Nonlinear relationships between vegetation dynamics and ecosystem services in the Yangtze River Basin: insights from random forest and GTWR analyzes
用随机森林与GTWR揭示长江流域2000—2020年NDVI与四项生态系统服务的非线性关系。
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#遥感
Spatio-temporal evolution and driving force analysis of carbon storage coupled with PLUS-InVEST-GeoDetector in the Fen River Basin of China
耦合PLUS-InVEST-GeoDetector模拟汾河流域多情景碳储量演变并识别驱动因子。
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三72 分 论文农业AI与大模型数字乡村与农业信息化2 个信源同时报道 阅读 4
Empowering India's Digital Future through Artificial Intelligence in Geography
本文探讨地理空间人工智能（GeoAI）如何推动印度数字治理与可持续发展。
Wheat Nitrogen Fertilizer Management Using GreenSeeker Handheld Crop Canopy Sensor
用GreenSeeker手持冠层传感器NDVI预测小麦产量并优化氮肥管理。
Spatio-temporal characteristics and driving factor identification of precipitation use efficiency: Based on machine learning and SHAP analysis
基于多源遥感与可解释机器学习，揭示东北寒区降水利用效率时空特征及驱动因子。
Genotype-Aware Prediction of Soybean Seed Composition from Multimodal UAV Imagery of the Standing Crop
用无人机多模态影像与基因型数据训练CNN，预测大豆八种种子成分。
Estimation of field-scale crop evapotranspiration from the mechanistic SIF-ET model using the UAV hyperspectral imagery
利用无人机高光谱影像构建田间尺度SIF-ET机理模型，实现作物蒸散发高精度估算。
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三57 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 5
"Bharat @2047: A Geographical Perspective on Sustainable and Inclusive Regional Development"
从地理视角分析印度2047年可持续包容性区域发展，强调因地制宜与GIS遥感支持规划。
WD-CD: a large-scale high-resolution optical remote sensing benchmark for fine-grained change detection in war scenarios
构建了面向战争损毁变化检测的大规模高分辨率双时相光学遥感基准WD-CD。
IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT·9月10日 · 周四0 分 论文智慧农业 / 农业物联网阅读 3
Geospatial Analysis of Topographic and Hydrological Controls on Flood Susceptibility
用GIS、遥感和AHP评估尼日利亚南部地形与水文因子对洪水易发性的影响。
Modeling Water Quality Parameters in Laga Dadi Reservoir, Ethiopia: An Integrated Remote Sensing and Machine Learning Approach
Modeling Water Quality Parameters in Laga Dadi Reservoir, Ethiopia: An Integrated Remote Sensing and Machine Learning Approach。Research Square
Smart Agriculture Optimization in Off-Grid Terrains via Satellite- Coupled Soil Sensing Framework
Smart Agriculture Optimization in Off-Grid Terrains via Satellite- Coupled Soil Sensing Framework。Research Square
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三46 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 3
Uses of Artificial Intelligence In Geography
综述人工智能在地理学中的应用，涵盖GIS、遥感、城市规划、农业与环境监测等。
UAV-based rice nitrogen status monitoring using machine learning and deep learning
UAV-based rice nitrogen status monitoring using machine learning and deep learning。Precision Agriculture
Lightweight nighttime citrus fruit detection in UAV imagery using an enhanced NightNet
提出增强NightNet实现无人机夜间柑橘果实轻量检测。
Predicting plant leaf functional traits using 2D spectral representation and multi-task learning with multi-gate mixture-of-experts
用二维光谱表示与多门混合专家多任务学习预测植物叶片功能性状。
MDPI Remote Sensing 18(18):3107 MODIS NDVI与机器学习作物产量预测比较研究
基于印度州级MODIS NDVI与机器学习比较作物产量预测，随机森林优于梯度提升。
《基于遥感的农作物产量估算综述:机器学习技术及环境、算法和硬件限制》
系统综述遥感估产方法，分类传感器、平台、建模与机器学习，指出深度学习性能最优。
Crop Yield Estimation with MODIS Derived Normalized Difference Vegetation Index and Comparative Study on Crop Yield Prediction Among Linear Regression, Random Forest and Gradient Boosting as Well as CatBoost
用MODIS NDVI与四种回归模型预测印度各邦作物产量，并做全国尺度验证。
A Robust and Efficient Scheme for Real-Time SAR Speckle Noise Reduction based on Attentional Self-Supervised Contrastive Deep Learning
提出RAST-Net，用注意力自监督对比深度学习实现SAR图像实时去斑。