Assimilation of Active and Passive Microwave Observations for Improved Estimates of Soil Moisture and Crop Growth

An ensemble Kalman Filter-based data assimilation framework that links a crop growth model with active and passive (AP) microwave models was developed to improve estimates of soil moisture (SM) and vegetation biomass over a growing season of soybean. Complementarities in AP observations were incorpo...

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Bibliographic Details
Published in:IEEE journal of selected topics in applied earth observations and remote sensing 2016-04, Vol.9 (4), p.1357-1369
Main Authors: Liu, Pang-Wei, Bongiovanni, Tara, Monsivais-Huertero, Alejandro, Judge, Jasmeet, Steele-Dunne, Susan, Bindlish, Rajat, Jackson, Thomas J.
Format: Article
Language:English
Subjects:
Active microwave remote sensing
Agriculture
aquarius
Assimilation
Biological system modeling
Biomass
data assimilation
Data models
Decision support systems
Drying
Estimates
Herbivores
Missions
passive microwave remote sensing
Soil moisture
soil moisture (SM)
soil moisture active passive (SMAP)
Temporal resolution
Vegetation
Vegetation mapping
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Summary:An ensemble Kalman Filter-based data assimilation framework that links a crop growth model with active and passive (AP) microwave models was developed to improve estimates of soil moisture (SM) and vegetation biomass over a growing season of soybean. Complementarities in AP observations were incorporated to the framework, where the active observations were used to optimize surface roughness and update vegetation biomass, while passive observations were used to update SM. The framework was implemented in a rain-fed agricultural region of the southern La-Plata Basin during the 2011-2012 growing season, through a synthetic experiment and AP observations from the Aquarius mission. The synthetic experiment was conducted at a temporal resolution of 3 and 7 days to match the current AP missions. The assimilated estimates of SM in the root zone and dry biomass were improved compared to those from the cases without assimilation, during both 3- and 7-day assimilation scenarios. Particularly, the 3-day assimilation provided the best estimates of SM in the near surface and dry biomass with reductions in RMSEs of 41% and 42%, respectively. The absolute differences of assimilated LAI from Aquarius were
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2015.2506504