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Recipes for the Derivation of Water Quality Parameters Using the High-Spatial-Resolution Data from Sensors on Board Sentinel-2A,Sentinel-2B,Landsat-5,Landsat-7,Landsat-8,and Landsat-9 Satellites
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作者 Juliana Tavora Binbin Jiang +8 位作者 Thomas Kiffney Guillaume Bourdin Patrick Clifton Gray Lino Sander de Carvalho Gabriel Hesketh Kristin M.Schild luiz faria de sousa Damian CBrady Emmanuel Boss 《Journal of Remote Sensing》 2023年第1期213-230,共18页
Satellites have provided high-resolution(<100 m)water color(i.e.,remote sensing reflectance)and thermal emission imagery of aquatic environments since the early 1980s;however,global operational water quality produc... Satellites have provided high-resolution(<100 m)water color(i.e.,remote sensing reflectance)and thermal emission imagery of aquatic environments since the early 1980s;however,global operational water quality products based on these data are not readily available(e.g.,temperature,chlorophyll-a,turbidity,and suspended particle matter).Currently,because of the postprocessing required,only users with expressive experience can exploit these data,limiting their utility.Here,we provide paths(recipes)for the nonspecialist to access and derive water quality products,along with examples of applications,from sensors on board Landsat-5,Landsat-7,Landsat-8,Landsat-9,Sentinel-2A,and Sentinel-2B.We emphasize that the only assured metric for success in product derivation and the assigning of uncertainties to them is via validation with in situ data.We hope that this contribution will motivate nonspecialists to use publicly available high-resolution satellite data to study new processes and monitor a variety of novel environments that have received little attention to date. 展开更多
关键词 environments SENTINEL Spatial
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