agricultural areas with low pH and high bicarbonate. Total dissolved solids increased with distance from the Kern River, as the contributions of fresh, oxic water decreased. High concentrations of arsenic were present in older anoxic or alkaline groundwater away from areas of recharge. Overall, groundwater age, redox conditions, and the source of recharge as a result of different land uses contribute to large aquifer-scale portions of domestic groundwater resources that exceed health-based benchmarks for nitrate, uranium, and fumigant concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265012","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Harkness, J.S., Faulkner, K.E., and Jurgens, B.C., 2026, Status and understanding of groundwater quality\nin the San Joaquin Valley Kern County subbasin domestic- supply aquifer study unit, 2022—California\nGAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2026–5012, 53 p.,\nhttps://doi.org/10.3133/sir20265012.","productDescription":"Report: x, 53 p.; 3 Data Releases","numberOfPages":"53","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-169250","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504430,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13WQA8P","text":"USGS data release","linkHelpText":"Potential explanatory variables for groundwater quality in the San Joaquin Valley Kern County subbasin domestic well study unit, 2022"},{"id":504428,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GGNIQI","text":"USGS data release","linkHelpText":"Groundwater- quality data in the Kern County Domestic- Supply Aquifer Study Unit, 2022—Results from the California GAMA Priority Basin Project"},{"id":504427,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5012/images"},{"id":504426,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5012/sir20265012.XML","description":"OFR 2026-5012 XML"},{"id":504423,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5012/coverthb.jpg"},{"id":504424,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5012/sir20265012.pdf","text":"Report","size":"37.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-5012 PDF"},{"id":504425,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265012/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-5012 HTML"},{"id":504429,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13ISEGA","text":"USGS data release","linkHelpText":"Data for assessing the susceptibility of groundwater used for domestic- supply, California"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley Kern County subbasin study unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.2,\n 35.8\n ],\n [\n -118.5,\n 35.8\n ],\n [\n -118.5,\n 34.9\n ],\n [\n -120.2,\n 34.9\n ],\n [\n -120.2,\n 35.8\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Acknowledgments
Abstract
Introduction
Hydrogeologic Setting
Methods
Status of Groundwater Quality
Factors that Affect Groundwater Quality
Summary
References Cited
The U.S. Geological Survey, in cooperation with the City of Lee’s Summit, Missouri, assessed flooding of the East Fork Little Blue River and tributaries for varying precipitation magnitudes and durations, varying antecedent runoff conditions, and projected climate-change conditions. The precipitation scenarios were used to develop a library of flood-inundation maps for a 2.95-mile reach of the East Fork Little Blue River and tributaries within the city.
A two-dimensional U.S. Army Corps of Engineers Hydrologic Engineering Center–River Analysis System (HEC–RAS; ver. 6.5) rain-on-grid model was calibrated to selected runoff events representing a range of antecedent runoff conditions and hydrologic responses. Lowest adjacent grades for structures within the nearby study area were incorporated into the terrain, and depth grids and water-surface elevation grids were developed for the study area. Simulated velocities at selected bridge locations were also developed from the model. The model was calibrated using water-surface elevation data collected from water-level loggers (pressure transducers) and streamflow measurements and water-surface elevation measurements made at a reference point during runoff events. The calibrated HEC–RAS model was used to simulate streamflows from design rainfall events of 15-minute to 24-hour durations and ranging from a 100- to 0.1-percent annual exceedance probability (1-year to 1,000-year recurrence intervals). Flood-inundation maps were produced for depths at a reference location of 3 to 16 feet, or a depth exceeding the 0.1-percent annual exceedance probability interval precipitation. The results of each precipitation duration-frequency value were represented by a 1-foot-increment inundation map based on the generated peak streamflow from that rainfall event and the corresponding water-surface elevation at the East Fork Little Blue River reference location.
Within the HEC–RAS model, 240 scenarios were developed from the design rainfall events with each of 3 antecedent conditions. Additional scenarios were created to simulate the effects of projected precipitation scenarios on the 100-year recurrence interval, 24-hour storm and the 100-year recurrence interval, 6-hour storm. All simulation results were assigned to a flood-inundation map condition based on the generated peak flow and corresponding water-surface elevation at the East Fork Little Blue River reference location.
