Integrated use of remote sensing techniques and machine learning in assessing soil salinity: current approaches, methods, and future perspectives
综述遥感与机器学习融合评估土壤盐渍化的方法、局限与未来方向。
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Mapping soil salinization in the Shirvan plain based on Sentinel-2 data
基于Sentinel-2与DEM、SAR数据，用机器学习反演阿塞拜疆Shirvan平原土壤盐渍化。
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Synergistic Multi-Source Remote Sensing and Machine Learning for Regional-Scale Soil Salinity Retrieval in the Hyper-Arid Tarim River Basin
融合多源遥感与机器学习，实现塔里木河流域区域尺度土壤盐分反演。
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UAV无人机高光谱图像土壤盐度制图(湿度校正)——MDPI Agronomy
用无人机高光谱结合Stacking集成模型实现湿度干扰下的土壤盐度制图。
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