Assimilation of satellite data into agrohydrological models to improve crop yield forecasts

International Journal of Remote Sensing

Volumn 30, Issue 10, 2009, Pages 2523-2545

  Vazifedoust, M ^a,b   van Dam, J C ^a   Bastiaanssen, W G M ^c,d   Feddes, R A ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b UNIVERSITY OF GUILAN   (Iran)

^c WaterWatch   (Netherlands)

^d DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; DROUGHT; GROUNDWATER; LAND USE; REMOTE SENSING; STATISTICS;

AGRICULTURAL DROUGHT; DATA ASSIMILATION ALGORITHMS; DISTRIBUTED MODELING; INTERNAL VARIABLES; MODERATE RESOLUTION; REMOTELY SENSED DATA; SPATIAL INFORMATIONS; STATISTICAL DATAS;

FORECASTING;

AGRICULTURAL APPLICATION; ALGORITHM; CROP PRODUCTION; CROP YIELD; DATA ASSIMILATION; DROUGHT; ENVIRONMENTAL FACTOR; EVAPOTRANSPIRATION; FORECASTING METHOD; HYDROLOGICAL MODELING; KALMAN FILTER; LEAF AREA INDEX; MODEL TEST; MODIS; SATELLITE DATA; SEMIARID REGION; WHEAT;

ASIA; BORKHAR; ESFAHAN [IRAN]; EURASIA; IRAN; MIDDLE EAST;

TRITICUM AESTIVUM;

EID: 70449602160     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802552769     Document Type: Article

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