Abstract:This study aims to develop an integrated approach of deep learning convolutional neural network (DL-CNN) and Google Earth Engine (GEE) platform for salt storm (ST) modeling and monitoring. First, we selected three ST’s predisposing factors, including Land Surface Temperature (LST), Soil Salinity (SS), and Normalized Difference Vegetation Index (NDVI) to train models. We then collected 957 Ground Control Points (GCPs) from the study area, which randomly divided into training (70%) and validation (30%) datasets.… Show more
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