Modeling forest biomass using very-high-resolution data - combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images

European Journal of Remote Sensing

Volumn 48, Issue , 2015, Pages 245-261

  Maack, Joachim ^a   Kattenborn, Teja ^b   Fassnacht, Fabian Ewald ^b   Enßle, Fabian ^a   Hernández, Jaime ^c   Corvalán, Patricio ^c   Koch, Barbara ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^c UNIVERSITY OF CHILE   (Chile)

Author keywords

Biomass modelling; Canopy height models; Photogrammetry; Pl iades; Random forest; WordView 2

Indexed keywords

BIOMASS; DECISION TREES; FORESTRY; PHOTOGRAMMETRY; RANDOM FORESTS; TEXTURES;

CANOPY HEIGHT MODELS; FOREST INVENTORY; RANDOM FOREST MODELING; SPECTRAL INFORMATION; TEXTURE INFORMATION; VERY HIGH RESOLUTION; VERY HIGH RESOLUTION DATUM; WORDVIEW-2;

STEREO IMAGE PROCESSING;

FOREST CANOPY; FOREST INVENTORY; FORESTRY MODELING; IMAGE RESOLUTION; LIDAR; PHOTOGRAMMETRY; PHYTOMASS; PLEIADES; SATELLITE DATA; SPECTRAL ANALYSIS; STEREO IMAGE; SYNTHETIC APERTURE RADAR; WORLDVIEW;

BIOMASS; DATA PROCESSING; FORESTS; IMAGES; INVENTORIES; PHOTOGRAMMETRY; RESOLUTION;

CHILE; GERMANY;

EID: 84934980827     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.5721/EuJRS20154814     Document Type: Article

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