Lineament Analysis of Mineral Areas of Interest in Afghanistan: Manually Delineated Lineaments

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Frequently anticipated questions:


What does this data set describe?

Title:
Lineament Analysis of Mineral Areas of Interest in Afghanistan: Manually Delineated Lineaments
Abstract:
This digital dataset presents lineaments for selected mineral areas of interest (Peters and others, 2007) in Afghanistan. For this dataset, lineaments were to be defined as photolinear features that are possibly the result of underlying zones of high-angle bedrock fractures, fracture zones, faults, or bedding plane weaknesses. Mapped lineaments were derived from 30-meter (m) resolution, shaded relief, digital elevation models (DEM), illuminated from four angles, and from 14.25-m resolution natural coverage mosaic images for the entire country of Afghanistan. Visual interpretation of optical remote-sensing data can be subjective; however, criteria and procedures were followed to promote objective lineament rendering. The visual lineament surface expression can be caused by highlights and shadows, due to localized topographic relief, or by surface differences caused by natural vegetation growth or related soil tonal differences.
Supplemental_Information:
The following references provided background information for the study and its methodology:
Clark, S.F., Jr., Moore, R.B., Ferguson, E.W., and Picard, M.Z., 1996, Criteria and methods for fracture-trace analysis of the New Hampshire bedrock aquifer: U.S. Geological Survey Open-File Report 96-479, 12 p.
Davis, P.A., 2006, Calibrated Landsat ETM+ Mosaics of Afghanistan: U.S. Geological Survey Open-File Report 2006-1345, 18 p. Accessed at: <http://pubs.usgs.gov/of/2006/1345/>.
Doebrich, J.L., and Wahl, R.L., 2006, Geologic and mineral resource map of Afghanistan: U.S. Geological Survey Open-File Report 2006-1038, scale 1:850,000, 1 sheet.
Lattman, L.H., and Parizek, R.R., 1964, Relationship between fracture traces and the occurrence of ground water in carbonate rocks: Journal of Hydrology, v. 2, p. 73-91.
Mabee, S.B., Hardcastle, K.C., and Wise, D.U., 1994, A method of collecting and analyzing lineaments for regional-scale fractured- bedrock aquifer studies: Groundwater, v. 32, no. 6, p. 884-894.
Moore, R.B., Schwarz, G.E., Clark, S.F., Jr., Walsh, G.J., and Degnan, J.R., 2002, Factors related to well yield in the fractured- bedrock aquifer of New Hampshire: U.S. Geological Survey Professional Paper 1660, 2 pls., 51 p.
Peters, S.G., Ludington, S.D., Orris, G.J., Sutphin, D.M., Bliss, J. D., and Rytuba, J.J., 2007, Preliminary non-fuel mineral assessment of Afghanistan: U.S. Geological Survey Open-File Report 2007-1214, p. 810.
Siddiqui, S.H., and Parizek, R.R., 1971, Hydrogeologic factors influencing well yields in folded and faulted carbonate rocks in central Pennsylvania: Water Resources Research, v. 7, no. 5, p. 1,295-1,312.
  1. How should this data set be cited?

    Hubbard, Bernard, Mack, Thomas J., and Thompson, Allyson, 2012, Lineament Analysis of Mineral Areas of Interest in Afghanistan: Manually Delineated Lineaments: U.S. Geological Survey Open-File Report 2012-1048, U.S. Geological Survey, Reston, VA.

    This is part of the following larger work.

    Hubbard, Bernard, Mack, Thomas J., and Thompson, Allyson, 2012, Lineament Analysis of Mineral Areas of Interest in Afghanistan: Open-File Report 2012-1048, U.S. Geological Survey, Reston, VA.

    Online Links:

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: 60.829686
    East_Bounding_Coordinate: 71.481522
    North_Bounding_Coordinate: 37.846190
    South_Bounding_Coordinate: 29.380327

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Beginning_Date: 16-Aug-1999
    Ending_Date: 05-Oct-2001
    Currentness_Reference: ground condition

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: vector digital data

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Vector data set. It contains the following vector data types (SDTS terminology):

      • String (11701)

    2. What coordinate system is used to represent geographic features?

      The map projection used is Transverse Mercator.