The flood-inundation maps are shown on a web mapping application made available to the public through the City of Lee’s Summit (hyperlink will be added when available). The flood-inundation maps are tied to real-time precipitation data obtained from the Automated Surface Observing System weather station at the Lee’s Summit Municipal Airport, accessible at https://mesonet.agron.iastate.edu/request/download.phtml?network=MO_ASOS. The availability of these maps, along with information regarding observed rainfall, could help provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, and for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265017","collaboration":"Prepared in cooperation with the City of Lee’s Summit, Missouri","usgsCitation":"Atkinson, A.A., 2026, Precipitation-based flood-inundation maps for the East Fork Little Blue River and tributaries at Lee’s Summit, Missouri, 2024: U.S. Geological Survey Scientific Investigations Report 2026–5017, 24 p., https://doi.org/10.3133/sir20265017.","productDescription":"Report: viii; 24 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161724","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":504505,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13NSPHQ","text":"USGS data release","linkHelpText":"Geospatial data and model archives associated with precipitation-driven flood-inundation mapping of the East Fork Little Blue River and associated tributaries at Lee’s Summit, Missouri"},{"id":504504,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5017/images"},{"id":504503,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5017/sir20265017.XML","description":"SIR 2026-5017"},{"id":504502,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265017/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5017"},{"id":504501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5017/sir20265017.pdf","text":"Report","size":"9.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5017 PDF"},{"id":504500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5017/coverthb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"East Fork Little Blue River and Tributaries at Lee’s Summit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.4,\n 38.95\n ],\n [\n -94.3,\n 38.95\n ],\n [\n -94.3,\n 38.9\n ],\n [\n -94.4,\n 38.9\n ],\n [\n -94.4,\n 38.95\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
The U.S. Geological Survey, in cooperation with the City of Lee’s Summit, Missouri, assessed flooding of the East Fork Little Blue River and tributaries for varying precipitation magnitudes and durations, varying antecedent runoff conditions, and projected climate-change conditions. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 2.95-mile reach of the East Fork Little Blue River and tributaries within the city. The availability of these maps, along with information regarding observed rainfall, could help provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, and for postflood recovery efforts.
","publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Atkinson, Allison A. 0009-0001-7572-0729 aatkinson@usgs.gov","orcid":"https://orcid.org/0009-0001-7572-0729","contributorId":330979,"corporation":false,"usgs":true,"family":"Atkinson","given":"Allison","email":"aatkinson@usgs.gov","middleInitial":"A.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961727,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276240,"text":"70276240 - 2026 - Remote sensing enables basin-scale inventories of coal mine methane","interactions":[],"lastModifiedDate":"2026-05-20T14:51:11.392104","indexId":"70276240","displayToPublicDate":"2026-05-19T09:28:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing enables basin-scale inventories of coal mine methane","docAbstract":"Underground coal mines are important global sources of methane, but emission estimates are uncertain. We show that emission estimates for individual mines from aircraft remote-sensing surveys in the United States agree within 40% with direct measurements used for national emission reporting (IPCC Tier 3 estimate). Such direct measurements are unavailable in most countries, which rely on estimated emission factors (EFs) applied to coal-production rates. We find that EFs from IPCC Tier 1 and the Model for Calculating Coal Mine Methane (MC2M) methods overestimate U.S. emissions 3-fold due to incorrect dependence on mine depth. An IPCC Tier 2 method using measured basin-specific mine gas content agrees with direct emission measurements but does not account for gob well emissions and requires gas content data that are generally unavailable. We show that aircraft remote sensing for a small sample of mines can successfully estimate basin-specific EFs for ventilation shafts and gob wells, enabling estimates of basin- and national-scale emissions. We discuss how the method can be applied with satellite remote sensing to quantify coal emissions worldwide.