Processed Thematic Mapper satellite imagery for selected areas within the U.S.-Mexico borderlands

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: John C. Dohrenwend
Originator: Floyd Gray
Originator: Robert J. Miller
Publication_Date: 2000
Title:
Processed Thematic Mapper satellite imagery for selected areas within the U.S.-Mexico borderlands
Geospatial_Data_Presentation_Form: remote-sensing image
Series_Information:
Series_Name: U.S. Geological Survey Open-File Report
Issue_Identification: 00-309
Publication_Information:
Publication_Place: Menlo Park, CA
Publisher: U.S. Geological Survey
Online_Linkage: http://pubs.usgs.gov/of/2000/of00-309/
Description:
Abstract:
The passage of the North American Trade Agreement (NAFTA), establishment of the Border Environmental Cooperation Commission as well as the EPA U.S./Mexico Border XXI Program has focused attention to the environmental social-cultural, and economic conditions in the United States-Mexico frontier and to the enhanced necessity of a binational, transborder approach in addressing problems. Towards this end, this U.S.-Mexico borderlands Thematic Mapper selection is designed to be utilized as fundamental part of a basic geographic information system database for natural resource, environmental, and land-management studies.
Purpose:
To provide processed satellite images of key areas along the U. S.-Mexico border for use in a broad spectrum of studies. Landsat data have been used by government, commercial, industrial, civilian, and educational communities in the U.S. and worldwide. They are being used to support a wide range of applications in such areas as global change research, agriculture, forestry, geology, resources management, geography, mapping, water quality, and oceanography. Landsat data have potential applications for monitoring the conditions of the Earth's land surface
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1984
Ending_Date: 1997
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -118.00
East_Bounding_Coordinate: -97.00
North_Bounding_Coordinate: 34.00
South_Bounding_Coordinate: 27.00
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geophysics
Theme_Keyword: multispectral imaging
Theme_Keyword: image collections
Theme_Keyword: geospatial datasets
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Categories
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: none
Theme_Keyword: EARTH SCIENCE
Theme_Keyword: RADIANCE OR IMAGERY
Theme_Keyword: INFRARED WAVELENGTHS
Theme_Keyword: INFRARED IMAGERY
Theme_Keyword: VISIBLE WAVELENGTHS
Theme_Keyword: VISIBLE IMAGERY
Theme_Keyword: DAAC
Theme_Keyword: EDC
Theme_Keyword: EROS
Theme_Keyword: IMAGERY
Theme_Keyword: LANDSAT
Theme_Keyword: RADIANCE
Theme_Keyword: REMOTE SENSING
Theme_Keyword: SATELLITE
Theme_Keyword: SPACE IMAGING EOSAT
Theme_Keyword: THEMATIC MAPPER
Theme_Keyword: TM
Theme_Keyword: USGS
Place:
Place_Keyword_Thesaurus: GCMD Location Keywords
Place_Keyword: NORTH AMERICA
Place:
Place_Keyword_Thesaurus: Augmented FIPS 10-4 and FIPS 6-4
Place_Keyword: MX02 = Baja California
Place_Keyword: MX26 = Sonora
Place_Keyword: MX06 = Chihuahua
Place_Keyword: MX07 = Coahuila de Zaragoza
Place_Keyword: MX19 = Nuevo Leon
Place_Keyword: MX28 = Tamaulipas
Place_Keyword: f04013 = Maricopa
Place_Keyword: f04027 = Yuma
Place_Keyword: f04019 = Pima
Place_Keyword: f04003 = Cochise
Place_Keyword: f04023 = Santa Cruz
Place_Keyword: f06073 = San Diego
Place_Keyword: f06025 = Imperial
Place_Keyword: f35013 = Dona Ana
Place_Keyword: f35023 = Hidalgo
Place_Keyword: f35029 = Luna
Place_Keyword: f48229 = Hudspeth
Place_Keyword: f48141 = El Paso
Place_Keyword: f48043 = Brewster
Place_Keyword: f48443 = Terrell
Place_Keyword: f48377 = Presidio
Place_Keyword: f48465 = Val Verde
Place_Keyword: f48163 = Frio
Place_Keyword: f48507 = Zavala
Place_Keyword: f48323 = Maverick
Place_Keyword: f48283 = La Salle
Place_Keyword: f48127 = Dimmit
Place_Keyword: f48479 = Webb
Place_Keyword: f48131 = Duval
Place_Keyword: f48249 = Jim Wells
Place_Keyword: f48273 = Kleberg
Place_Keyword: f48247 = Jim Hogg
Place_Keyword: f48505 = Zapata
Place_Keyword: f48261 = Kenedy
Place_Keyword: f48047 = Brooks
Place_Keyword: f48427 = Starr
Place_Keyword: f48215 = Hidalgo
Place_Keyword: f48489 = Willacy
Place_Keyword: f48061 = Cameron
Access_Constraints: none
Use_Constraints: none
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Floyd Gray
Contact_Organization: U.S. Geological Survey, GEO-WRG-MRS
Contact_Address:
Address_Type: mailing address
Address: E.N.R Building
City: Tucson
State_or_Province: AZ
Postal_Code: 85719-5035
Country: USA
Contact_Voice_Telephone: 520-670-5582
Contact_Facsimile_Telephone: 520-670-5571
Contact_Electronic_Mail_Address: fgray@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: http://pubs.usgs.gov/of/2000/of00-309/screenshot.jpg
Browse_Graphic_File_Description: Sample of one of the satellite images
Browse_Graphic_File_Type: JPEG
Browse_Graphic:
Browse_Graphic_File_Name: http://pubs.usgs.gov/of/2000/of00-309/FIGURES/TM_index.jpg
Browse_Graphic_File_Description:
Approximate locations of the centers of the TM scenes. Scenes indicated with a red circle are included in this dataset. Half filled circles indicate scenes shifted from the normal scene center.