      Projection parameters:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: 66.000000
      Latitude_of_Projection_Origin: 34.000000
      False_Easting: 0.000000
      False_Northing: 0.000000

      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 30
      Ordinates (y-coordinates) are specified to the nearest 30
      Planar coordinates are specified in meters

      The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257224.

  7. How does the data set describe geographic features?

    Entity_and_Attribute_Overview:
    This line-vector coverage has no important attributes other than the spatial position and intersection of lineaments for targeted groundwater-resource potential assessment.
    Entity_and_Attribute_Detail_Citation:
    Further notes on the procedure may be obtained at <http://pubs.usgs.gov/of/2012/1048/>


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

  3. To whom should users address questions about the data?

    U.S. Geological Survey
    Attn: Thomas J. Mack
    Research Hydrologist
    U.S. Geological Survey
    331 Commerce Way
    Pembroke, NH 03275
    USA

    (603) 226-7805 (voice)
    (603) 226-7894 (FAX)
    tjmack@usgs.gov


Why was the data set created?

Water wells in bedrock aquifers are generally more productive where boreholes intersect fractures, or fracture zones, or are located in areas of more highly fractured bedrock. Lineament identification and analysis have long been used as a reconnaissance tool in identifying favorable groundwater resources in carbonate bedrock environments (Lattman and Parizek, 1964; Siddiqui and Parizek, 1971). More recently, lineament analysis has been used for identifying areas of greater well yields in other bedrock settings including crystalline bedrock (Mabee and other, 1994; Moore and others, 2002). Lineaments provide an indication of areas that warrant further investigation for optimal bedrock well placement. Lineaments may also indicate areas of preferential flow and storage of groundwater, and areas with a greater density of lineaments may indicate greater secondary porosity. The purpose of this coverage is to map lineaments that may be useful for locating potential groundwater resources in 24 selected areas of mineral interest in Afghanistan (Peters and others, 2007). Mapped lineaments range in length from greater than 0.6 kilometers (km) to less than 14 km, with features less than 0.1 km excluded from the trend analysis included in the accompanying report. Only portions of the country within and slightly near 24 mineralized areas of interest (AOIs) highlighted by Peters and others (2007; 2011) were mapped, with areas ranging from 478 to 9,750 square kilometers. These data were compiled for inclusion in "Bidding Packages" developed for the Task Force for Business and Stability Operations (TFBSO) of the Department of Defense in an interagency agreement with the U.S. Geological Survey of the Department of the Interior. They can be used by potential investors, along with other information, in assessing mineral and hydrologic resources at AOIs identified by the TFBSO and the Government of Afghanistan, Afghanistan Geological Survey of the Afghanistan Ministry of Mines.


How was the data set created?

  1. From what previous works were the data drawn?

    Davis, 2006 (source 1 of 1)
    Davis, Philip A., 2006, Calibrated Landsat ETM+ Nonthermal-Band Image Mosaics of Afghanistan: U.S. Geological Survey Open-File Report 2006-1345, U.S. Geological Survey, Reston, VA.

    Online Links:

    Type_of_Source_Media: Digital imagery
    Source_Contribution:
    The following Natural-Color Landsat Image Mosaic of Afghanistan Map Series 14.25-m images (Davis, 2006) were used:
    Q2962_14m_UTM_NC
    Q2964_14m_UTM_NC
    Q3062_14m_UTM_NC
    Q3064_14m_UTM_NC
    Q3162_14m_UTM_NC
    Q3164_14m_UTM_NC
    Q3262_14m_UTM_NC
    Q3264_14m_UTM_NC
    Q3266_14m_UTM_NC
    Q3268_14m_UTM_NC
    Q3360_14m_UTM_NC
    Q3362_14m_UTM_NC
    Q3364_14m_UTM_NC
    Q3366_14m_UTM_NC
    Q3368_14m_UTM_NC
    Q3460_14m_UTM_NC
    Q3462_14m_UTM_NC
    Q3464_14m_UTM_NC
    Q3466_14m_UTM_NC
    Q3468_14m_UTM_NC
    Q3470_14m_UTM_NC
    Q3560_14m_UTM_NC
    Q3564_14m_UTM_NC
    Q3564_14m_UTM_NC
    Q3568_14m_UTM_NC
    Q3570_14m_UTM_NC
    Q3664_14m_UTM_NC
    Q3666_14m_UTM_NC
    Q3668_14m_UTM_NC
    Q3670_14m_UTM_NC
    Q3764_14m_UTM_NC
    Q3770_14m_UTM_NC
    

