A new vegetation–thermal integrated approach (NNL-SM) for high-resolution soil moisture estimation
提出NNL-SM模型，融合NDMI、NDVI和LST将SMAP土壤水分从9km降尺度至1km。
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Downscaling of SMAP Soil Moisture Based on the Transformer Algorithm in Anhui Province
基于Transformer及变体融合多源卫星与地下水数据，将SMAP土壤湿度降尺度至1km日尺度。
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Downscaling SMAP Soil Moisture to 1 km with Machine Learning and MODIS Data for Agricultural Drought Assessment in Békés County, Hungary
用机器学习将SMAP土壤水分降尺度至1km，评估匈牙利农业干旱。
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