Assimilating remote sensing based soil moisture in an ecosystem model (BEPS) for agricultural drought assessment

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 5, Issue 1, 2008, Pages

  Zhu, Lin ^a   Chen, Jing M ^b   Qin, Qiming ^a   Huang, Mei ^c   Wang, Lianxi ^d   Li, Jianping ^d   Cao, Bao ^a  

^a PEKING UNIVERSITY   (China)

^b UNIVERSITY OF TORONTO   (Canada)

^c Institute of Geographic Science and Natural Resources Research   (China)

^d Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction   (China)

Author keywords

BEPS; Data assimilation; Parameter optimization; Soil moisture

Indexed keywords

AGRICULTURAL DROUGHT; BEPS; BOREAL ECOSYSTEMS; DATA ASSIMILATION; ECOSYSTEM MODEL; ENSEMBLE KALMAN FILTER; KEY PARAMETERS; LEAF AREA INDEX; MODEL INITIALIZATION; MODEL PREDICTION; NEAR INFRARED; OPTIMIZED PARAMETER; PARAMETER OPTIMIZATION; REMOTE SENSING DATA; REMOTELY SENSED SOIL MOISTURE; ROOT DENSITY; SEMIARID AREA; SHORT WAVE INFRARED; SOIL MOISTURE ESTIMATION; SURFACE SOIL MOISTURE; TERRESTRIAL ECOSYSTEMS;

CONTROL THEORY; DATA PROCESSING; DROUGHT; ECOSYSTEMS; GROUNDWATER; MOISTURE CONTROL; MOISTURE DETERMINATION; PERMITTIVITY; REMOTE SENSING; SOIL MOISTURE; SOIL SURVEYS; STRUCTURAL OPTIMIZATION;

GEOLOGIC MODELS;

EID: 67649827819     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4780122     Document Type: Conference Paper

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