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c14976","usgsCitation":"Penn, E., Jacob, D.J., Bon, D.M., Howell, K., O’Neill, K., Scarpelli, T., Chen, Z., Field, R.A., Karacan, C.O., Roy, E., and Cusworth, D., 2026, Remote sensing enables basin-scale inventories of coal mine methane: Environmental Science and Technology, https://doi.org/10.1021/acs.est.5c14976.","ipdsId":"IP-177546","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":504654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c14976","text":"Publisher Index Page"},{"id":504550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Colorado, Kentucky, New Mexico, Ohio, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111,\n 39.75\n ],\n [\n -107,\n 39.75\n ],\n [\n -107,\n 36\n ],\n [\n -111,\n 36\n ],\n [\n -111,\n 39.75\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.5,\n 40.5\n ],\n [\n -83,\n 40.5\n ],\n [\n -83,\n 37\n ],\n [\n -79.5,\n 37\n ],\n [\n -79.5,\n 40.5\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5,\n 33.75\n ],\n [\n -86.75,\n 33.75\n ],\n [\n -86.75,\n 33\n ],\n [\n -87.5,\n 33\n ],\n [\n -87.5,\n 33.75\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Penn, Elise","contributorId":371414,"corporation":false,"usgs":false,"family":"Penn","given":"Elise","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":961793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacob, Daniel J.","contributorId":371424,"corporation":false,"usgs":false,"family":"Jacob","given":"Daniel","middleInitial":"J.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":961802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bon, Daniel M.","contributorId":371448,"corporation":false,"usgs":false,"family":"Bon","given":"Daniel","middleInitial":"M.","affiliations":[],"preferred":false,"id":961845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howell, Kate","contributorId":371416,"corporation":false,"usgs":false,"family":"Howell","given":"Kate","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Neill, Kelly","contributorId":371418,"corporation":false,"usgs":false,"family":"O’Neill","given":"Kelly","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scarpelli, Tia","contributorId":371419,"corporation":false,"usgs":false,"family":"Scarpelli","given":"Tia","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Zichong","contributorId":371420,"corporation":false,"usgs":false,"family":"Chen","given":"Zichong","affiliations":[{"id":79448,"text":"Hong Kong University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":961798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Robert A.","contributorId":371421,"corporation":false,"usgs":false,"family":"Field","given":"Robert","middleInitial":"A.","affiliations":[{"id":82714,"text":"UNEP, International Methane Emission Observatory","active":true,"usgs":false}],"preferred":false,"id":961799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":961800,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roy, Elfie","contributorId":371423,"corporation":false,"usgs":false,"family":"Roy","given":"Elfie","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":961801,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cusworth, Daniel","contributorId":371415,"corporation":false,"usgs":false,"family":"Cusworth","given":"Daniel","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961794,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70276262,"text":"70276262 - 2026 - Whatever it takes— Shaping the L&O Letters Early Career Publication Honor to deliver true benefit","interactions":[],"lastModifiedDate":"2026-05-21T14:19:22.593452","indexId":"70276262","displayToPublicDate":"2026-05-19T09:14:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Whatever it takes— Shaping the L&O Letters Early Career Publication Honor to deliver true benefit","docAbstract":"There are clear advantages for those who openly share their research. Publishing Open Access (OA) articles can increase author visibility (McCabe and Snyder 2014), improve productivity metrics (i.e., more diverse and higher citation rates; Huang et al. 2024; Piwowar et al. 2018), widen collaborative networks (Tai and Robinson 2018), and help secure future funding and/or comply with funder mandates (Herrmannova et al. 2019; Larivière and Sugimoto 2018; McKiernan et al. 2016 and references therein). These benefits can be vital for students and early career researchers (ECRs) trying to advance and thrive in academia. However, publishing papers in Gold OA journals such as L&O Letters comes at a notable financial cost, as these journals require that the corresponding author (or their organization or funder) pay a fee to make their published article immediately freely available to the public. These article processing charges can be prohibitively expensive (Fontúrbel and Vizentin-Bugoni 2021; Mekonnen et al. 2022; Ross-Hellauer et al. 2022). While Read and Publish agreements and waiver programs may be available to help cover these costs, these programs often exclude independent authors as well as those affiliated with ineligible or non-participating institutions (e.g., publisher waivers using the Research4Life eligibility criteria for access currently only allow authors from one of 13 South American countries/territories to publish free of charge). Besides the financial barrier, authors from underrepresented groups can also face a myriad of other publishing roadblocks, such as linguistic challenges (for speakers of English as a foreign language; Amano et al. 2023; Franco-Santos 2024; Ramírez-Castañeda 2020) and geopolitical-scientific bias (e.g., science conducted in the Global South being seen as less impactful and innovative than that conducted in the Global North; Ghosh 2022; Smits et al. 2025). For context, Global South (GS) and Global North (GN) are not geographic determinations (i.e., South and North hemispheres), but geopolitical classifications regarding a nation's level of development (underdeveloped, developing, or developed). For example: Australia and Brazil are both located in the southern hemisphere, but the former is considered as a Global North (developed) country and the latter as a Global South (underdeveloped or developing) country.
