Object-based assessment of burn severity in diseased forests using high-spatial and high-spectral resolution MASTER airborne imagery

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 102, Issue , 2015, Pages 38-47

  Chen, Gang ^a   Metz, Margaret R ^b,c   Rizzo, David M ^b   Dillon, Whalen W ^d   Meentemeyer, Ross K ^d  

^a UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c LEWIS AND CLARK COLLEGE   (United States)

^d NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Band reduction; Burn severity; Forest disease; GEOBIA; Interacting disturbances; MNF (minimum noise fraction); PCA (principal component analysis)

Indexed keywords

ALGORITHMS; COMPUTATIONAL EFFICIENCY; ECOLOGY; ECOSYSTEMS; EFFICIENCY; FIRES; FORESTRY; HEALTH RISKS; SPECTRAL RESOLUTION;

BAND REDUCTION; BURN SEVERITY; FOREST DISEASE; GEOBIA; INTERACTING DISTURBANCES; MINIMUM NOISE FRACTION; PCA (PRINCIPAL COMPONENT ANALYSIS);

PRINCIPAL COMPONENT ANALYSIS;

AIRBORNE SENSING; CANOPY REFLECTANCE; COMPUTER SIMULATION; DISEASE SEVERITY; ENVIRONMENTAL DISTURBANCE; FOREST FIRE; FOREST HEALTH; SEGMENTATION; SPATIAL RESOLUTION; SPECTRAL REFLECTANCE; SPECTRAL RESOLUTION;

DISEASES; FORESTS; NOISE;

HEXAPODA; PHYTOPHTHORA RAMORUM;

EID: 84922284045     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.01.004     Document Type: Article

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