Version 1
: Received: 27 September 2017 / Approved: 28 September 2017 / Online: 28 September 2017 (03:37:51 CEST)
How to cite:
Nuñez Olivieri, J.; Muñoz-Barreto, J.; Tirado-Corbala, 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. Preprints2017, 2017090142. https://doi.org/10.20944/preprints201709.0142.v1
Nuñez Olivieri, J.; Muñoz-Barreto, J.; Tirado-Corbala, 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. Preprints 2017, 2017090142. https://doi.org/10.20944/preprints201709.0142.v1
Nuñez Olivieri, J.; Muñoz-Barreto, J.; Tirado-Corbala, 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. Preprints2017, 2017090142. https://doi.org/10.20944/preprints201709.0142.v1
APA Style
Nuñez Olivieri, J., Muñoz-Barreto, J., Tirado-Corbala, R., Lakhankar, T., & Fisher, A. (2017). Comparison and Downscale of AMSR2 Soil Moisture Products with In-Situ Measurements from the SCAN-NRCS Network over Puerto Rico. Preprints. https://doi.org/10.20944/preprints201709.0142.v1
Chicago/Turabian Style
Nuñez Olivieri, J., Tarendra Lakhankar and Andmorgan Fisher. 2017 "Comparison and Downscale of AMSR2 Soil Moisture Products with In-Situ Measurements from the SCAN-NRCS Network over Puerto Rico" Preprints. https://doi.org/10.20944/preprints201709.0142.v1
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), 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 with ground-based measurements and 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. 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.
Copyright:
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.
