Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 108, Issue , 2015, Pages 273-290

  Verrelst, Jochem ^a   Camps Valls, Gustau ^a   Muñoz Marí, Jordi ^a   Rivera, Juan Pablo ^a   Veroustraete, Frank ^b   Clevers, Jan G P W ^c   Moreno, José ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITY OF ANTWERP   (Belgium)

^c WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Bio geophysical variables; Hybrid; Machine learning; Non parametric; Operational variable retrieval; Parametric; Physical

Indexed keywords

DATA STREAMS; GEOPHYSICS; LEARNING SYSTEMS; REGRESSION ANALYSIS; VEGETATION;

BIO-GEOPHYSICAL VARIABLES; HYBRID; NON-PARAMETRIC; OPERATIONAL VARIABLES; PARAMETRIC; PHYSICAL;

REMOTE SENSING;

ALGORITHM; ENVIRONMENTAL MONITORING; FUTURE PROSPECT; GEOPHYSICS; MACHINE LEARNING; REMOTE SENSING; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS;

EID: 84942831872     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.05.005     Document Type: Short Survey

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