Mapping groundwater potential zones using GIS, remote sensing and analytical hierarchy process (AHP) in Pader and Kitgum Districts, Uganda
用GIS、遥感和AHP制图评估乌干达两区地下水潜力并验证。
数字农业与前沿技术
浏览数字农业与前沿技术相关政策、产业动态与研究。
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Beyond site-specific archaeological prospection: Spectral-geometry reveals cross-site cropmark signals in satellite data
用Sentinel-2多光谱数据证明作物标记模型可跨遗址迁移，且迁移性由光谱几何相似性决定。
Study of Territories Using Geoinformatics and Remote Sensing Technologies: Spectral Band Combinations Based on Sentinel-2 Data (A Case Study of Parkent District)
基于Sentinel-2数据比较NIR-RED-GREEN与SWIR-NIR-GREEN波段组合，用
Scalable, cloud-native decision support system for Variable Rate Application (VRA) based on multi-year NDRE time series in arable precision agriculture
构建云原生决策支持系统，用多年NDRE时序自动生成精准农业变量施肥/播种处方图。
SAMWater: a prompt-guided multimodal framework for transferable water mapping with the segment anything model
提出SAMWater，用提示引导多模态基础模型实现可迁移地表水制图。
Geospatial Analysis of Climate-Driven Landscape Change and Urban Expansion: Assessing Human–Environment Interactions, Resource Pressure, and Sustainable Spatial Planning
基于Landsat遥感分析德里首都区2003-2023年土地利用变化、地表温度与城市扩张，评估资源压
Seasonal compatibility of RGB and multispectral vegetation indices in Amazon Cacao
评估RGB与多光谱植被指数在亚马逊可可园的季节性兼容性，以低成本监测替代多光谱传感器。
Integrated multi-criteria decision analysis and bivariate statistical modeling for landslide susceptibility zonation in the northwestern Ethiopian highlands
用GIS与遥感结合FR和AHP模型，对埃塞俄比亚高原滑坡易发性进行分区制图与验证。
An Efficient Parcel-Center Sampling Strategy for Parcel-Scale Crop Classification Using Multiresolution Remote Sensing
提出地块中心采样策略，用单像素或局部窗口构建地块级特征，大幅加速地块尺度作物分类。
Knowledge Distillation for Hybrid CNN–Vision Transformer Architectures: A Systematic Review
系统综述2015-2026年混合CNN-ViT架构的知识蒸馏方法，按迁移方向、知识类型和应用领域分类
International Journal of African Research Sustainability Studies·10月8日 · 周四0 分 论文GIS与空间分析农业遥感与作物表型阅读 0
TOPOGRAPHIC MAP AS A FUNDAMENTAL TOOL FOR PHYSICAL PLANNING AND SUSTAINABLE NATIONAL DEVELOPMENT
综述地形图作为空间规划与可持续发展基础工具的作用及现代化技术整合。
Application of Deep Learning Techniques for Vineyard Mapping and Characterization Using Multispectral UAV Imagery: A Case Study from Northern Greece
用多光谱无人机影像和深度学习实现葡萄园制图与冠层特征提取。
FUSING DEEP LEARNING AND REMOTE SENSING DATA TO ESTIMATE NON-OPTICALLY ACTIVE WATER QUALITY VARIABLES
融合深度学习与遥感及实地数据，估算湖泊非光学活性水质变量（溶解氧和pH）。
Integrating UAV-Based Remote Sensing and Deep Learning for Early Detection of Bacterial Leaf Blight in Rice
Integrating UAV-Based Remote Sensing and Deep Learning for Early Detection of Bacterial Leaf Blight in Rice。Research Square
A SwiGLU enhanced ConvNeXt framework for multispectral Sentinel-2 land use and land cover classification
提出SwiGLU增强的ConvNeXt框架，融合多光谱波段与指数集成分类Sentinel-2土地利用
Zenodo (CERN European Organization for Nuclear Research)·10月8日 · 周四64 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
INTEGRATING "SMART AGRICULTURE" TECHNOLOGIES INTO THE EDUCATIONAL PROCESS IN AGRICULTURAL EDUCATION
探讨将智慧农业技术融入高等农业教育，作为学生解决实际农艺问题的教学工具。
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。
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。