Unraveling nonlinear ecosystem water use efficiency dynamics and environmental drivers across Iran using remote sensing and XGBoost-SHAP
用遥感与XGBoost-SHAP解析伊朗2001-2025年生态系统水分利用效率的非线性动态及驱动因
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#XGBoost NDVI
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提出无监督余弦距离异常检测方法，从无人机RGB-NIR影像中识别树冠损伤。
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Land-use patterns and plant community structure in the peri-urban environs of Lokoja, Kogi state, Nigeria: an integrated field and NDVI assessment, 2015 to 2025
结合野外样方与2015-2025年Landsat 8 NDVI，评估尼日利亚洛科贾城郊土地利用与植物
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Reconstruction of all-weather land surface temperature using XGBoost and spatio-temporal models with multi-source data fusion
提出XGBoost与时空邻接模型融合的全天候地表温度重建框架，生成京津冀1km无缝LST数据集。
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Comprehensive remote sensing and machine learning framework for multi-regional rice yield forecasting under hydroclimatic variability in Sahelian Niger
结合遥感植被指数与机器学习，预测尼日尔萨赫勒四地区2010–2025年水稻产量。
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Spatial and Temporal characteristics and driving force analysis of vegetation cover change in Shanxi Province, China based on kNDVI and XGBoost-SHAP model
基于kNDVI与XGBoost-SHAP分析山西2000-2024年植被覆盖时空变化及驱动机制。
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COMPARATIVE PERFORMANCE OF SENTINEL-2 VEGETATION INDICES FOR ESTIMATING ABOVEGROUND BIOMASS AND CARBON STOCK IN FOREST AREAS
比较六种Sentinel-2植被指数估算泰国森林地上生物量与碳储量的表现。
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Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies
Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies。Sensing and Imaging
农业遥感与作物表型遥感
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