Map of Mineral Groups and Green Vegetation Derived From Automated Analysis of Landsat 7 Enhanced Thematic Mapper Plus Satellite Data: San Juan Mountains, Colorado and Four Corners Region

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Frequently anticipated questions:


What does this data set describe?

Title:
Map of Mineral Groups and Green Vegetation Derived From Automated Analysis of Landsat 7 Enhanced Thematic Mapper Plus Satellite Data: San Juan Mountains, Colorado and Four Corners Region
Abstract:
Multispectral remote sensing data acquired by the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor were analyzed using a new, automated technique to generate a map of exposed mineral groups, and dense, green vegetation in the San Juan Mountains, Colorado, and the Four Corners region. Band ratio results were combined into displayed mineral and vegetation groups using Boolean algebra. The automated analysis methodology is being employed to generate similar maps of the United States and its territories in support of national-scale USGS mineral resource and mineral-environmental assessments. This map, in ERDAS IMAGINE (.img) format, has been attributed by pixel value with material identification data that can be queried in most image processing and GIS software packages.
  1. How might this data set be cited?
    Rockwell, Barnaby W., 2013, Map of Mineral Groups and Green Vegetation Derived From Automated Analysis of Landsat 7 Enhanced Thematic Mapper Plus Satellite Data: San Juan Mountains, Colorado and Four Corners Region: Scientific Investigations Map 3252, U.S. Geological Survey, Denver, CO.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -109.591151
    East_Bounding_Coordinate: -106.887568
    North_Bounding_Coordinate: 38.452531
    South_Bounding_Coordinate: 36.495436
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 12-Sep-2000
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: remote-sensing image
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Raster data set. It contains the following raster data types:
      • Dimensions 7021 x 7771 x 1, type Pixel
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 12
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -111.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000
      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 30.000000
      Ordinates (y-coordinates) are specified to the nearest 30.000000
      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?
    le70350342000256pac01.tar_msi_aa11_merge.img.vat
    ERDAS IMAGINE file attributes (Source: ERDAS)
    ObjectID
    Internal feature number. (Source: ESRI) Sequential unique whole numbers that are automatically generated.
    Value
    Internal digital number (Source: Author)
    Range of values
    Minimum:0
    Maximum:11
    Red
    Red value of color table (Source: Author)
    Range of values
    Minimum:0
    Maximum:1
    Green
    Green value of color table (Source: Author)
    Range of values
    Minimum:0
    Maximum:1
    Blue
    Blue value of color table (Source: Author)
    Range of values
    Minimum:0
    Maximum:1
    Count
    Value frequency count (Source: Author)
    Range of values
    Minimum:0
    Maximum:40339391
    Materialid
    Modeled material type (Source: Author) Modeled mineral or vegetation group
    Entity_and_Attribute_Overview:
    Results of merging of of mineral groups identified through automated analysis of Landsat multispectral data. The digital number (DN) values in this image have been attributed by modeled mineral or vegetation group as shown in the following table. Each DN value corresponds to a particular color in the included color table. All pixels identified as a particular alteration type or mineral group have been assigned a single, discrete color.

    Value	Red	Green	Blue	Count	Opacity	Materialid
    0	0	0	0	40339391	0
    1	0.82	0.71	0.55	28159		1	minor ferric iron (high redness)
    3	1	0.46	1	2567266	1	major ferric iron
    4	0.15	0.45	0.57	311125	1	ferrous or coarse-grained ferric iron (may include oxidized basalts, fire ash, some moist soils, and any blue/green rocks
    5	0.627451	0.12549	0.941176	5546	1	ferric +/- ferrous iron
    6	0	1	0	210043		1	clay, sulfate, mica, and/or marble
    7	1	1	0	935		1	clay, sulfate, mica, and/or marble + minor ferric iron
    8	1	0.65	0	312030	1	clay, sulfate, mica, and/or marble + moderate to major ferric iron
    9	1	0	0	93626		1	clay, sulfate, mica, and/or marble + major ferric iron
    10	0	1	1	726		1	clay, sulfate, mica, and/or marble + ferrous or coarse-grained ferric iron
    11	0	0.39	0	10691344	1	dense, green vegetation
    
    Original image name: le70350342000256pac01.tar_msi_aa11_merge.img
    Entity_and_Attribute_Detail_Citation: https://pubs.usgs.gov/sim/3252/

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Barnaby W. Rockwell
  2. Who also contributed to the data set?
    Barnaby W. Rockwell, U.S. Geological Survey Central Mineral and Environmental Resources Science Center
  3. To whom should users address questions about the data?
    Barnaby W. Rockwell
    U.S. Geological Survey
    Research Geophysicist
    Box 25046, Mail Stop 973
    Denver, Colorado
    United States

    303-236-1851 (voice)
    303-236-3200 (FAX)
    barnabyr@usgs.gov

Why was the data set created?

The purpose of the image is to display the type and spatial distribution of mineral and vegetation groups identified by automated analysis of Landsat satellite remote-sensing data.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
  3. What similar or related data should the user be aware of?
    Rockwell, B.W., 2012, Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado: Scientific Investigations Map 3190, U.S. Geological Survey, Denver, CO.

    Online Links:


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


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:
Acknowledgement of the U.S. Geological Survey would be appreciated in products derived from these data. Data have been checked to ensure the accuracy of the data. If any errors are detected, please notify the originating office. The U.S. Geological Survey strongly recommends that careful attention be paid to the metadata file associated with these data. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in ArcGIS and ERDAS Imagine formats, this metadata file may include some terminology specific to those software packages.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey
    U.S.G.S. Information Services
    P.O. Box 25286
    Denver, CO
    USA

    1-888-ASK-USGS (1-888-275-8747) (voice)
  2. What's the catalog number I need to order this data set? Downloadable Data
  3. What legal disclaimers am I supposed to read?
    Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items for other than personal use must be secured from the copyright owner. This database, identified as SIM 3252, has been approved for release and publication by the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 29-Dec-2020
Metadata author:
Peter N Schweitzer
USGS Geology, Energy, and Minerals Science Center
Geologist
12201 Sunrise Valley Drive
Reston, VA
USA

703-648-6533 (voice)
703-648-6252 (FAX)
pschweitzer@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

This page is <https://mrdata.usgs.gov/metadata/sim-3252.faq.html>
Generated by mp version 2.9.50 on Wed Dec 30 15:39:53 2020