Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda

Remote Sensing of Environment

Volumn 117, Issue , 2012, Pages 366-380

  Avitabile, Valerio ^a   Baccini, Alessandro ^b   Friedl, Mark A ^c   Schmullius, Christiane ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^b WOODS HOLE RESEARCH CENTER   (United States)

^c BOSTON UNIVERSITY   (United States)

Author keywords

Biomass; Carbon; Forest; GLAS; Land cover; Landsat; LiDAR; Random forest; REDD+; Regression tree; Uganda

Indexed keywords

FOREST; GLAS; LAND COVER; LANDSAT; RANDOM FORESTS; REDD+; REGRESSION TREES; UGANDA;

CARBON; DECISION TREES; ESTIMATION; FORESTRY; LANDFORMS; OPTICAL RADAR; PHENOLS; REGRESSION ANALYSIS; VEGETATION;

BIOMASS;

DATA SET; DECIDUOUS FOREST; ESTIMATION METHOD; LAND COVER; LANDSAT; NUMERICAL MODEL; PHENOLOGY; PHYTOMASS; PREDICTION; REGRESSION ANALYSIS; SATELLITE DATA; VEGETATION MAPPING;

UGANDA;

EID: 84855435874     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.10.012     Document Type: Article

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