Windthrow detection in european forests with very high-resolution optical data

Forests

Volumn 8, Issue 1, 2017, Pages

  Einzmann, Kathrin ^a   Immitzer, Markus ^a   Böck, Sebastian ^a   Bauer, Oliver ^b   Schmitt, Andreas ^c   Atzberger, Clement ^a  

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

^b Bavarian Forst Institute (LWF)   (Germany)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Hybrid change detection; Large scale mean shift; OBIA; Random Forests; Remote sensing; Windthrow

Indexed keywords

CLIMATE CHANGE; DAMAGE DETECTION; DECISION TREES; FORESTRY; IMAGE SEGMENTATION; LOSSES; OBJECT DETECTION; OPTICAL RESOLVING POWER; PIXELS; REMOTE SENSING; SIGNAL DETECTION; STORMS;

HYBRID CHANGE DETECTION; MEAN SHIFT; OBIA; RANDOM FORESTS; WINDTHROWS;

FEATURE EXTRACTION;

FOREST COVER; IMAGE ANALYSIS; ORTHOPHOTO; REMOTE SENSING; TREE; WINDTHROW;

COST EFFECTIVENESS; DATA PROCESSING; FORESTRY; REMOTE SENSING; SEASONAL VARIATION;

GERMANY;

COLEOPTERA;

EID: 85011273268     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f8010021     Document Type: Article

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