Modeling aboveground biomass in tropical forests using multi-frequency SAR data-A comparison of methods

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 1, 2012, Pages 298-306

  Englhart, Sandra ^a   Keuck, Vanessa ^b   Siegert, Florian ^a,b  

^a UNIVERSITY OF MUNICH   (Germany)

^b REMOTE SENSING SOLUTIONS GMBH   (Germany)

Author keywords

ALOS PALSAR; artificial neural network (ANN); biomass; forest; Indonesia; REDD+; regression; support vector regression (SVR)

Indexed keywords

ALOS PALSAR; ARTIFICIAL NEURAL NETWORK; FOREST; INDONESIA; REDD+; REGRESSION; SUPPORT VECTOR REGRESSION (SVR);

DATA FUSION; DEFORESTATION; NEURAL NETWORKS; OPTICAL RADAR; REGRESSION ANALYSIS; SATELLITE IMAGERY;

BIOMASS;

ABOVEGROUND BIOMASS; ALOS; ARTIFICIAL NEURAL NETWORK; BACKSCATTER; ECOLOGICAL MODELING; LIDAR; MODEL TEST; MODEL VALIDATION; MULTIVARIATE ANALYSIS; PEATLAND; SATELLITE IMAGERY; SYNTHETIC APERTURE RADAR; TERRASAR-X; TROPICAL FOREST; VECTOR AUTOREGRESSION;

BIOMASS; DATA PROCESSING; DEFORESTATION; FORESTS; IMAGE ANALYSIS; INDONESIA; NEURAL NETWORKS; REGRESSION ANALYSIS; SATELLITES;

EID: 84857709542     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2011.2176720     Document Type: Article

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