Spatial Heterogeneity and Nonlinear Environmental Associations of Positive Climatic Moisture Deficit with Implications for Sustainable Water Resource Assessment: A Case Study of Anyang
以安阳为例，用XGBoost-SHAP分析2000—2020年气候水分亏缺的空间异质性及其环境关联。
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农业遥感 机器学习
International Journal of Engineering Research and Science & Technology·10月8日 · 周四77 分 论文智慧农业 / 农业物联网阅读 0
CONNECTING FLOODWATER, RAINFALL AND RESERVOIR DATA TO INTELLIGENT WATER REDISTRIBUTION FOR DROUGHT-RESILIENT RESOURCE MANAGEMENT - (AQUA RESCUE)
构建Aqua Rescue数据管道与决策系统，将洪水、降雨和水库数据整合，优化调水以缓解干旱。
Integrated machine learning and AHP-based framework for spatial delineation of rainwater harvesting potential
结合GIS、AHP与多种机器学习算法，划分印度斋浦尔半干旱区雨水收集适宜性分区。
Evaluating Reference Evapotranspiration and Soil Moisture as Predictors for Machine Learning-Based Actual Evapotranspiration Estimation: Model Performance and Explainability
评估ET0与土壤湿度对机器学习估算实际蒸散的影响及可解释性。
A stocktake of opportunities and knowledge gaps in advancing digital agriculture in Quebec
系统盘点魁北克数字农业技术应用及其对可持续发展的贡献与知识空白。
GIS and Machine Learning Framework for Landslide Susceptibility Mapping: A Raster-Based Approach
提出GIS集成、基于栅格像元的机器学习框架，生成连续滑坡易发性图。
Research on the optimal modeling path for inversion of Pb content in rice leaves based on hyperspectral data of ground objects and machine learning and cross-scale remote sensing monitoring
研究基于地面高光谱与机器学习反演水稻叶片铅含量，并探索跨尺度遥感监测的最优建模路径。
Non-destructive nitrogen estimation in pastures from UAV multispectral imagery using a heterogeneity-driven machine-learning framework
Non-destructive nitrogen estimation in pastures from UAV multispectral imagery using a heterogeneity-driven machine-learning framework。Precision Agriculture
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。
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。