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Volumn 127, Issue , 2012, Pages 181-193

Evaluation of potential of multiple endmember spectral mixture analysis (MESMA) for surface coal mining affected area mapping in different world forest ecosystems

Author keywords

Landsat; MESMA; SMA; Surface coal mining

Indexed keywords

AFFECTED AREA; AIRBORNE VISIBLE INFRARED IMAGING SPECTROMETER; AUSTRALIA; CLASSIFICATION ACCURACY; COAL EXTRACTION; COAL SEAMS; ENDMEMBERS; ENVIRONMENTAL APPLICATIONS; ENVIRONMENTAL INVESTIGATION; ENVIRONMENTAL PROBLEMS; ERROR MATRIX; FINE RESOLUTION; FOREST ECOSYSTEM; FRACTION IMAGES; GLOBAL SCALE; IMPERVIOUS SURFACE; LAND-COVER/LAND-USE CHANGE; LANDSAT; LANDSAT THEMATIC MAPPER; LANDSAT TM IMAGES; MESMA; MINING ACTIVITIES; MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS; NORMALIZED DIFFERENCE VEGETATION INDEX; ORTHOPHOTOGRAPHS; PIXEL PURITY INDEX; REFERENCE DATA; REFERENCE ENDMEMBERS; SMA; SPECTRAL INDICES; SPECTRAL LIBRARIES; SPECTRAL MIXTURE ANALYSIS; STATISTICAL SIGNIFICANCE; SURFACE COAL MINING; TEMPORAL AND SPATIAL PATTERN; UNITED STATES OF AMERICA;

EID: 84866666847     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.08.028     Document Type: Article
Times cited : (57)

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