Development of the Potential Evapotranspiration-Vegetation-Precipitation Drought Index (PETVPDI) and Its Application in West Africa Using Remote Sensing Datasets
构建融合蒸散、植被与降水的复合干旱指数PETVPDI，并用于西非2001—2022年干旱监测。
数字农业与前沿技术
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Land Use Change, Flood Exposure, and Vegetation Stress in the Chi River Basin, Northeast Thailand: A Multi-Temporal Remote Sensing and Machine Learning Assessment
用多时相遥感和机器学习评估泰国栖河流域土地利用变化、洪水暴露与植被胁迫的关系。
Horticulture acreage estimation: remote sensing vis-a-vis sample surveys
对比卫星遥感与入户调查的园艺作物面积估算，评估分类算法精度与面积一致性。
A multimodal deep learning for rice crop health monitoring using vegetation index feature selection
融合Sentinel-1/2植被指数与气象数据，用多模态深度学习监测水稻健康。
Artificial intelligence driven framework for enhancing sustainability and resilience in communal cattle insurance in Lupane District Zimbabwe
研究提出AI驱动的三模块框架，以提升津巴布韦Lupane地区社区牛保险的可持续性和韧性。
Article topic: comprehensive assessment of soil and flora contamination by heavy metals in the zone of influence of the Nikolaevskaya enrichment plant
综合遥感、土壤采样与植被调查，评估哈萨克斯坦一选矿厂影响区40年重金属污染与生态退化。
An Index-Based Algorithm for Detecting Water Soil Erosion Indicators from Sentinel-2 Multispectral Data and Its Verification on Field Data of Rostov Oblast and Krasnodar Krai
开发基于Sentinel-2时序NDVI与BSI指数的水土流失指标检测算法，并在俄罗斯南部实地验证。
Evaluating When and Where TROPOMI XCH4 Uncertainties Yield Consistent Flux Estimation over East, South, and Central Asia
用500组扰动实验评估TROPOMI XCH4在亚洲三区甲烷通量估算的可靠性。
Agricultural Flood Damage Assessment: A Systematic Review of Methods, Coverage, and Integration Gaps
系统综述65项农业洪水损失评估研究，揭示方法仅覆盖直接即时损失的结构性偏差。
Monitoring growth and ground cover of turfgrass germplasm using a UAV-mounted multispectral sensor in a ground-based system
用无人机多光谱监测526份草坪草种质，结合多时相性状与多准则筛选优良品系。
A semi-supervised multi-sensor remote sensing pipeline for mapping irrigation dynamics in ground-truth deficient conflict zones: a case study of the Kakhovka Dam failure
用半监督多源遥感监测卡霍夫卡大坝被毁后灌溉面积从战前18.8万公顷降至2025年0.58万公顷。
Journal of Geography Environment and Earth Science International·10月5日 · 周一69 分 论文数字农业与前沿技术农业遥感与作物表型阅读 1
Identification of Cultivable Wastelands in Meghalaya, India using Geospatial Technology for Agricultural Reclamation
利用遥感与GIS识别印度梅加拉亚邦可耕荒地并评估其农业复垦潜力。
Zenodo (CERN European Organization for Nuclear Research)·10月31日 · 周六45 分 论文数字农业与前沿技术农业遥感与作物表型2 个信源同时报道 阅读 0
A Comparative Geographical Analysis of Land Use Patterns in Akrani and Nandurbar Tehsils of Nandurbar District
对比分析印度Nandurbar县Akrani与Nandurbar两个乡的土地利用格局差异。
BIG DATA IN AGRONOMY: TECHNOLOGIES, APPLICATIONS, BENEFITS AND CHALLENGES
综述农学大数据的技术、应用、效益与挑战，强调多源数据融合支撑精准农业决策。
The Changing Landscape of Plant Disease Detection: The Role of Artificial Intelligence
综述AI在植物病害检测中的应用，涵盖分类、检测、分割及早期诊断，并指出田间部署的瓶颈与新兴方向。
Machine learning reveals distinct drivers of soil organic carbon across the mountain-oasis-desert system of northwest China
构建基于生态系统的机器学习框架，预测西北荒漠-绿洲-山地系统土壤有机碳并识别各子系统驱动因子。
Zenodo (CERN European Organization for Nuclear Research)·10月3日 · 周六58 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 4
A Comprehensive Review Of Image Processing Techniques: Classical Methods, Deep Learning, Applications, And Recent Advances
综述图像处理从经典方法到深度学习的技术演进、应用与挑战。
Construction of Methodology for Mapping Fish Farming in the Legal Amazon
利用遥感与地理技术绘制巴西亚马逊法定区三个市镇的鱼塘空间分布图。
Cambios en el uso y cobertura de la tierra y su relación con la temperatura superficial terrestre en la cuenca del río Rocha, Bolivia, 1992–2022
分析玻利维亚罗查河流域1992-2022年土地利用变化与地表温度的关系。
Integrating multi-sensor optical and SAR data with machine learning ensembles for chickpea area estimation in the Krishna zone of Andhra Pradesh
融合光学与SAR多时相数据，用机器学习集成分类器估算安得拉邦鹰嘴豆种植面积。