Determining forest species composition using high spectral resolution remote sensing data

Remote Sensing of Environment

Volumn 65, Issue 3, 1998, Pages 249-254

  Martin, M E ^a   Newman, S D ^a   Aber, J D ^a   Congalton, R G ^a  

^a UNIVERSITY OF NEW HAMPSHIRE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIOMASS; LIGHT REFLECTION; MAXIMUM LIKELIHOOD ESTIMATION; OPTICAL RESOLVING POWER; RANDOM PROCESSES; SPECTRUM ANALYSIS; VEGETATION;

FOLIAR CHEMISTRY;

REMOTE SENSING;

AIRBORNE SENSING; COMMUNITY COMPOSITION; REMOTE SENSING; SPECTRAL RESOLUTION;

EID: 0032157733     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(98)00035-2     Document Type: Article

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