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Article

NASA’s MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data

1
Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA
2
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
3
Terrestrial Information Systems Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
4
Science Systems and Applications Inc., Lanham, MD 20706, USA
5
College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Bryan A. Baum and Steven Dewitte
Remote Sens. 2021, 13(4), 565; https://doi.org/10.3390/rs13040565
Received: 30 December 2020 / Revised: 29 January 2021 / Accepted: 2 February 2021 / Published: 5 February 2021
Global reservoir information can not only benefit local water management but can also improve our understanding of the hydrological cycle. This information includes water area, elevation, and storage; evaporation rate and volume values; and other characteristics. However, operational wall-to-wall reservoir storage and evaporation monitoring information is lacking on a global scale. Here we introduce NASA’s new MODIS/VIIRS Global Water Reservoir product suite based on moderate resolution remote sensing data—the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Visible Infrared Imaging Radiometer Suite (VIIRS). This product consists of 8-day (MxD28C2 and VNP28C2) and monthly (MxD28C3 and VNP28C3) measurements for 164 large reservoirs (MxD stands for the product from both Terra (MOD) or Aqua (MYD) satellites). The 8-day product provides area, elevation, and storage values, which were generated by first extracting water areas from surface reflectance data and then applying the area estimations to the pre-established Area–Elevation (A–E) relationships. These values were then further aggregated to monthly, with the evaporation rate and volume information added. The evaporation rate and volume values were calculated after the Lake Temperature and Evaporation Model (LTEM) using MODIS/VIIRS land surface temperature product and meteorological data from the Global Land Data Assimilation System (GLDAS). Validation results show that the 250 m area classifications from MODIS agree well with the high-resolution classifications from Landsat (R2 = 0.99). Validation of elevation and storage products for twelve Indian reservoirs show good agreement in terms of R2 values (0.71–0.96 for elevation, and 0.79–0.96 for storage) and normalized root-mean-square error (NRMSE) values (5.08–19.34% for elevation, and 6.39–18.77% for storage). The evaporation rate results for two reservoirs (Lake Nasser and Lake Mead) agree well with in situ measurements (R2 values of 0.61 and 0.66, and NRMSE values of 16.25% and 21.76%). Furthermore, preliminary results from the VIIRS reservoir product have shown good consistency with the MODIS based product, confirming the continuity of this 20-year product suite. This new global water reservoir product suite can provide valuable information with regard to water-sources-related studies, applications, management, and hydrological modeling and change analysis such as drought monitoring. View Full-Text
Keywords: reservoir product; area elevation and storage; evaporation rate; evaporation volume; MODIS Terra/Aqua; Suomi-NPP VIIRS reservoir product; area elevation and storage; evaporation rate; evaporation volume; MODIS Terra/Aqua; Suomi-NPP VIIRS
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MDPI and ACS Style

Li, Y.; Zhao, G.; Shah, D.; Zhao, M.; Sarkar, S.; Devadiga, S.; Zhao, B.; Zhang, S.; Gao, H. NASA’s MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data. Remote Sens. 2021, 13, 565. https://doi.org/10.3390/rs13040565

AMA Style

Li Y, Zhao G, Shah D, Zhao M, Sarkar S, Devadiga S, Zhao B, Zhang S, Gao H. NASA’s MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data. Remote Sensing. 2021; 13(4):565. https://doi.org/10.3390/rs13040565

Chicago/Turabian Style

Li, Yao, Gang Zhao, Deep Shah, Maosheng Zhao, Sudipta Sarkar, Sadashiva Devadiga, Bingjie Zhao, Shuai Zhang, and Huilin Gao. 2021. "NASA’s MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data" Remote Sensing 13, no. 4: 565. https://doi.org/10.3390/rs13040565

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