Flood susceptibility assessment using GIS and an analytical hierarchy process in Ilorin Metropolis, Kwara, Nigeria
用GIS、遥感和AHP评估尼日利亚伊洛林市洪水易发性并制图。
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#遥感
Assessment of bias correction techniques for satellite soil moisture data assimilation in the dry season of Southeastern South America
评估南美干旱季卫星土壤湿度同化中的偏差校正方法，提出基于均质土壤纹理和滑动窗口的改进CDF匹配。
Flood extent mapping using optical remote sensing indices: a case study of the upper Medjerda River basin (Northwestern Tunisia)
Flood extent mapping using optical remote sensing indices: a case study of the upper Medjerda River basin (Northwestern Tunisia)。Acta Geophysica
Dual‐Branch Network With Enhanced Feature Fusion for Improved Rice Classification Accuracy
提出双分支深度学习网络融合时序与辅助数据，提升亚热带水稻分类精度。
HyBEAR: a hyperspectral benchmark for bare soil detection
提出HyBEAR高光谱航空影像基准数据集，用于整田块裸土检测。
Precision agriculture reveals crop-yield footprints associated with distance to natural-seminatural habitats
利用精准农业产量数据揭示向日葵产量随距自然半自然生境距离变化的非线性关系。
Ensemble Machine Learning for Farm-Level Rainfall Forecasting Based on Satellite Observations
基于卫星观测，用集成机器学习为农场尺度做降雨预报。
Improving early season crop type mapping using machine learning algorithms with combined SAR and optical time series
融合Sentinel-1 SAR与Sentinel-2光学时序，用集成机器学习实现印度早季作物类型高
Machine-learning modelling of regional landslide susceptibility in eThekwini, South Africa
用随机森林与支持向量机评估南非eThekwini地区滑坡易发性并分析住房风险。
Cross-Regional Digital Soil Mapping of OpenLandMap-Derived USDA Soil Texture Classes Using Remote Sensing and Machine Learning
用Landsat光谱与地形特征结合集成学习，实现马来西亚与巴基斯坦跨区域USDA土壤质地分类。
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。
GIS, Remote Sensing and Machine Learning Applications for Forest Fire Mapping, Susceptibility Assessment and Risk Analysis: A Systematic Review
GIS, Remote Sensing and Machine Learning Applications for Forest Fire Mapping, Susceptibility Assessment and Risk Analysis: A Systematic Review。Research Square
Road surface material classification from unmanned aerial vehicle red, green, blue and multispectral imagery using spectral features and ensemble machine learning model
用无人机RGB与多光谱影像结合集成机器学习，分类路面材料并验证多光谱与纹理特征的增益。
Zenodo (CERN European Organization for Nuclear Research)·10月5日 · 周一72 分 论文GIS与空间分析智慧农业 / 农业物联网2 个信源同时报道 阅读 0
GIS- and Remote Sensing-Based Identification of Suitable Agricultural Waste Landfill Sites for Climate-Smart Agriculture in Ilorin, Nigeria
用GIS、遥感和多准则决策为尼日利亚Ilorin筛选农业废弃物填埋场适宜选址。
The effect of train-test data splitting ratio on yield prediction from multispectral UAV imagery: effective reduction of training ratio with algorithm selection for single- and multi-date models
研究不同训练-测试数据划分比例对无人机多光谱小麦产量预测的影响，发现可降低训练比例。
Applications of Artificial Intelligence in Soil Characterization and Agriculture: A Systematic Review
系统综述2018-2026年196项AI用于土壤特性与农业的研究。
Impervious Surface Classification Using Artificial Intelligence from Remote Sensing Imagery, Part I: Evaluation of Machine Learning Algorithms
用Landsat与Sentinel-2影像和三种机器学习算法自动分类胡志明市不透水面并监测15年变化
International Journal of Emerging Trends in Engineering and Development·10月2日 · 周五61 分 论文农业AI与大模型农业遥感与作物表型2 个信源同时报道 阅读 2
Comparative Performance of Machine Learning and Deep Learning Algorithms for Agricultural Land Mapping in Anambra State, Nigeria
比较RF、SVM、ANN、CNN在尼日利亚农业用地制图中的表现
A Feature Engineering Framework for High-Precision Land Use and Land Cover Classification Using Remote Sensing Images
提出EODFE-HPLULC框架，结合YOLOv12、EfficientNet-B5和深度信念网络实
Drivers of spatial and temporal heterogeneity in ecosystem functional diversity on the Yamal Peninsula, Siberia, Russia
基于NDVI定义生态系统功能型，分析俄罗斯亚马尔半岛2001-2018年功能多样性的时空异质性驱动因