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

نویسندگان

چکیده

Global reservoir information can not only benefit local water management but also improve our understanding of the hydrological cycle. This includes area, elevation, and storage; evaporation rate volume values; other characteristics. However, operational wall-to-wall storage monitoring is lacking on a global scale. Here we introduce NASA’s new MODIS/VIIRS Water Reservoir product suite based moderate resolution remote sensing data—the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Radiometer Suite (VIIRS). consists 8-day (MxD28C2 VNP28C2) monthly (MxD28C3 VNP28C3) measurements for 164 large reservoirs (MxD stands from both Terra (MOD) or Aqua (MYD) satellites). The provides values, which were generated by first extracting areas surface reflectance data then applying area estimations to pre-established Area–Elevation (A–E) relationships. These values further aggregated monthly, with added. calculated after Lake Temperature Evaporation Model (LTEM) using land temperature meteorological Land Data Assimilation System (GLDAS). Validation results show that 250 m classifications MODIS agree well high-resolution Landsat (R2 = 0.99). elevation products twelve Indian good agreement in terms R2 (0.71–0.96 0.79–0.96 storage) normalized root-mean-square error (NRMSE) (5.08–19.34% 6.39–18.77% storage). two (Lake Nasser Mead) situ 0.61 0.66, NRMSE 16.25% 21.76%). Furthermore, preliminary VIIRS have shown consistency product, confirming continuity this 20-year suite. provide valuable regard water-sources-related studies, applications, management, modeling change analysis such as drought monitoring.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13040565