Multi-temporal, multi-sensor retrieval of terrestrial vegetation properties from spectral-directional radiometric data

Remote Sensing of Environment

Volumn 158, Issue , 2015, Pages 311-330

  Mousivand, Alijafar ^a   Menenti, Massimo ^a   Gorte, Ben ^a   Verhoef, Wout ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Bayesian model inversion; CHRIS Proba; FCover; LAI; Multi sensor; Multi temporal; Sensitivity analysis; SLC MODTRAN; TOA radiance

Indexed keywords

BAYESIAN NETWORKS; ITERATIVE METHODS; ORBITS; RADIATIVE TRANSFER; RADIOMETRY; SENSITIVITY ANALYSIS;

BAYESIAN MODEL; CHRIS-PROBA; FCOVER; LAI; MODTRAN; MULTI SENSOR; MULTI-TEMPORAL; TOA RADIANCE;

VEGETATION;

ASTER; BAYESIAN ANALYSIS; BIOPHYSICS; CHLOROPHYLL; CHRIS; DATA ACQUISITION; ENVIRONMENTAL MODELING; FOREST COVER; INTEGRATED APPROACH; LANDSAT THEMATIC MAPPER; LEAF AREA INDEX; MONITORING; PROBA; RADIATIVE TRANSFER; RADIOMETRIC SURVEY; SATELLITE SENSOR; SENSITIVITY ANALYSIS; SENTINEL; SPATIAL RESOLUTION; VEGETATION MAPPING;

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

PROBA;

EID: 84949115322     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.10.030     Document Type: Article

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