作者: Adnan Rajib , Qianjin Zheng , Sujay V Kumar , Christopher Hain , Krutikkumar Patel
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摘要: Leveraging remotely sensed Earth observations to estimate freshwater quality has emerged as a primary earth science topic. Recent data products such as AquaSat demonstrate the feasibility of integrating coincident field observations and satellite imagery to improve water quality assessments across large spatial scales. While these efforts are filling long-standing data gaps, limitations persist. For example, estimates derived from Landsat, MODIS, and VIIRS imagery are mostly limited to sediment and chlorophyll a. There is also a spatial scale issue: most of the recent Earth observation-based data are limited to large lakes, rivers, and estuaries, leaving numerous small streams unmonitored. We envision a next-generation National Aeronautics and Space Administration (NASA) water quality mission that can address these limitations. To this end, a recent continental-scale model interoperability initiative …