Estimating Mediterranean forest parameters using multi seasonal Landsat 8 OLI imagery and an ensemble learning method

Remote Sensing of Environment

Volumn 199, Issue , 2017, Pages 154-166

  Chrysafis, Irene ^a   Mallinis, Giorgos ^a   Gitas, Ioannis ^b   Tsakiri Strati, Maria ^b  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Forest inventory; Minimal depth; Multi temporal imagery; Random forest regression; Remote sensing; Variable importance measure; Variable selection

Indexed keywords

DECISION TREES; FORESTRY; PARAMETER ESTIMATION; REMOTE SENSING;

FOREST INVENTORY; MINIMAL DEPTH; MULTI-TEMPORAL IMAGERIES; RANDOM FORESTS; VARIABLE IMPORTANCES; VARIABLE SELECTION;

SATELLITE IMAGERY;

ALGORITHM; BASAL AREA; DRY SEASON; ESTIMATION METHOD; FOREST INVENTORY; LANDSAT; MEDITERRANEAN ENVIRONMENT; NUMERICAL METHOD; PARAMETER ESTIMATION; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; TREE;

EID: 85025078787     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2017.07.018     Document Type: Article

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