Browse_Graphic_File_Type: JPEG
Cross_Reference:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2000
Title: Land Satellite (LANDSAT) Multispectral Scanner (MSS)
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Sioux Falls, SD
Publisher: U.S. Geological Survey
Other_Citation_Details:
The concept of a civilian Earth resources satellite was conceived in the Department of Interior in the mid-1960's. The National Aeronautics and Space Administration (NASA) embarked on an initiative to develop and launch the first Earth monitoring satellite to meet the needs of resource managers and Earth scientists. The USGS entered into a partnership with NASA in the early 1970's to assume responsibility for the archive management and distribution of Landsat data products. On July 23, 1972, NASA launched the first in a series of satellites designed to provide repetitive global coverage of the Earth's land masses.
Cross_Reference:
Citation_Information:
Originator: U.S. Geological Survey EROS Data Center
Publication_Date: 1972
Title: LGSOWG Landsat Multispectral Scanner (MSS) Imagery
Edition: 1.0
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Sioux Falls SD
Publisher: U.S. Geological Survey
Other_Citation_Details:
The Global Land Information System (GLIS) and the EOSDIS Information Management System (IMS) are interactive query systems providing information on this data set.
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The identification of features is provided by the distinct electromagnetic energy it emits, reflects, or otherwise transmits. This is called the spectral signature. Other signatures are tone (lightness or darkness), texture (surface roughness or smoothness), pattern, shadow, shape and size are as important. Thus, through the use of Thematic Mapper, such elements as water features, soils, and vegetation can be identified and distinguished from each other. The wavelength range for the TM sensor is from the visible (blue), through the mid- IR, into the thermal-IR portion of the electromagnetic spectrum. Sixteen detectors for the visible and mid-IR wavelength bands in the TM sensor provide 16 scan lines on each active scan. Four detectors for the thermal-IR band provide four scan lines on each active scan. The TM sensor has a spatial resolution of 30 m for the visible, near-IR, and mid-IR wavelengths and a spatial resolution of 120 m for the thermal-IR band.
Logical_Consistency_Report:
All of the Landsats have been in sun-synchronous orbits with equatorial crossing times ranging from 8:30 a.m. for Landsat 1, 9 a.m. for Landsat 2, to 9:45 a.m. for Landsat 5. The Landsat system provides for global data between 81 degrees north latitude and 81 degrees south latitude.
Completeness_Report:
Images provided by this report cover selected areas of the U.S.- Mexico border zone.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The TM sensor has a spatial resolution of 30 meters for the visible, near-IR, and mid-IR wavelengths and a spatial resolution of 120 meters for the thermal-IR band.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1972
Title: Land Satellite Multispectral Scanner (Landsat MSS)
Geospatial_Data_Presentation_Form: Remote-sensing image
Publication_Information:
Publication_Place: Sioux Falls, SD
Publisher: U.S. Geological Survey
Other_Citation_Details:
The USGS entered into a partnership with NASA in the early 1970's to assume responsibility for the archive management and distribution of Landsat data products. On July 23, 1972, NASA launched the first in a series of satellites designed to provide repetitive global coverage of the Earth's land masses. Designated initially as the Earth Resources Technology Satellite-A (ERTS-A), it used a Nimbus-type platform that was modified to carry sensor systems and data relay equipment. When operational orbit was achieved, it was designated ERTS-1. The satellite continued to function beyond its designed life expectancy of 1 year and finally ceased to operate on January 6, 1978, more than 5 years after its launch date. The second in this series of Earth resources satellites (designated ERTS-B) was launched January 22, 1975. It was renamed Landsat 2 by NASA, which also renamed ERTS-1 to Landsat 1. Three additional Landsats were launched in 1978, 1982, and 1984 ( Landsats 3, 4, and 5 respectively). Each successive satellite system had improved sensor and communications capabilities.
