Fractional cover mapping of spruce and pine at 1 ha resolution combining very high and medium spatial resolution satellite imagery

Remote Sensing of Environment

Volumn 204, Issue , 2018, Pages 690-703

  Immitzer, Markus ^a   Böck, Sebastian ^a   Einzmann, Kathrin ^a   Vuolo, Francesco ^a   Pinnel, Nicole ^b   Wallner, Adelheid ^c   Atzberger, Clement ^a  

^a UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

^c Bavarian State Institute of Forestry (LWF) Department of Information Technology Research Group: Remote Sensing   (Germany)

Author keywords

Fractional cover; Landsat; Random Forest regression; Tree species mapping; Upscaling; WorldView 2

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLIMATE CHANGE; COST EFFECTIVENESS; DECISION TREES; FORESTRY; IMAGE RESOLUTION; IMAGE SEGMENTATION; MAPPING; MEAN SQUARE ERROR; RISK ASSESSMENT; TIME SERIES;

FRACTIONAL COVER; LANDSAT; RANDOM FOREST REGRESSION; RANDOM FORESTS; SPATIAL RESOLUTION; SPECIES MAPPING; TREE SPECIES; TREE SPECIES MAPPING; UPSCALING; WORLDVIEW-2;

LANDSAT;

CONIFEROUS FOREST; EXTREME EVENT; FOREST COVER; FOREST MANAGEMENT; IMAGE CLASSIFICATION; LANDSAT; ORTHOPHOTO; REGRESSION ANALYSIS; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPECTRAL RESOLUTION; TIME SERIES ANALYSIS; UPSCALING; VEGETATION CLASSIFICATION; VEGETATION MAPPING; WORLDVIEW;

BAVARIA; GERMANY;

PICEA; PICEA ABIES; PINUS SYLVESTRIS;

EID: 85034410882     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2017.09.031     Document Type: Article

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