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Main Title Accuracy assessment of 1992 Landstat-MSS derived land cover for the Upper San Pedro watershed (U.S./Mexico) {microform} /
Author Maingi, J. K. ; Kepner, S. E. ; Edmonds, W. G.
Other Authors
Author Title of a Work
Marsh, Stewart.
Kepner, William G.
Edmonds, Curtis M.
CORP Author Arizona Univ., Tucson.;Environmental Protection Agency, Las Vegas, NV. National Exposure Research Lab.
Publisher U.S. Environmental Protection Agency, Landscape Ecology Branch,
Year Published 2002
Report Number EPA/600/R-02-040; NERL-LV-ESD-02-062
Stock Number PB2002-107521
Additional Subjects Landsat satellites ; Land cover ; Image analysis ; Methods ; Satellite observation ; Geography ; Remote sensing ; Mexico ; United States ; Maps ; Accuracy assessments ; Sampling ; Classification accuracy ; Digital Orthophoto Quads(DOQs) ; Upper San Pedro Watershed
Library Call Number Additional Info Location Last
NTIS  PB2002-107521 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 19 p. : ill. ; 25 cm.
The utility of Digital Orthophoto Quads (DQQS) in assessing the classification accuracy of land cover derived from Landsat MSS data was investigated. Initially, the suitability of DOQs in distinguishing between different land cover classes was assessed using high-resolution airborne color video data. A cross-tabulation of the analyst's DOQ labels and the reference video label was produced and had an overall accuracy of 92%. This indicated that the DOQ data could be used to identify and distinguish between the different land cover classes. A 1992 land cover map for the upper San Pedro Watershed was available for accuracy assessment. The map was interpreted and generated by Instituto del Medio Ambiente y el Desarrollo Sustentable del Estado de Sonora (B4ADES), Hermosillo, Sonora. The Environmental Protection Agency (EPA) supplied Arizona Remote Sensing Center (ARSC) with approximately 60 DOQs for 1992. Most of the land cover classes were fairly well represented in the DOQs and covered between 24% and 41% in eight out of ten land cover classes. Only the Barren and Agriculture classes were poorly represented in the available DOQs covering 5.3% and 14.2% of the map area, respectively. A total of 457 sample points was used for the accuracy assessment. Allocation of sample points to land cover classes was through stratified (by land cover class area) random sampling, with a 20-sample minimum for the smallest classes. Map labels for the sample points were compared with reference DOQ labels and an error matrix generated. An overall classification accuracy of about 75% was obtained.
Includes bibliographical references. Microfiche.