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Passive/active Microwave Soil Moisture Change Disaggregation Using Smapvex12 DataThe SMAPVEX12 (Soil Moisture Active Passive (SMAP) Validation Experiment 2012) experiment was conducted during June-July 2012 in Manitoba, Canada with the goal of collecting remote sensing data and ground measurements for the development and testing of soil moisture retrieval algorithms under varying vegetation and soil conditions for the SMAP satellite. The aircraft based soil moisture data provided by the passive/active microwave sensor PALS (Passive and Active L-band System) has a nominal spatial resolution of 1600 m. However, this resolution is not compatible with agricultural, meteorological and hydrological studies that require high spatial resolutions and this issue can be solved by soil moisture disaggregation. The soil moisture disaggregation algorithm integrates radiometer soil moisture retrievals and high-resolution radar observations and it can provide soil moisture estimates at a finer scale than the radiometer data alone. In this study, a change detection algorithm was used for disaggregation of coarse resolution passive microwave soil moisture retrievals with radar backscatter coefficients obtained from the higher spatial resolution UAVSAR (Unmanned Air Vehicle Synthetic Aperture Radar) at crop field scale. The accuracy of the disaggregated change in soil moisture was evaluated using ground based soil moisture measurements collected during SMAPVEX12 campaign. The results showed that soil moisture spatial variabilities were better characterized by the disaggregated change in soil moisture estimates at 5 m / 800 m resolution as well as good agreement with in situ measurements. It also showed that VWC (Vegetation Water Content) did not have a big impact on disaggregation algorithm performance, with R2 of the disaggregated results ranging 0.628-0.794. The 5 m and 800m resolution disaggregated soil moisture did no show significant difference in statistical performance variables.
Document ID
20190026597
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
External Source(s)
Authors
Bin Fang
(University of South Carolina System Columbia, South Carolina, United States)
Venkat Lakshmi
(University of South Carolina System Columbia, South Carolina, United States)
Thomas J Jackson
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
Rajat Bindlish
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Andreas Colliander
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Date Acquired
June 24, 2019
Publication Date
April 30, 2019
Publication Information
Publication: Journal of Hydrology
Publisher: Elsevier
Volume: 574
Issue Publication Date: July 1, 2019
ISSN: 0022-1694
e-ISSN: 1879-2707
URL: https://www.sciencedirect.com/science/article/pii/S0022169419304226
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN70046
E-ISSN: 1879-2707
Report Number: GSFC-E-DAA-TN70046
ISSN: 0022-1694
Funding Number(s)
PROJECT: SCMD-EarthScienceSystem_389018
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
Professional Review
Keywords
Radar Backscatter
SMAP
Microwave Soil Moisture
Disaggregation Change Detection Algorithm
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