An objective methodology for merging satellite- and model-based soil moisture products
Published 2012 View Full Article
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Title
An objective methodology for merging satellite- and model-based soil moisture products
Authors
Keywords
-
Journal
WATER RESOURCES RESEARCH
Volume 48, Issue 11, Pages -
Publisher
American Geophysical Union (AGU)
Online
2012-09-27
DOI
10.1029/2011wr011682
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Related references
Note: Only part of the references are listed.- Error Estimates for Near-Real-Time Satellite Soil Moisture as Derived From the Land Parameter Retrieval Model
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- Validation of AMSR-E soil moisture using L-band airborne radiometer data from National Airborne Field Experiment 2006
- (2011) Iliana Mladenova et al. REMOTE SENSING OF ENVIRONMENT
- Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products
- (2010) Thomas J. Jackson et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States
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- Estimating Spatial Sampling Errors in Coarse-Scale Soil Moisture Estimates Derived from Point-Scale Observations
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- Land surface temperature from Ka band (37 GHz) passive microwave observations
- (2009) T. R. H. Holmes et al. JOURNAL OF GEOPHYSICAL RESEARCH
- An evaluation of AMSR–E derived soil moisture over Australia
- (2009) Clara S. Draper et al. REMOTE SENSING OF ENVIRONMENT
- A possible solution for the problem of estimating the error structure of global soil moisture data sets
- (2008) K. Scipal et al. GEOPHYSICAL RESEARCH LETTERS
- Mesoscale Monitoring of Soil Moisture across a Statewide Network
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- Multisensor historical climatology of satellite-derived global land surface moisture
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- Retrieval of an Available Water-Based Soil Moisture Proxy from Thermal Infrared Remote Sensing. Part I: Methodology and Validation
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- An adaptive ensemble Kalman filter for soil moisture data assimilation
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