Machine Learning-Based Assessment of Land-Use Change, Forest Recovery, and Landscape Connectivity in Islamabad
利用机器学习评估伊斯兰堡1991-2021年土地利用变化、森林恢复及景观连通性。
数字农业与前沿技术
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Direct estimation of wildfire emissions at high latitudes from combined polar orbiter FRP and Sentinel-5P CO data
提出基于卫星观测的高纬度火灾排放估算方法HLFREM，直接关联辐射能与CO排放。
VGG21 Deep Learning + Drone Multispectral Imagery Detects Wheat Waterlogging Stress and Silicon Fertilizer Effects
用无人机多光谱和VGG21深度学习检测小麦涝害并评估硅肥效果。
DMP-UNet: a multimodal fusion network for high-precision nitrogen status monitoring in wheat from UAV multispectral images
提出多模态融合网络DMP-UNet，利用无人机多光谱图像高精度监测小麦氮素水平。
International Journal for Research in Applied Science and Engineering Technology·9月3日 · 周四49 分 论文GIS与空间分析农业遥感与作物表型阅读 1
Random Forest-Based Groundwater Potential Zone Mapping in Latur District, Maharashtra, India
利用随机森林结合遥感与GIS绘制印度Latur地区地下水潜力图。
A Biome-Specific Light Use Efficiency Model for Spatiotemporal Dynamics of GPP Across Europe Using PROBA-V and Sentinel-3 FAPAR
利用PROBA-V和Sentinel-3的FAPAR数据，开发了欧洲生物群系特异的LUE模型EU-G
Advanced Remote Sensing and AI Techniques in Agriculture and Forestry
综述遥感和AI在农林领域的先进技术及其应用。
Urban Land Use/Land Cover Change Dynamics using RS and GIS Techniques in Addis Ababa City, Ethiopia
利用遥感和GIS技术分析埃塞俄比亚亚的斯亚贝巴30年土地利用/覆盖变化。
Super-Resolution-Assisted Farmland Boundary Extraction from Medium-Resolution Satellite Image: A Real-ESRGAN and YOLO Segmentation Framework
提出结合Real-ESRGAN超分辨率和YOLO分割的农田边界提取框架，提升中分辨率卫星影像识别精度
International Research Journal of Modernization in Engineering Technology and Science·9月3日 · 周四73 分 论文物联网传感与边缘计算智慧农业 / 农业物联网阅读 1
AGRITWIN AI: A DIGITAL TWIN AND MULTIMODAL EXPLAINABLE AI FRAMEWORK FOR PRECISION AGRICULTURE USING SATELLITE IMAGERY, IOT SENSORS, WEATHER INTELLIGENCE, LARGE LANGUAGE MODELS, AND RETRIEVAL-AUGMENTED GENERATION
提出 AgriTwin AI 框架，融合数字孪生与多模态可解释 AI，弥合农业数据与认知鸿沟。
Continual Learning Model Evaluation for Hyperspectral-Based Tomato Bacterial Spot Detection in Greenhouse
评估持续学习框架用于温室高光谱番茄细菌性斑点病冠层检测。
Zenodo (CERN European Organization for Nuclear Research)·9月2日 · 周三67 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 3
Deep Learning Based Semantic Segmentation of Satellite Imagery for Land Cover Classification
综述深度学习用于卫星影像土地覆盖分类的语义分割方法，并分析挑战与未来方向。
Hydrological impacts of land use and land cover change on the width of Bua River, Nkhotakota district, Malawi
利用遥感和GIS分析马拉维Bua河流域土地利用变化对河宽的影响，发现人类活动导致河宽增加。
Estimation of Agricultural Vegetation Water Stress Using Feature-Optimized Remote Sensing and Ensemble Machine Learning
Estimation of Agricultural Vegetation Water Stress Using Feature-Optimized Remote Sensing and Ensemble Machine Learning。Smart Agricultural Technology
Full-season wheat phenotyping using UAV-based multi-source remote sensing: dynamic time-series modeling and high-throughput trait extraction
利用无人机多源遥感进行全季节小麦表型分析，通过动态时间序列建模提取高通量性状。
Remote Sensing Change Detection using ArcGIS: A Comparative Study Of Methods Applied to Urban Expansion in Baghdad City
比较三种遥感变化检测方法在ArcGIS中监测巴格达城市扩张的应用。
An Improved Transformer-KAN Model for Soybean Mapping Based on Multi-Temporal Remote Sensing Data
提出改进的Transformer-KAN模型，基于多时相遥感数据实现高精度、可迁移的大豆种植区制图。
A dictionary-based method for crop yield prediction using satellite remote sensing data
提出基于HYDRA字典方法的机器学习框架，结合物候特征预测玉米产量。
Quantifying Urban Expansion and Its Association with Agricultural Land Loss in Busasamana Sector, Nyanza District, Rwanda (2010–2024): A GIS and Remote Sensing Assessment
利用GIS和遥感量化卢旺达2010-2024年城市扩张及其与农业用地流失的关系。
Hyperspectral Imaging for Disease Detection in Wheat Crops: A Comprehensive Survey
综述高光谱成像在小麦病害检测中的应用，涵盖方法、挑战与未来方向。