Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest

International Journal of Remote Sensing

Volumn 32, Issue 23, 2011, Pages 7905-7927

  Chen, Xuexia ^a   Vogelmann, James E ^a   Rollins, Matthew ^a   Ohlen, Donald ^a   Key, Carl H ^b   Yang, Limin ^a   Huang, Chengquan ^c   Shi, Hua ^a  

^a EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

^b Glacier National Park   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; RECOVERY; REMOTE SENSING; VEGETATION;

COMPOSITE BURN INDICES; ENHANCED VEGETATION INDEX; MULTI-TEMPORAL IMAGE; MULTI-TEMPORAL REMOTE SENSING; NORMALIZED DIFFERENCE VEGETATION INDEX; PONDEROSA PINE FOREST; REGRESSION TREE MODELS; VEGETATION RECOVERY;

FIRES;

ACCURACY ASSESSMENT; CORRELATION; DETECTION METHOD; FOREST FIRE; INDEX METHOD; LANDSAT MULTISPECTRAL SCANNER; NDVI; REGRESSION ANALYSIS; REMOTE SENSING; VEGETATION COVER; VEGETATION MAPPING; WILDFIRE;

FOREST FIRES; FORESTRY; PLANTS; QUARTZ; RECOVERY; REMOTE SENSING; SOUTH DAKOTA;

BLACK HILLS NATIONAL FOREST; SOUTH DAKOTA; UNITED STATES;

EID: 82055206291     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2010.524678     Document Type: Article

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