Integrating multi-source data and support vector machine to assess the spatio-temporal pattern of land degradation in the Eastern Cape of South Africa
用Landsat与SVM评估南非Keiskamma流域2005-2025年土地退化时空格局。
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农业遥感 机器学习
Forest encroachment prediction using multi-temporal satellite data and machine learning: a case study of Bandipur National Park, India
用多时相Sentinel-2影像和机器学习预测印度Bandipur国家公园的森林侵占。
Smart Technologies for Precision Nutrient Management in Smallholder Farming: A Comprehensive Review
综述小农户精准养分管理技术，分析其适用性、经济可行性与采纳障碍。
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。
Climate change, vegetation dynamics, and maize production in Mozambique: evidence from method of moments quantile regression and machine learning
研究气候变化与植被动态对莫桑比克玉米生产的影响，采用分位数回归和机器学习方法。
Analysis of crop residue cover in the North China Plain based on multispectral remote sensing and machine learning
提出基于线性光谱混合分析和随机森林的作物残茬覆盖度遥感估算方法，应用于华北平原。