When a subset of researchers is unable to openly publish their work, the diversity of voices represented in OA literature can decline (Williams et al. 2023). Loss of diversity is a loss to science, as diversity increases productivity, innovation, and scientific impact (refer to opening quote; Freeman and Huang 2014; AlShebli et al. 2018; Tomillo et al. 2022). To partially address the above-mentioned challenges and enable underfunded ECRs to publish their work in OA format, the biennial L&O Letters Early Career Publication Honor (ECPH) was established in 2020 by the ASLO Raelyn Cole Editorial (RCE) Fellows (Hotaling et al. 2022). Below we reflect on the benefits, outcomes, and scientific impact of the 2022 call and introduce the articles it helped publish in L&O Letters, which are bundled in this section of the ECPH Virtual Issue. Articles published in L&O Letters during other calls are available in their respective sections. We also refer the reader to six articles published by ECRs in other journals (not included in this Virtual Issue) whose content originally warranted their leading author an ECPH in 2022.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.70137","usgsCitation":"Franco-Santos, R.M., Deemer, B., Falkenberg, L.J., Gradoville, M.R., Hotaling, S., and Peck, E.K., 2026, Whatever it takes— Shaping the L&O Letters Early Career Publication Honor to deliver true benefit: Limnology and Oceanography Letters, v. 11, no. 3, e70137, 6 p., https://doi.org/10.1002/lol2.70137.","productDescription":"e70137, 6 p.","ipdsId":"IP-187671","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.70137","text":"Publisher Index Page"},{"id":504595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Franco-Santos, Rita M.","contributorId":371455,"corporation":false,"usgs":false,"family":"Franco-Santos","given":"Rita","middleInitial":"M.","affiliations":[{"id":88147,"text":"Oceans Institute, University of Western Australia, Crawley, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":961852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":215049,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falkenberg, Laura J.","contributorId":371456,"corporation":false,"usgs":false,"family":"Falkenberg","given":"Laura","middleInitial":"J.","affiliations":[{"id":88149,"text":"School of Physics, Chemistry and Earth Sciences, College of Science, Adelaide University, Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":961854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gradoville, Mary R.","contributorId":371457,"corporation":false,"usgs":false,"family":"Gradoville","given":"Mary","middleInitial":"R.","affiliations":[{"id":88150,"text":"Columbia River Inter-Tribal Fish Commission, Portland, OR, USA","active":true,"usgs":false}],"preferred":false,"id":961855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hotaling, Scott","contributorId":202050,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":961856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peck, Erin K.","contributorId":371458,"corporation":false,"usgs":false,"family":"Peck","given":"Erin","middleInitial":"K.","affiliations":[{"id":88152,"text":"Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, USA","active":true,"usgs":false}],"preferred":false,"id":961857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275744,"text":"ofr20261014 - 2026 - ECCOE Landsat quarterly calibration and validation report—Quarter 4, 2025","interactions":[],"lastModifiedDate":"2026-05-20T17:53:55.781636","indexId":"ofr20261014","displayToPublicDate":"2026-05-18T11:29:58","publicationYear":"2026","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":"2026-1014","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 4, 2025","title":"ECCOE Landsat quarterly calibration and validation report—Quarter 4, 2025","docAbstract":"The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote- sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.
This report provides observed geometric and radiometric analysis results for Landsats 8 and 9 for quarter 4 (October–December) of 2025. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: https://earthexplorer.usgs.gov.
One specific activity that the ECCOE Landsat Cal/Val Team closely monitored was a Landsat 9 safehold anomaly. On October 17, 2025, Landsat 9 experienced a Solar Array Drive Assembly potentiometer fault. The onboard fault response put both the Operational Land Imager sensor and the Thermal Infrared Sensor into safe mode. Additionally, the Thermal Infrared Sensor focal plane assembly was turned off, but the cryocooler remained on. On October 20, 2025, the Solar Array Drive Assembly recovery commanding was successfully performed to put the spacecraft into nadir viewing mode. The following day, Operational Land Imager activation and recovery started, including focal plane assembly warmup. After reaching nominal operational temperatures and achieving thermal stability, science imaging resumed on October 23, 2025. Additional information about the Landsat 9 safehold anomaly is here: https://www.usgs.gov/landsat-missions/news/landsat-9-returns-normal-operations-following-brief-safehold.
Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation Center of Excellence Team assesses and calibrates Landsat remote-sensing data to ensure that high-quality data products are publicly available. These data products are used to make informed decisions about natural resources and the environment. This report is part of a series of quarterly reports intended to provide updated observed geometric and radiometric analysis results for Landsats 8 and 9.
