Assessing fire severity using imaging spectroscopy data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and comparison with multispectral capabilities

Remote Sensing of Environment

Volumn 154, Issue , 2014, Pages 153-163

  Veraverbeke, Sander ^a,b   Stavros, E Natasha ^a   Hook, Simon J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

AVIRIS; EnMAP; Fire severity; Forest fire; Hyperspectral; HyspIRI; OLI; PRISMA; Weighted multiple endmember spectral mixture analysis (wMESMA); Wildland fire

Indexed keywords

DAMAGE DETECTION; DEFORESTATION; FIRE HAZARDS; IMAGE ENHANCEMENT; INFRARED SPECTROMETERS; ITERATIVE METHODS; MIXTURES; VEGETATION;

AVIRIS; ENMAP; FIRE SEVERITY; FOREST FIRES; HYPERSPECTRAL; HYSPIRI; MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS; PRISMA; WILDLAND FIRE;

FIRES;

ASSESSMENT METHOD; AVIRIS; DATA SET; FIRE BEHAVIOR; FRACTIONATION; LANDSAT THEMATIC MAPPER; NUMERICAL MODEL; SATELLITE DATA; SHORTWAVE RADIATION; SPATIOTEMPORAL ANALYSIS; SPECTROSCOPY;

EID: 84907807949     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.08.019     Document Type: Article

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