NASA's MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data
NASA's MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data
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DOI：
10.3390/rs13040565
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发表时间：
2021-02-01
期刊：
影响因子：
5
通讯作者：
Gao, Huilin
中科院分区：
文献类型：
--
作者：
Li, Yao;Zhao, Gang;Gao, Huilin
全球水库信息不仅有利于地方水资源管理，而且还能增进我们对水文循环的了解。这些信息包括水域面积、海拔和储存量;蒸发率和体积值;以及其他特征。然而，在全球范围内缺乏实用的全面水库蓄水和蒸发监测信息。本文介绍了NASA基于中分辨率遥感数据的新一代MODIS/VIIRS全球水库产品套件--中分辨率成像光谱仪（MODIS）和可见光红外成像辐射仪套件（VIIRS）。该产品包括164个大型水库的8天（MxD 28 C2和VNP 28 C2）和每月（MxD 28 C3和VNP 28 C3）测量（MxD代表Terra（MOD）或Aqua（MYD）卫星的产品）。8天产品提供面积、高程和存储值，这些值是通过首先从表面反射率数据中提取水域，然后将面积估计值应用于预先建立的面积-高程（A-E）关系而生成的。然后，这些数值进一步汇总到每月，并添加了蒸发率和体积信息。蒸发率和体积值的计算后，湖温度和蒸发模型（LTEM）使用MODIS/VIIRS陆面温度产品和气象数据从全球陆地数据同化系统（GLDAS）。验证结果表明，250米的面积分类从MODIS同意与高分辨率分类从Landsat（R-2 = 0.99）。12个印度水库的高程和存储产品的验证显示，R-2值（高程为0.71-0.96，存储为0.79-0.96）和归一化均方根误差（NRMSE）值（高程为5.08-19.34%，存储为6.39-18.77%）具有良好的一致性。两个水库（纳赛尔湖和米德湖）的蒸发率结果与现场测量结果吻合良好（R-2值为0.61和0.66，NRMSE值为16.25%和21.76%）。此外，VIIRS储层产品的初步结果显示与基于MODIS的产品具有良好的一致性，证实了该20年产品系列的连续性。这一全新的全球水库产品套件可为水资源相关研究、应用、管理、水文建模和干旱监测等变化分析提供有价值的信息。
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 (R-2 = 0.99). Validation of elevation and storage products for twelve Indian reservoirs show good agreement in terms of R-2 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 (R-2 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.