CAFF-Net for coupled eco-health prediction of urban green space and water body with multi-source remote sensing
提出CAFF-Net，用多源遥感数据耦合预测城市绿地和水体生态健康。
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关键词 · 相关资讯与研究
#遥感
沿着“遥感”继续探索，共 439 条内容。
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。
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AI Drones Unlock Hidden Avocado & Hazelnut Secrets（Information Processing in Agriculture）
开发基于AI的无人机系统，用无监督算法从航拍图像估算果树高度和冠层体积。
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Urbanization-driven thermal changes: a remote sensing approach to land surface temperature (LST) and land use land cover (LULC) dynamics in Guwahati, Assam, India
利用遥感分析印度古瓦哈提城市化对地表温度与土地利用变化的影响。
农业遥感与作物表型遥感
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Integrating remote sensing and machine learning for forest fire susceptibility mapping in Peninsular Malaysia: the spatio-temporal sampling tree (STS-T)
提出时空采样树算法STS-T，用于马来西亚半岛森林火灾易发性制图，兼顾精度与可解释性。
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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。
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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。
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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
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Multiscale analysis of satellite-derived climatic parameters over Himalayan foothills in view of climate change scenarios
利用多尺度事件同步等方法分析喜马拉雅山麓2001-2022年气候参数变化及其关联。
农业遥感与作物表型遥感
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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。
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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。
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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
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Improving smallholder representation in crop maps
改进遥感作物制图以更好识别小农户农田，以巴拉圭为例。
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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。
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Integrating proximal soil sensing and Sentinel-1/2 remote sensing for management zone delineation and monitoring of variable-rate nitrogen fertilization in winter barley
Integrating proximal soil sensing and Sentinel-1/2 remote sensing for management zone delineation and monitoring of variable-rate nitrogen fertilization in winter barley。Smart Agricultural Technology
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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。
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Physiology-Informed Hyperspectral Retrieval of Leaf Vcmax across Wheat and Maize
Physiology-Informed Hyperspectral Retrieval of Leaf Vcmax across Wheat and Maize。Smart Agricultural Technology
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Pre-symptomatic detection of late blight in potatoes using field spectroscopy and backpropagation neural networks
利用田间光谱和BP神经网络在马铃薯晚疫病症状出现前进行检测。
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A physics-guided hybrid framework for peanut nitrogen monitoring (Computers and Electronics in Agriculture)
提出物理-数据融合框架POSNH，用于花生冠层氮素含量遥感监测，降低样本依赖并提高泛化能力。
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Spatiotemporal Variations of NDVI and Their Responses to Climate Change and Human Activities in Guizhou, China (2000-2020)
利用30米分辨率Landsat NDVI数据，分析贵州2000-2020年植被时空变化及其对气候和人
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