","publicationDate":"2026-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Md Obaidul 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":290335,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":961594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":961595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shrestha, Ashish 0000-0002-9407-5462","orcid":"https://orcid.org/0000-0002-9407-5462","contributorId":298063,"corporation":false,"usgs":false,"family":"Shrestha","given":"Ashish","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":961596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":961597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":961598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steinwand, Daniel 0009-0008-6588-9775","orcid":"https://orcid.org/0009-0008-6588-9775","contributorId":357557,"corporation":false,"usgs":false,"family":"Steinwand","given":"Daniel","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":961599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bresnahan, Paul 0000-0002-3491-0956","orcid":"https://orcid.org/0000-0002-3491-0956","contributorId":306120,"corporation":false,"usgs":false,"family":"Bresnahan","given":"Paul","affiliations":[{"id":27608,"text":"Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":961600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shaw, Jerad L. 0000-0002-8319-2778","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":270396,"corporation":false,"usgs":false,"family":"Shaw","given":"Jerad L.","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":961601,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruslander, Kathryn 0000-0003-3036-1731","orcid":"https://orcid.org/0000-0003-3036-1731","contributorId":330181,"corporation":false,"usgs":false,"family":"Ruslander","given":"Kathryn","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":961602,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":961603,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":268248,"corporation":false,"usgs":true,"family":"Choate","given":"Michael J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":961604,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Cody 0000-0001-5612-1889 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Center","active":true,"usgs":false}],"preferred":false,"id":961607,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Angal, Amit","contributorId":360771,"corporation":false,"usgs":false,"family":"Angal","given":"Amit","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":961608,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":961609,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":961610,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Teixeira Pinto, Cibele","contributorId":357558,"corporation":false,"usgs":false,"family":"Teixeira Pinto","given":"Cibele","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":961611,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70275746,"text":"ofr20211030W - 2026 - System characterization report on Tanager","interactions":[{"subject":{"id":70275746,"text":"ofr20211030W - 2026 - System characterization report on Tanager","indexId":"ofr20211030W","publicationYear":"2026","noYear":false,"chapter":"W","displayTitle":"System Characterization Report on Tanager","title":"System characterization report on Tanager"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2026-05-19T13:34:15.311373","indexId":"ofr20211030W","displayToPublicDate":"2026-05-18T11:04:45","publicationYear":"2026","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":"2021-1030","chapter":"W","displayTitle":"System Characterization Report on Tanager","title":"System characterization report on Tanager","docAbstract":"This report addresses the system characterization of the Tanager satellite hyperspectral sensor created by Planet Labs PBC. and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the Tanager hyperspectral sensor; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
This report summarizes the sensor performance of the Tanager based on the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence system characterization process. In summary, we determined that the Tanager exhibits a band-to-band geometric error ranging from -0.074 to 0.097 pixels. Compared to the Landsat Operational Land Imager, geometric offsets ranged from -5.980 meters (-0.20 pixels) to 11.348 meters (0.40 pixels). Radiometric comparisons showed offsets between -0.004 and 0.056 with slopes from 0.830 to 1.066. Spectral shifts are found between 0.65 and 0.75 nanometers. Finally, spatial performance evaluation yielded a PSF full width at half maximum of 1.27 to 1.75 pixels, a relative edge response of 0.802 to 0.651, and a modulation transfer function at Nyquist of 0.488 to 0.253.
Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Oil spills are well-known for causing acute mortality of birds, but sublethal and delayed impacts are less understood. Focusing on the mallard (Anas platyrhynchos), we used simulation modeling to explore how sublethal oiling may affect avian survival and breeding ground body condition. We used empirically informed migration and energetics simulations to model hypothetical spills occurring in northern Arkansas, USA occurring in either January to simulate thermoregulatory stress or March to simulate pre-migration effects. We modeled trace and lightly oiled female mallards (≤5% or 6 to 20% of feather area oiled, respectively), incorporating oiling-induced energetic effects on thermoregulation, flight, and energetic gain. We found that mortality was generally higher for simulated spills occurring in January versus March. In the simulations, mallards lost body mass due to oiling, but surviving individuals could partially recover body mass before arriving at the breeding grounds. Including oiling-induced energetic gain effects in simulations increased mortality as well as increased overall variability of simulation results. This modeling effort identified an important gap in knowledge regarding oiled bird energetics, specifically a need to better quantify oiling-induced energetic gain changes. Although the model is currently limited to a specific species and geographic area, it serves as a proof-of-concept for future research and modeling efforts aimed at understanding more broadly the impacts of oil spills on avian populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2026.111616","usgsCitation":"West, B.M., Wildhaber, M.L., Thogmartin, W.E., and Hooper, M.J., 2026, Bird migration and energetics simulations incorporating oil spill effects: Ecological Modelling, v. 519, 111616, 37 p., https://doi.org/10.1016/j.ecolmodel.2026.111616.","productDescription":"111616, 37 p.","ipdsId":"IP-180363","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2026.111616","text":"Publisher Index Page"},{"id":504553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Prairie Pothole region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.86261355030844,\n 55.10357739657181\n ],\n [\n -89.15962207917798,\n 55.10357739657181\n ],\n [\n -89.15962207917798,\n 34.95822740848739\n ],\n [\n -106.86261355030844,\n 34.95822740848739\n ],\n [\n -106.86261355030844,\n 55.10357739657181\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"519","noUsgsAuthors":false,"publicationDate":"2026-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"West, Benjamin M 0000-0001-8355-0013","orcid":"https://orcid.org/0000-0001-8355-0013","contributorId":298588,"corporation":false,"usgs":true,"family":"West","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":961803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":961804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":961805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hooper, Michael J.","contributorId":371425,"corporation":false,"usgs":false,"family":"Hooper","given":"Michael","middleInitial":"J.","affiliations":[{"id":88140,"text":"(retired) Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":961806,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275772,"text":"70275772 - 2026 - Simulating past and future refugia for temperate trees in northern Italy","interactions":[],"lastModifiedDate":"2026-05-20T13:25:16.504458","indexId":"70275772","displayToPublicDate":"2026-05-17T09:07:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Simulating past and future refugia for temperate trees in northern Italy","docAbstract":"During the Quaternary, trees responded to the climatic changes of glacial–interglacial cycles with large-scale range shifts. Over cold glacials, temperate tree species contracted their ranges and survived in areas known as refugia. Several studies point to the Euganean Hills (Colli Euganei), in Veneto, northern Italy, as one of the northernmost European refugia of temperate tree species during the Last Glacial Maximum (LGM, ca 23 000–19 000 calibrated years BP). Using LandClim, a spatially explicit, dynamic forest landscape model, we demonstrate that climate conditions during the LGM likely allowed temperate tree species to persist in the Euganean Hills. The identified refugial locations lie at intermediate to high elevations and in sheltered valleys within the hilly complex. Therefore, the combined palaeoecological and modelling evidence suggests that today's temperate forests of the Euganean Hills have a full glacial legacy.
