Improving image derived vegetation maps with regression based distribution modeling

Ecological Modelling

Volumn 192, Issue 1-2, 2006, Pages 126-142

  Dobrowski, S Z ^a   Greenberg, J A ^a   Ramirez, C M ^a   Ustin, S L ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Ancillary data; Consensus theory; Distribution modeling; Generalized additive model (GAM); IKONOS; Lake Tahoe; Multi source; Species mapping; Species prediction; Vegetation mapping

Indexed keywords

BIODIVERSITY; CLASSIFICATION (OF INFORMATION); ECOLOGY; IMAGE PROCESSING; LAKES; MAXIMUM LIKELIHOOD ESTIMATION;

ANCILLARY DATA; CONSENSUS THEORY; DISTRIBUTION MODELING; GENERALIZED ADDITIVE MODEL; IKONOS; LAKE TAHOE; MULTI-SOURCE; SPECIES MAPPING; SPECIES PREDICTION; VEGETATION MAPPING;

VEGETATION;

PREDICTION; SPATIAL DISTRIBUTION; VEGETATION CLASSIFICATION; VEGETATION MAPPING;

LAKE TAHOE; NORTH AMERICA; UNITED STATES;

EID: 31544451250     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.09.006     Document Type: Article

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