Using class probabilities to map gradual transitions in shrub vegetation from simulated EnMAP data

Remote Sensing

Volumn 7, Issue 8, 2015, Pages 10668-10688

  Suess, Stefan ^a   Van Der Linden, Sebastian ^a   Okujeni, Akpona ^a   Leitão, Pedro J ^a   Schwieder, Marcel ^a   Hostert, Patrick ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

Author keywords

class probabilities; EnMAP; Imaging spectroscopy; Portugal; Shrub ecosystem; Sub pixel mapping; Support vector classification

Indexed keywords

ECOLOGY; ECOSYSTEMS; MAPPING; MEAN SQUARE ERROR; MIXTURES; PIXELS; PROBABILITY; QUALITY CONTROL; REMOTE SENSING; VEGETATION;

CLASS PROBABILITIES; ENMAP; IMAGING SPECTROSCOPY; PORTUGAL; SUB-PIXEL MAPPING; SUPPORT VECTOR CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 84939434402     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70810668     Document Type: Article

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