Simulations under future climate conditions suggest a collapse of the sub-mediterranean and oro-mediterranean deciduous forests that are prevalent today and the expansion of thermo-mediterranean evergreen forests (with e.g. Quercus ilex, Q. suber, Olea europaea and Pinus sp.). Specifically, the extrazonal population of oro-mediterranean Fagus sylvatica, which is unique to the Po Plain and likely persisted locally through several glacial–interglacial cycles, is predicted to sharply decline and face local extinction, underscoring a conservation hazard.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/ecog.08367","usgsCitation":"Pistone, A., Henne, P., Boltshauser-Kaltenrieder, P., Tinner, W., and Schworer, C., 2026, Simulating past and future refugia for temperate trees in northern Italy: Ecography, https://doi.org/10.1002/ecog.08367.","ipdsId":"IP-183022","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504651,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecog.08367","text":"Publisher Index Page"},{"id":504524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 8.8266148,\n 44.5731361\n ],\n [\n 12.3078331,\n 45.3691838\n ],\n [\n 13.520985,\n 45.7875902\n ],\n [\n 13.4330754,\n 46.5425429\n ],\n [\n 12.0265226,\n 46.8921108\n ],\n [\n 10.356241,\n 46.735688\n ],\n [\n 10.0573485,\n 46.2879934\n ],\n [\n 9.4068178,\n 46.3001417\n ],\n [\n 8.9145243,\n 45.9345188\n ],\n [\n 8.0881745,\n 45.9834087\n ],\n [\n 7.0684237,\n 45.6402734\n ],\n [\n 6.998096,\n 44.8604876\n ],\n [\n 7.7189544,\n 44.145742\n ],\n [\n 8.8266148,\n 44.5731361\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Pistone, Azzurra 0009-0004-9848-6121","orcid":"https://orcid.org/0009-0004-9848-6121","contributorId":371376,"corporation":false,"usgs":false,"family":"Pistone","given":"Azzurra","affiliations":[{"id":38843,"text":"University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":961739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henne, Paul 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":222618,"corporation":false,"usgs":true,"family":"Henne","given":"Paul","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boltshauser-Kaltenrieder, Petra","contributorId":210164,"corporation":false,"usgs":false,"family":"Boltshauser-Kaltenrieder","given":"Petra","email":"","affiliations":[{"id":34056,"text":"Institute of Plant Sciences, University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":961741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinner, Willy 0000-0001-7352-0144","orcid":"https://orcid.org/0000-0001-7352-0144","contributorId":169167,"corporation":false,"usgs":false,"family":"Tinner","given":"Willy","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":961742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schworer, Christoph 0000-0002-8884-8852","orcid":"https://orcid.org/0000-0002-8884-8852","contributorId":210163,"corporation":false,"usgs":false,"family":"Schworer","given":"Christoph","email":"","affiliations":[{"id":34056,"text":"Institute of Plant Sciences, University of Bern, Switzerland","active":true,"usgs":false}],"preferred":true,"id":961743,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275737,"text":"ofr20261016 - 2026 - Distribution, abundance, breeding activities, and restoration efforts for the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report","interactions":[],"lastModifiedDate":"2026-05-18T14:01:33.082377","indexId":"ofr20261016","displayToPublicDate":"2026-05-15T12:38:15","publicationYear":"2026","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":"2026-1016","displayTitle":"Distribution, Abundance, Breeding Activities, and Restoration Efforts for the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report","title":"Distribution, abundance, breeding activities, and restoration efforts for the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report","docAbstract":"The purpose of this report is to provide the Marine Corps with an annual summary of the distribution, abundance, and breeding activity of the endangered Southwestern Willow Flycatcher (Empidonax traillii extimus; flycatcher) and to present results of management actions implemented to attract flycatchers and enhance flycatcher habitat at Marine Corps Base Camp Pendleton (MCBCP, or Base). Surveys for the flycatcher were done on Base between May 6 and July 23, 2025. All MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2025. None of the non-core survey areas were surveyed in 2025.
