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Assimilating Remote Sensing Observations of Leaf Area Index and Soil Moisture for Wheat Yield Estimates: An Observing System Simulation ExperimentObserving system simulation experiments were used to investigate ensemble Bayesian state updating data assimilation of observations of leaf area index (LAI) and soil moisture (theta) for the purpose of improving single-season wheat yield estimates with the Decision Support System for Agrotechnology Transfer (DSSAT) CropSim-Ceres model. Assimilation was conducted in an energy-limited environment and a water-limited environment. Modeling uncertainty was prescribed to weather inputs, soil parameters and initial conditions, and cultivar parameters and through perturbations to model state transition equations. The ensemble Kalman filter and the sequential importance resampling filter were tested for the ability to attenuate effects of these types of uncertainty on yield estimates. LAI and theta observations were synthesized according to characteristics of existing remote sensing data, and effects of observation error were tested. Results indicate that the potential for assimilation to improve end-of-season yield estimates is low. Limitations are due to a lack of root zone soil moisture information, error in LAI observations, and a lack of correlation between leaf and grain growth.
Document ID
20130014806
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
doi:10.1029/2011WR011420
Authors
Nearing, Grey S. (Arizona Univ. Tucson, AZ, United States)
Crow, Wade T. (Agricultural Research Service Beltsville, MD, United States)
Thorp, Kelly R. (Agricultural Research Service Tucson, AZ, United States)
Moran, Mary S. (Agricultural Research Service Tucson, AZ, United States)
Reichle, Rolf H. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Gupta, Hoshin V. (Arizona Univ. Tucson, AZ, United States)
Date Acquired
December 20, 2013
Publication Date
May 1, 2012
Publication Information
Publication: Water Resources Research
Volume: 48
Issue: 5
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN823
Funding Number(s)
CONTRACT_GRANT: 08-SMAPSDT08-0042
CONTRACT_GRANT: NNG12HP08C
CONTRACT_GRANT: NNH08HR03A
Distribution Limits
Public
Copyright
Public Use Permitted.

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