Mapping megacity growth with multi-sensor data

Remote Sensing of Environment

Volumn 114, Issue 2, 2010, Pages 426-439

  Griffiths, Patrick ^a   Hostert, Patrick ^a   Gruebner, Oliver ^a   der Linden, Sebastian van ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

Author keywords

Machine learning; Megacity; Multi sensor; Multi temporal; SAR; support vector machine; SVM; Urban ecology; Urban monitoring; Urbanization Landsat TM

Indexed keywords

LANDSAT TM; MACHINE-LEARNING; MEGACITIES; MULTI SENSOR; MULTI-TEMPORAL; MULTI-TEMPORAL SAR; URBAN ECOLOGY; URBAN MONITORING;

AGRICULTURAL MACHINERY; ECOSYSTEMS; FORESTRY; IMAGE RETRIEVAL; IMAGING SYSTEMS; LAND USE; LANDFORMS; MAPPING; MONITORING; REMOTE SENSING; ROBOT LEARNING; SPACE OPTICS; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

SUPPORT VECTOR MACHINES;

DATA SET; ECOSYSTEM SERVICE; LAND COVER; LAND USE CHANGE; LANDSAT; MEGACITY; REMOTE SENSING; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS; SYNTHETIC APERTURE RADAR; URBAN ECOSYSTEM; URBAN GROWTH; URBANIZATION;

ASIA; BANGLADESH; DHAKA [BANGLADESH]; EURASIA; SOUTH ASIA;

EID: 71349088239     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.09.012     Document Type: Article

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