No resident flycatchers were detected on Base in 2025. The one resident (female) present in 2024 did not return to the territory she occupied in 2024, and she was not detected within the historically occupied habitat surveyed in 2025.
Eight transient Willow Flycatchers of unknown subspecies were observed on two of the five drainages surveyed in 2025: Las Flores Creek and the Santa Margarita River. No Willow Flycatchers were detected at Fallbrook, Pilgrim, or San Mateo Creeks. Transients in 2025 occurred in mixed willow and riparian scrub habitats, dominated by multiple willow species (Salix spp.). Exotic vegetation was recorded in most flycatcher locations and was dominant (cover of exotics greater than 50 percent) in more than half of all transient locations. The most common exotic plant in habitat used by flycatchers was poison hemlock (Conium maculatum). All six of the flycatchers that were observed closely enough to determine banding status were unbanded.
Two measures were initiated in recent years to attract and retain resident breeding flycatchers on MCBCP: conspecific attraction using flycatcher song broadcasts and installation of artificial seeps to enhance flycatcher habitat. We surveyed plots with and without speakers that broadcast flycatcher vocalizations throughout the breeding season and detected two transient Willow Flycatchers within 20 meters of one speaker in 2025. We set up permanent vegetation sampling points surrounding artificial seeps and nearby sites without artificial seeps (Reference sites) to determine the effects of surface-water enhancement by seep pumps. Vegetation cover was highest near the ground and decreased with increasing height. Woody vegetation made up most of the cover at all height categories. Soil saturation in 2025 was higher at the sites near seeps than at the Reference sites and was associated with higher native herbaceous cover and lower non-native cover.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261016","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., Howell, S.L., and Kus, B.E., 2026, Distribution, abundance, breeding activities, and restoration efforts\nfor the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2025 Annual Report:\nU.S. Geological Survey Open-File Report 2026–1016, 37 p., https://doi.org/10.3133/ofr20261016.","productDescription":"vii, 37 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184792","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504337,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1016/coverthb.jpg"},{"id":504338,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1016/ofr20261016.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1016 PDF"},{"id":504339,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261016/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1016 HTML"},{"id":504341,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1016/images"},{"id":504340,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1016/ofr20261016.XML","description":"OFR 2026-1016 XML"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Baase Camp Pendleton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.6,\n 33.5\n ],\n [\n -117.25,\n 33.5\n ],\n [\n -117.25,\n 33.2\n ],\n [\n -117.6,\n 33.2\n ],\n [\n -117.6,\n 33.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
The U.S. Army Corps of Engineers, Jacksonville District, deepened the St. Johns River channel in Jacksonville, Florida, to accommodate larger, fully loaded cargo vessels. The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, monitored stage, discharge, and (or) water temperature and salinity at 26 continuous data collection sites in the St. Johns River and its tributaries.
This report contains information collected during the 2023 water year, from October 2022 to September 2023. Data at each site were compared for the length of the project, 8 years so far, and on a yearly basis to show the annual variability of discharge and salinity.
The countywide annual rainfall for the 2023 water year was below the average yearly rainfall in four of the five counties. Annual mean discharge at 9 of the 10 tributary monitoring sites was lower for the 2023 water year than for the 2022 water year, and the annual mean flow at Broward River below Biscayne Boulevard near Jacksonville, Florida (USGS site number 02246751), was the lowest recorded at that site for the 8 years of data collection. The annual mean discharge for each of the main-stem sites was higher for the 2023 water year than for the 2022 water year and was above the average for the 8 years of data collected so far.
