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

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 quality products based on these data are not readily available (e.g., temperature, chlorophyll- a , turbidity, suspended particle matter). Currently, because postprocessing required, only users with expressive experience can exploit data, limiting their utility. Here, we provide paths (recipes) for nonspecialist to access derive products, along examples applications, from sensors board Landsat-5, Landsat-7, Landsat-8, Landsat-9, Sentinel-2A, Sentinel-2B. We emphasize that assured metric success in product derivation assigning uncertainties them is via validation situ data. hope this contribution will motivate nonspecialists use publicly satellite study new processes monitor variety novel received little attention date.