Predicting and quantifying the structure of tropical dry forests in South Florida and the Neotropics using spaceborne imagery

Global Ecology and Biogeography

Volumn 15, Issue 3, 2006, Pages 225-236

  Gillespie, Thomas W ^a   Zutta, Brian R ^a   Early, Michael K ^a   Saatchi, Sassan ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Climate; Florida; Forest structure; Hurricanes; Landsat; NED; Neotropics; SRTM; Tropical dry forests

Indexed keywords

FORESTRY; HURRICANE; LANDSAT; NEOTROPICAL REGION; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SIR; TOPOGRAPHY;

FLORIDA [UNITED STATES]; NORTH AMERICA; UNITED STATES;

EID: 33646154010     PISSN: 1466822X     EISSN: 14668238     Source Type: Journal    
DOI: 10.1111/j.1466-822X.2005.00203.x     Document Type: Article

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