Among the tributary sites, annual mean salinity was highest at Clapboard Creek above Buckhorn Bluff near Jacksonville, Fla. (USGS site number 302657081312400), the site closest to the Atlantic Ocean, and was lowest at Durbin Creek near Fruit Cove, Fla. (USGS site number 022462002), the site farthest from the ocean, for all years. Annual mean salinity data from the main-stem sites indicate that salinity decreased with distance upstream from the ocean, which was expected. Annual mean salinity for the 2023 water year was higher than or equal to that of the 2022 water year for all main-stem and tributary sites, except at St. Johns River at Dancy Point near Spuds, Fla. (USGS site number 294213081345300), which was lower. Three main-stem monitoring stations (USGS site numbers 295856081372301, 02245340, and 301057081414800) and six tributary monitoring stations (USGS site numbers 300803081354500, 022462002, 301204081434900, 02246459, 02246518, and 02246804) either had the highest annual mean salinities or tied with the highest annual mean salinities at their respective sites since data collection began.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261012","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Carson, J.N., and Benacquisto, M.T., 2026, Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2023: U.S. Geological Survey Open-File Report 2026–1012, 52 p., https://doi.org/10.3133/ofr20261012.","productDescription":"Report: x, 52 p.; Data Release","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177133","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":504434,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119415.htm","linkFileType":{"id":5,"text":"html"}},{"id":504331,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1012/coverthb.jpg"},{"id":504332,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1012/images"},{"id":504333,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1012/ofr20261012.pdf","size":"3.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1012"},{"id":504334,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1012/ofr20261012.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1012 XML"},{"id":504335,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261012/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1012 HTML"},{"id":504336,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation"}],"country":"United States","state":"Florida","otherGeospatial":"Lower St. Johns River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82,\n 30.5\n ],\n [\n -81,\n 30.5\n ],\n [\n -81,\n 29.25\n ],\n [\n -82,\n 29.25\n ],\n [\n -82,\n 30.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Resolving thermal histories in sedimentary basins is crucial for interpreting orogenic growth, basin burial, and tectonic processes during Cordilleran orogenesis. In the Magallanes–Austral Basin, Patagonian Andes, we integrate new (U-Th)/He thermochronology, vitrinite reflectance (%Ro), calcite-cement clumped isotope data and thermal history modelling to resolve the origin of the regionally extensive Paleogene unconformity (51°S–50°S). Thermal history modelling results require post-depositional heating of Palaeocene (Danian–Selandian) strata below the unconformity and suggest maximum burial temperatures of 87°C–101°C (55–52 Ma) and 89°C–92°C (18–16 Ma). For lower Eocene strata above the unconformity, Miocene burial temperatures (89°C–92°C) are consistent with calcite cement formation temperatures (~62°C–92°C) from carbonate clumped isotopes. Our results indicate that basin burial and heating between ca. 60 and 52 Ma were likely driven by shallowing of the subducting Farallon plate and enhanced plate coupling preceding arrival of the Farallon–Phoenix mid-ocean ridge. Subsequent basin inversion and cooling from ca. 52 to 44 Ma correspond with subduction of this mid-ocean ridge. Refined thermal models, constrained by expanded thermochronometric and organic maturation datasets, indicate that up to ~1.7–2.0 km of proximal foreland basin strata were removed during uplift and erosion across the Paleogene basin margin. A return to basin subsidence beginning ca. 44 Ma may reflect dynamic subsidence after passage of the mid-ocean ridge and renewed coupling between the fold-thrust belt and foreland basin system. Neogene thermal histories document continued subsidence, localized hot orogenic fluid flow along stratigraphic boundaries, followed by a final phase of basin inversion and cooling at ca. 18–16 Ma, which we attribute to regional uplift associated with Chile ridge subduction. Altogether, this study demonstrates that multiple thermal indices when analysed and modelled can provide clarity for tectonic and stratigraphic events that affect foreland basins.
","language":"English","publisher":"Wiley","doi":"10.1111/bre.70111","usgsCitation":"VanderLeest, R.A., Fosdick, J.C., Schwartz, T.M., Hyland, E., and Mastalerz, M., 2026, Multi-proxy thermal history of basin heating during Cordilleran orogenesis in the Magallanes-Austral retroarc foreland basin, Patagonian Andes: Basin Research, v. 38, no. 3, e70111, 29 p., https://doi.org/10.1111/bre.70111.","productDescription":"e70111, 29 p.","ipdsId":"IP-179074","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Chile","otherGeospatial":"Patagonian Andes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76,\n -44\n ],\n [\n -60,\n -44\n ],\n [\n -60,\n -56\n ],\n [\n -76,\n -56\n ],\n [\n -76,\n -44\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"VanderLeest, Rebecca A.","contributorId":371494,"corporation":false,"usgs":false,"family":"VanderLeest","given":"Rebecca","middleInitial":"A.","affiliations":[{"id":88162,"text":"CSU Fort Collins","active":true,"usgs":false}],"preferred":false,"id":961902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosdick, Julie C.","contributorId":371495,"corporation":false,"usgs":false,"family":"Fosdick","given":"Julie","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":961903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Theresa Maude 0000-0001-6606-4072","orcid":"https://orcid.org/0000-0001-6606-4072","contributorId":245180,"corporation":false,"usgs":true,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"Maude","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyland, E.G.","contributorId":371496,"corporation":false,"usgs":false,"family":"Hyland","given":"E.G.","affiliations":[],"preferred":false,"id":961905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mastalerz, M.","contributorId":217905,"corporation":false,"usgs":false,"family":"Mastalerz","given":"M.","affiliations":[{"id":33640,"text":"Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":961906,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}