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LARGE-SCALE FLOOD DETECTION IN THE PEARL RIVER BASIN BASED ON GEE AND TIME-SERIES SENTINEL-1 SAR IMAGES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Due to its wide scope, rapid development and high hazard, remote sensing images with a single time phase and local area coverage cannot meet the needs of large-scale flood detection. The problem of large-scale flooding emergency detection can be well solved by using Google Earth Engine (GEE) platform, which has the characteristics of fast data computing speed, easy image retrieval and rich remote sensing data. In this paper, we propose a method for flood detection using Sentienl-1doi:10.5194/isprs-archives-xlviii-3-w1-2022-87-2022 fatcat:w6ie2qfclbejdl4tnhneqx3ywq