A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data

Remote Sensing of Environment

Volumn 176, Issue , 2016, Pages 282-294

  Chirici, Gherardo ^a   Mura, Matteo ^a   McInerney, Daniel ^b   Py, Nicolas ^c   Tomppo, Erkki O ^d   Waser, Lars T ^e   Travaglini, Davide ^a   McRoberts, Ronald E ^f  

^a UNIVERSITY OF FLORENCE   (Italy)

^b Coillte Teoranta ^*  (Ireland)

^c Institut National de l'Information géographique et Forestière   (France)

^d FINNISH FOREST RESEARCH INSTITUTE   (Finland)

^e SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^f U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

Forestry applications; k Nearest Neighbors; Meta analysis; Review

Indexed keywords

FORESTRY; MOTION COMPENSATION; REMOTE SENSING; REVIEWS; TIMBER;

FOREST ENVIRONMENTS; FORESTRY APPLICATIONS; K-NEAREST NEIGHBORS; META ANALYSIS; QUANTITATIVE INFORMATION; REMOTELY SENSED DATA; SCIENTIFIC LITERATURE; SCIENTIFIC PUBLICATIONS;

NEAREST NEIGHBOR SEARCH;

DATABASE; EXPERIMENTAL STUDY; FORESTRY MODELING; LITERATURE REVIEW; META-ANALYSIS; NUMERICAL METHOD; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS;

EID: 84957681049     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.02.001     Document Type: Review

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