Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 108, Issue , 2015, Pages 260-272

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

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITY OF ANTWERP   (Belgium)

^c WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Biophysical variables; Machine learning; Non parametric; Parametric; Physically based RTM inversion; Sentinel 2

Indexed keywords

AGRICULTURAL MACHINERY; ARTIFICIAL INTELLIGENCE; COST FUNCTIONS; COSTS; IMAGE PROCESSING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; OPTICAL DATA PROCESSING; RADIATIVE TRANSFER; REGRESSION ANALYSIS; SEARCH ENGINES; TABLE LOOKUP; UNCERTAINTY ANALYSIS;

BIO-PHYSICAL VARIABLES; NON-PARAMETRIC; PARAMETRIC; RTM INVERSION; SENTINEL-2;

PARAMETER ESTIMATION;

ACCURACY ASSESSMENT; AGRICULTURAL LAND; BIOPHYSICS; CALIBRATION; COMPARATIVE STUDY; DATA SET; EXPERIMENTAL STUDY; LEAF AREA INDEX; MACHINE LEARNING; MODEL VALIDATION; PARAMETERIZATION; PHYSICAL METHOD; RADIATIVE TRANSFER; SENTINEL;

ALBACETE [CASTILLA-LA MANCHA]; BARRAX; CASTILLA-LA MANCHA; SPAIN;

EID: 84942550615     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.04.013     Document Type: Article

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