Type_of_Source_Media: cartridge tape
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19820716
Ending_Date: Present
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Landsat MSS
Source_Contribution: Remote sensing imagery along with ancillary data.
Process_Step:
Process_Description:
These images were processed on a Macintosh computer in Adobe Photoshop. Band selection and color balance were chosen to provide images useful for a broad spectrum of application.
Process_Date: 1999
Source_Produced_Citation_Abbreviation: Landsat MSS
Process_Step:
Process_Description: Creation of original metadata record
Process_Date: 1999
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Robert J Miller
Contact_Organization: U.S. Geological Survey, GEO-WRG-MRS
Contact_Address:
Address_Type: mailing address
Address:
Mail Stop 901
345 Middlefield Rd
City: Menlo Park
State_or_Province: CA
Postal_Code: 94025
Country: USA
Contact_Voice_Telephone: 650-329-5407
Contact_Facsimile_Telephone: 650-329-5490
Contact_Electronic_Mail_Address: rjmiller@usgs.gov
Spatial_Data_Organization_Information:
Indirect_Spatial_Reference:
A Landsat 4 and 5 TM scene has an instantaneous field of view (IFOV) of 30 square meters in bands 1 through 5 and band 7, band 6 has an IFOV of 120 square meters on the ground. The resolution for the TM sensor is shown below: Landsats 4-5 Resolution (meters) Band 1 30 Band 2 30 Band 3 30 Band 4 30 Band 5 30 Band 6 120 Band 7 30
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
These processed Landsat satellite images provide high-resolution multispectral coverage of selected areas. The characteristics of the MSS and TM bands were selected to maximize their capabilities for detecting and monitoring different types of Earth resources. For example, TM band 2 can detect green reflectance from healthy vegetation, and band 3 of TM is designed for detecting chlorophyll absorption in vegetation. TM band 4 is ideal for near-IR reflectance peaks in healthy green vegetation and for detecting water- land interfaces. Wavelength of TM band 1 can penetrate water for bathymetric mapping along coastal areas and is useful for soil-vegetation differentiation and for distinguishing forest types. The two mid-IR red bands on TM (bands 5 and 7) are useful for vegetation and soil moisture studies, and discriminating between rock and mineral types. The thermal-IR band on TM (band 6) is designed to assist in thermal mapping, and for soil moisture and vegetation studies. TM Bands 7, 4, and 2 have been combined to make false-color composite images. This band combination makes vegetation appear as shades of red, brighter reds indicating more vigorously growing vegetation. Soils with no or sparse vegetation will range from white (sands) to greens or browns depending on moisture and organic matter content. Water bodies will appear blue. Deep, clear water will be dark blue to black in color, while sediment- laden or shallow waters will appear lighter in color. Urban areas will appear blue-gray in color. Clouds and snow will be bright white. They are usually distinguishable from each other by the shadows associated with the clouds. Exposed bedrock will appear in a wide range of colors depending on the composition and other factors.
Entity_and_Attribute_Detail_Citation: http://pubs.usgs.gov/of/2000/of00-309/OF00-309.DOC
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Position: Customer Services Representative
Contact_Address:
Address_Type: mailing and physical address
Address: Open-File Reports, Box 252
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: USA
Contact_Voice_Telephone: 303-202-4200
Contact_Facsimile_Telephone: 303-202-4695
Resource_Description: USGS Open-File Report 00-309
Distribution_Liability:
Although these data have been processed successfully on a computer system at the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the Geological Survey regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. The Geological Survey will warrant the delivery of this product in computer-readable format. and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Requests for adjustments of credit must be made within 90 days from the date of this shipment from the ordering site.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: JPEG
Format_Version_Number: 1.0
Format_Information_Content: Compressed, low-loss versions of the satellite images
Transfer_Size: 70
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
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Fees: none
Metadata_Reference_Information:
Metadata_Date: 20160610
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Peter N Schweitzer
Contact_Organization: USGS Midwest Area
Contact_Position:
Collection manager, USGS Geoscience Data Clearinghouse, http://geo-nsdi.er.usgs.gov/
Contact_Address:
Address_Type: mailing address
Address:
Mail Stop 954
12201 Sunrise Valley Dr
City: Reston
State_or_Province: VA
Postal_Code: 20192-0002
Country: USA
Contact_Voice_Telephone: 703-648-6533
Contact_Facsimile_Telephone: 703-648-6252
Contact_Electronic_Mail_Address: pschweitzer@usgs.gov
Metadata_Standard_Name: Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Access_Constraints: None
Metadata_Use_Constraints: None

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