Improving global land cover characterization through data fusion

Geo-Spatial Information Science

Volumn 20, Issue 2, 2017, Pages 141-150

  Song, Xiao Peng ^a   Huang, Chengquan ^a   Townshend, John R ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

data fusion; global; land cover; regression tree; remote sensing; Satellite

Indexed keywords

DATA FUSION; FORESTRY; IMAGE RESOLUTION; REMOTE SENSING; SATELLITES; TURING MACHINES;

10-FOLD CROSS-VALIDATION; ENSEMBLE APPROACHES; GLOBAL; INTEGRATION APPROACH; LAND COVER; REGRESSION TREE MODELS; REGRESSION TREES; SCALE INVARIANT FEATURES;

DATA INTEGRATION;

DATA SET; LAND CLASSIFICATION; LAND COVER; MACHINE LEARNING; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION;

EID: 85020692870     PISSN: 10095020     EISSN: None     Source Type: Journal    
DOI: 10.1080/10095020.2017.1323522     Document Type: Article

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