Comparison of data fusion methods using crowdsourced data in creating a hybrid forest cover map

Remote Sensing

Volumn 8, Issue 3, 2016, Pages

  Lesiv, Myroslava ^a   Moltchanova, Elena ^b   Schepaschenko, Dmitry ^a,c   See, Linda ^a   Shvidenko, Anatoly ^a   Comber, Alexis ^d   Fritz, Steffen ^a  

^a INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS   (Austria)

^b UNIVERSITY OF CANTERBURY   (New Zealand)

^c MOSCOW STATE FOREST UNIVERSITY   (Russian Federation)

^d UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Data fusion methods; Forest map; Geographically weighted regression; Remote sensing

Indexed keywords

DATA FUSION; REGRESSION ANALYSIS; REMOTE SENSING;

CLASSIFICATION AND REGRESSION TREE; DATA FUSION METHODS; FOREST COVER; GEOGRAPHICALLY WEIGHTED REGRESSION; LOGISTIC REGRESSIONS; NEAREST NEIGHBOUR; PRESENCE/ABSENCE; SOURCES OF INFORMATIONS;

FORESTRY;

EID: 84962618384     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8030261     Document Type: Article

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