AI RESEARCH
A Dynamic Learning Observatory Reveals the Rapid Salinization of Satkhira, Bangladesh
arXiv CS.LG
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ArXi:2604.23127v1 Announce Type: cross Soil salinity is a major environmental challenge in coastal Bangladesh, threatening agricultural productivity and local livelihoods. This study develops a machine-learning-based framework to predict and map soil salinity in Satkhira district by integrating field observations with Landsat-derived spectral indices. A total of 205 soil samples collected during 2024-2025 were used to train an Extreme Gradient Boosting (XGBoost) model, and predictions were further improved using a Generalized Additive Model.