AUTOMATIC WATER SURFACE EXTRACTION ALGORITHM FOR LANDSAT7-ETM+ SATELLITE IMAGE OVER COASTAL AND INLAND WATERS
Identifying pixels on the water surface natural water is an important step before applying a specific algorithm to calculate water environment parameters from satellite imagery. A mistake can occur when detecting clouds on turbid water (due to glare) and detecting their shadows on any surface water. Some algorithms exist but their performance is unsatisfactory, especially on turbid waters where cloudless pixels are sometimes classified as clouds or earth, resulting in data loss. This is especially important for the satellite image sensing have high resolution, such as the observations made by the sensor ETM + on Landsat-7, OLI on Landsat-8 or MSI on Sentinel- 2. In this study, we develop a two-step algorithm to extract water pixels (called LS7WiPE) for the Landsat-7 / ETM + sensor based on our experience from the WiPE algorithm for OLI and MSI sensors (Dat et al., 2019).
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