Land cover mapping of large areas using chain classification of neighboring Landsat satellite images

Remote Sensing of Environment

Volumn 113, Issue 5, 2009, Pages 957-964

  Knorn, Jan ^a   Rabe, Andreas ^a   Radeloff, Volker C ^b   Kuemmerle, Tobias ^a,b   Kozak, Jacek ^c   Hostert, Patrick ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c JAGIELLONIAN UNIVERSITY   (Poland)

Author keywords

Carpathians; Chain classification; Forest classification; Land cover and land use change; Landsat; Large area mapping; Support Vector Machines; SVM

Indexed keywords

CARPATHIANS; FOREST CLASSIFICATION; LAND COVER AND LAND USE CHANGE; LANDSAT; LARGE AREA MAPPING; SVM;

FORESTRY; IMAGE RETRIEVAL; LAND USE; LANDFORMS; PROBABILISTIC LOGICS; SATELLITE IMAGERY; SUPPORT VECTOR MACHINES;

MAPPING;

FOREST; IMAGE CLASSIFICATION; LAND COVER; LANDSAT; MACHINERY; MAPPING METHOD; MOUNTAIN ENVIRONMENT; SATELLITE IMAGERY;

DATA PROCESSING; FORESTRY; IMAGE ANALYSIS; LAND USE; RESOLUTION; SATELLITES;

CARPATHIANS; EURASIA; EUROPE;

EID: 63749121428     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.01.010     Document Type: Article

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