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Satellite Soil Moisture Validation Using Hydrological SWAT Model: A Case Study of Puerto Rico, USA
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Hydrology 2017, 4(4), 46; doi:10.3390/hydrology4040046

Comparison and Downscale of AMSR2 Soil Moisture Products with In Situ Measurements from the SCAN–NRCS Network over Puerto Rico

1
Department of Civil Engineering and Surveying, University of Puerto Rico, Mayagüez, PR 00682, USA
2
NOAA-CREST Center, The City College of New York, New York, NY 10031, USA
3
Agro-Environmental Science Department, University of Puerto Rico, Mayagüez, PR 00682, USA
4
Geospatial Research Laboratory, U.S. Army Engineer Research and Development Center, 7701 Telegraph Road, Alexandria, VA 22315, USA
*
Author to whom correspondence should be addressed.
Received: 11 September 2017 / Revised: 25 September 2017 / Accepted: 28 September 2017 / Published: 30 September 2017
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Abstract

A continuous spatio-temporal database of accurate soil moisture (SM) measurements is an important asset for agricultural activities, hydrologic studies, and environmental monitoring. The Advanced Microwave Scanning Radiometer 2 (AMSR2), which was launched in May 2012, has been providing SM data globally with a revisit period of two days. It is imperative to assess the quality of this data before performing any application. Since resources of accurate SM measurements are very limited in Puerto Rico, this research will assess the quality of the AMSR2 data by comparing it with ground-based measurements, as well as perform a downscaling technique to provide a better description of how the sensor perceives the surface soil moisture as it passes over the island. The comparison consisted of the evaluation of the mean error, root mean squared error, and the correlation coefficient. Two downscaling techniques were used, and their performances were studied. The results revealed that AMSR2 products tend to underestimate soil moisture. This is due to the extreme heterogeneous distributions of elevations, vegetation densities, soil types, and weather events on the island. This research provides a comprehensive study on the accuracy and potential of the AMSR2 products over Puerto Rico. Further studies are recommended to improve the AMSR2 products. View Full-Text
Keywords: soil moisture; AMSR2; remote sensing; downscale; SCAN-NRCS; passive microwave soil moisture; AMSR2; remote sensing; downscale; SCAN-NRCS; passive microwave
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Nuñez-Olivieri, J.; Muñoz-Barreto, J.; Tirado-Corbalá, R.; Lakhankar, T.; Fisher, A. Comparison and Downscale of AMSR2 Soil Moisture Products with In Situ Measurements from the SCAN–NRCS Network over Puerto Rico. Hydrology 2017, 4, 46.

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