  2. How were the data generated, processed, and modified?

    Date: 2011 (process 1 of 1)
    Lineaments were mapped using one observer, drawn at a map scale of 1:100,000, and two data platforms: 30-m DEM data (Philip Davis, USGS, written commun., 2009) and 14.25-m natural-color Landsat mosaics (Davis, 2006). Shaded relief images were generated from the 30-m DEM using an illumination at azimuth angles of 180, 225, 270, and 315° with a solar elevation of 45°, for use in identifying lineaments. Linear features were drawn at each azimuth angle and then further identified using natural color mosaic images. Features identified at multiple azimuth angles or platforms were only drawn once. In many instances features identified in one azimuth angle, or platform, were not be apparent in another angle or platform. Similarly, features identified using natural color mosaics, particularly linear vegetation patterns, may not be apparent using the DEM data.

    Person who carried out this activity:

    U.S. Geological Survey
    Attn: Thomas J. Mack
    Research Hydrologist
    U.S. Geological Survey
    331 Commerce Way
    Pembroke, NH 03275
    USA

    (603) 226-7805 (voice)
    (603) 226-7894 (FAX)
    tjmack@usgs.gov

  3. What similar or related data should the user be aware of?

    Edited by Peters, Stephen G., Ludington, Stephen D., Orris, Greta J., Sutphin, David M., Bliss, James D., and Rytuba, James J., 2007, Preliminary Non-Fuel Mineral Resource Assessment of Afghanistan 2007: Open-File Report 2007-1214, U.S. Geological Survey, Reston, Virginia.

    Online Links:

    Other_Citation_Details:
    Shapefile boundaries of 24 mineralized areas of interest (AOI), revised 2011


How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

    The mapped lineaments have no important attributes other than their geospatial position and intersections to help identify potential groundwater resources.

  2. How accurate are the geographic locations?

    Horizontal accuracy is based on the Digital Elevation Model (DEM) data and Landsat images from which the lineament maps were derived. No attempt was made to compare horizontal map accuracy with those of published maps and (or) orthorectified base imagery from other sources.

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

    Lineaments presented here were observed only within the mineral areas of interest defined by a previous study; their extent within Afghanistan outside these areas of interest was not determined as part of this study.

  5. How consistent are the relationships among the observations, including topology?

    Efforts were made to apply lineament criteria in a uniform manner during examination of the areas of interest to improve identification objectivity. Field reconnaissance trips by Thomas Mack (U.S. Geological Survey) in 2009 and 2010 provided additional familiarity with lineaments in various terrains, in several mineral areas of interest in Afghanistan. However, visual lineament identification is inherently subjective, particularly with respect to one observer, and in some locations it is possible that cultural features, such as irrigation canals and roads, topographic ridges, or other nonfracture-related features, may be mistaken for lineaments. As such, lineaments require comparison with other data, and field investigation, to confirm their nature and relation to water-filled bedrock fracture zones.


How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: none
Use_Constraints: none

  1. Who distributes the data set? (Distributor 1 of 1)

    USGS Information Services
    Box 25286, Denver Federal Center
    Denver, Colorado 80255-0046
    USA

    1-888-ASK-USGS (voice)
    1-303-202-4695 (FAX)
    infoservices@usgs.gov

  2. What's the catalog number I need to order this data set?

    USGS Open-File Report 2012-1048

  3. What legal disclaimers am I supposed to read?

    This report is preliminary and has not been reviewed for conformity with U.S. Geological Survey editorial standards (or with the North American Stratigraphic Code). Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 19-Sep-2011
Metadata author:
U.S. Geological Survey
Attn: Thomas J. Mack
Research Hydrologist
U.S. Geological Survey
331 Commerce Way
Pembroke, NH 03275
USA

(603) 226-7805 (voice)
(603) 226-7894 (FAX)
tjmack@usgs.gov

Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)


Generated by mp version 2.9.14 on Fri Apr 27 12:41:47 2012