Prediction of stem volume in complex temperate forest stands using TanDEM-X SAR data

Remote Sensing of Environment

Volumn 174, Issue , 2016, Pages 197-211

  Abdullahi, Sahra ^a   Kugler, Florian ^b   Pretzsch, Hans ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Forest inventory; Linear regression; Stem volume; TanDEM X; Temperate forest

Indexed keywords

INTERFEROMETRY; LINEAR REGRESSION; MEAN SQUARE ERROR; OPTICAL RADAR; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SYNTHETIC APERTURE RADAR;

FOREST INVENTORY; LINEAR REGRESSION MODELS; SPACEBORNE SYNTHETIC APERTURE RADARS; SPATIAL AND TEMPORAL RESOLUTIONS; STEM VOLUME; SUSTAINABLE FOREST MANAGEMENT; TANDEM-X; TEMPERATE FORESTS;

FORESTRY;

FOREST INVENTORY; FOREST MANAGEMENT; GLOBAL CHANGE; INTERFEROMETER; LIDAR; PREDICTION; REGRESSION ANALYSIS; STEM; SYNTHETIC APERTURE RADAR; TANDEM-X; TEMPERATE FOREST; TROPICAL FOREST;

BAVARIA; GERMANY; TRAUNSTEIN;

EID: 84950989874     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.12.012     Document Type: Article

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