MACHINE LEARNING BASED PREDICTION OF HYDROGEOLOGICAL PARAMETERS AND GROUNDWATER POTENTIAL INDEX USING GEOSPATIAL AND BOREHOLE DATA
提出融合地理空间与钻孔数据的机器学习框架，预测水文地质参数与地下水潜力指数。
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机器学习 土壤 遥感
Synergistic Use of Multitemporal SAR and Optical Data with Random Forest Approach for Rice Mapping in Bangladesh
融合Sentinel-1 SAR与Sentinel-2光学影像，用随机森林在GEE上绘制孟加拉国Bo
Spatial Modeling of Topsoil Total Carbon and Texture from Spectral Characteristics of Bare Soil Surface Images of Landsat 5/8 Using Machine Learning
用Landsat 5/8裸土光谱指数识别裸土并机器学习建模表层土壤质地与全碳。
Groundwater Potential Mapping in Northwestern Nigeria: A Comparison of the Analytic Hierarchy Process and Galileo-Enhanced CAT-XGB
对比专家驱动AHP与遥感基础模型增强的CAT-XGB集成，用于尼日利亚西北部地下水潜力制图。
Precision Agriculture in Maize Production Systematic Review 2026·10月9日 · 周五74 分 论文玉米智慧农业 / 农业物联网阅读 2
玉米生产精准农业系统综述：技术、应用与产量优化（2020—2026）
系统综述2020—2026年玉米精准农业技术、应用与产量优化研究。
Evaluation of risk scenarios in Ecuador using Visible Infrared Imaging Radiometer Suite remote sensing, ERA5-Land climate data, and XGBoost
结合VIIRS热异常、ERA5-Land气象数据与XGBoost，构建厄瓜多尔5公里分辨率森林火灾风
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。
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
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 machine learning framework for predicting potential urban cool island locations using Landsat 9 data: a case study of Oued Zenati, Algeria
用遥感与可解释机器学习预测阿尔及利亚半干旱城市潜在城市冷岛位置。
Hyperspectral inversion of soil total nitrogen content using spectral and machine learning
用高光谱与机器学习反演陕北农牧交错带农田土壤全氮含量。
Species identification of crops and weeds in wheat fields using hyperspectral data and machine learning algorithms
利用高光谱数据与随机森林识别哈萨克斯坦东北部麦田作物与杂草，并分析误判的生物学原因。
Journal of Geography Environment and Earth Science International·9月25日 · 周五67 分 论文遥感与农情监测农业遥感与作物表型阅读 4
Spatial Estimation of Carbon Sequestration Using Remote Sensing and Its Application in Carbon-credit Assessment: A Comprehensive Review
综述遥感碳储量估算技术及其在碳信用评估中的应用与挑战。
Rice Cropping Pattern Mapping Using GEE-Based Sentinel-1/2 Time-Series Imagery and Machine Learning
基于GEE融合Sentinel-1/2时序与地形特征，用机器学习高精度制图长三角水稻种植模式。
Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India
用机器学习与遥感分析印度库鲁区1991-2022年土地利用变化及其对地表温度的影响。
Yield ranking of spring wheat breeding lines absent from model training within two contrasting seasons in northern Kazakhstan
评估春小麦育种品系产量模型在未参与训练品系上的跨季预测能力。