Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image

Remote Sensing of Environment

Volumn 140, Issue , 2014, Pages 318-329

  Laurent, Valérie C E ^a,c   Schaepman, Michael E ^a   Verhoef, Wout ^b   Weyermann, Joerg ^a   Chávez, Roberto O ^c  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

APEX; Bayesian optimization; Coupled model; Li Ross; MODTRAN4; Nadir normalization; Object based; Radiative transfer; Sentinel 2; SLC; Top of atmosphere radiance; Variable estimation

Indexed keywords

APEX; BAYESIAN OPTIMIZATION; COUPLED MODELING; LI-ROSS; MODTRAN4; NADIR-NORMALIZATION; OBJECT BASED; SENTINEL-2; SLC; TOP-OF-ATMOSPHERE RADIANCES;

BAYESIAN NETWORKS; CHLOROPHYLL; ESTIMATION; FLIGHT SIMULATORS; IMAGE SEGMENTATION; LITHIUM; RADIATIVE TRANSFER; VEGETATION;

COMPUTER SIMULATION;

ALGORITHM; BAYESIAN ANALYSIS; CHLOROPHYLL; IMAGE ANALYSIS; LEAF AREA INDEX; MAPPING; NADIR; NUMERICAL MODEL; REMOTE SENSING; SIMULATION; VEGETATION COVER;

SWITZERLAND; ZURICH [SWITZERLAND];

EID: 84884806856     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.09.005     Document Type: Article

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