Record Display for the EPA National Library Catalog

RECORD NUMBER: 24 OF 81

OLS Field Name OLS Field Data
Main Title Computer processing of multispectral scanner data over coal strip mines /
Author Tanner, Charles E.,
CORP Author Lockheed Electronics Co., Inc., Las Vegas, NV.;Environmental Monitoring and Support Lab., Las Vegas, NV.
Publisher Environmental Monitoring and Support Laboratory, Available to the public through the National Technical Information Service.
Year Published 1979
Report Number EPA-600/7-79-080; 68-03-2636; EPA-68-03-2636
Stock Number PB80-111677
OCLC Number 05929051
Subjects Strip mining--Environmental aspects--West (U.S.) ; Multispectral imaging--Data processing. ; United States, West. ; Remote sensing. ; Multispectral photography--Data processing.
Additional Subjects Coal mines ; Strip mining ; Aerial photography ; Pattern recognition ; Vegetation ; Photointerpretation ; Wyoming ; Montana ; Colorado ; Arizona ; Image processing ; Multispectral photography ; Colstrip Mine ; Decker Mine ; Dave Johnston Mine ; Wyodak Mine ; Black Mesa Mine ; Nucla Mine
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=9101QC3C.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD ARCHIVE EPA 600-7-79-080 Headquarters Library/Washington,DC 01/23/2012
EJBD  EPA 600-7-79-080 c.1 Headquarters Library/Washington,DC 06/26/2013
EKAM  TD195.S75T25 Region 4 Library/Atlanta,GA 03/31/1995
ESAD  EPA 600-7-79-080 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB80-111677 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation x, 49 pages : illustrations (some color), maps ; 28 cm.
Abstract
There is little doubt that remote sensing techniques can be effectively applied to the task of monitoring coal strip mine progress and reclamation work. Aircraft multispectral scanner data acquired over six coal strip mines in the states of Wyoming, Montana, Colorado, and Arizona were processed on the Data Analysis System (DAS) using a clustering approach to automatic pattern recognition. The classification results demonstrated that a Level I hierarchy of vegetation features, manmade features, and disturbed areas could be easily obtained with a minimum amount of time. Aside from satisfying a Level I hierarchy, the results may be used as input to other classification approaches to pattern recognition, or they may be incorporated into a data base for planning or for conducting temporal analyses studies.
Notes
"Lockheed Electronics Company, Inc." Mar. 1979. Includes bibliographical references. "Contract no. 68-03-2636."