Predictions of tropical forest biomass and biomass growth based on stand height or canopy area are improved by Landsat-scale phenology across Puerto Rico and the U.S. Virgin Islands

Remote Sensing

Volumn 9, Issue 2, 2017, Pages

  Gwenzi, David ^a   Helmer, Eileen H ^b   Zhu, Xiaolin ^c   Lefsky, Michael A ^d   Marcano Vega, Humfredo ^b  

^a HUMBOLDT STATE UNIVERSITY   (United States)

^b USDA FOREST SERVICE   (United States)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^d Department of Ecosystem Science and Sustainability   (United States)

Author keywords

Forest biomass; Forest biomass growth; Forest carbon stocks; Forest deciduousness; Landsat; Phenology

Indexed keywords

BIOLOGY; BIOMASS; ECOLOGY; IMAGE RESOLUTION; OPTICAL RADAR; RADAR IMAGING; SATELLITE IMAGERY; TROPICS; WIND EFFECTS;

FOREST BIOMASS; FOREST CARBONS; FOREST DECIDUOUSNESS; LANDSAT; PHENOLOGY;

FORESTRY;

EID: 85013671662     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs90201023     Document Type: Article

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