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。
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#遥感
《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。
Integrating Satellite Data into Near-Term, Iterative Water Temperature Forecasting Workflows Improves the Scalability of Freshwater Forecasts
将卫星数据同化进FLARE模型，提升无传感器湖泊水温预报的可扩展性。
EarthCARE Commissioning Calibration and Validation Campaign in Ottawa (ECALOT): An Integrated Approach to Multi-level EarthCARE Validation
通过渥太华地区空基与地基联合观测，对EarthCARE卫星L1/L2产品进行校准验证。
GeoWombat: Scalable geospatial and remote sensing analysis in Python
发布开源Python库GeoWombat，实现大规模地理空间栅格数据与遥感分析的一站式处理。
From soil loss to sediment delivery: GeoAI-enhanced RUSLE modeling of erosion and sediment dynamics in a hyper-arid watershed
用GeoAI增强RUSLE与SDR模型，评估沙特超干旱流域土壤侵蚀与泥沙输移空间格局。
Crop Simulation Model: A Digital Tool for Sustainable Water Management in Agriculture
综述作物模拟模型在估算作物需水与灌溉管理中的应用及改进方向。
Multi-grained image-text retrieval in farmland remote sensing via multimodal large language models
提出农田遥感图文跨模态检索任务，构建数据集并提出FarmMGR框架实现语言驱动检索。
Plastic Greenhouse Extraction Based on Index-Guided Three-Stage Large-Factor Remote Sensing Image Super-Resolution Reconstruction
提出APGI引导的三阶段12倍超分框架，从Sentinel-2影像重建塑料大棚结构并提升提取精度。
Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji·9月10日 · 周四66 分 论文农业AI与大模型农业遥感与作物表型阅读 3
A Hybrid Transfer Learning Framework for Seasonal Classification of Satellite Images
提出混合迁移学习框架，用预训练模型提取特征并结合机器学习分类器实现卫星图像季节分类。
Estimating field-scale net ecosystem exchange by coupling high-resolution remote sensing with a crop carbon model
Estimating field-scale net ecosystem exchange by coupling high-resolution remote sensing with a crop carbon model。Agricultural and Forest Meteorology
An Optimized Temporal Attention-based Deep Learning Framwork for Accurate Crop Yield Prediction from Multi-source Agricultural Data
提出TA-ABC-Bi-LSTM模型，用多源农业数据精准预测水稻产量。
Remote sensing, fairness and institutional capacity in European agricultural governance
Remote sensing, fairness and institutional capacity in European agricultural governance。Nature Food
Bridging canopy light interception and absorption: Toward a multi-scale radiometric framework for precision irrigation in woody crops
综述木质作物冠层光截获与吸收关系，提出多尺度辐射框架支撑精准灌溉。
From in situ to remote sensing: a framework for quantifying boundary-condition sensitivity in soil organic carbon models across diverse European sites
提出量化土壤有机碳模型边界条件敏感性的框架，比较遥感替代原位输入的影响。
Considering the allocation of photosynthetic and non-photosynthetic nitrogen to improve the accuracy of radiative transfer model for estimating leaf biochemical traits
区分光合与非光合氮分配，改进辐射传输模型以提升叶片生化参数估算精度。
A source-side trait-mediated framework for dynamic maize yield prediction using UAV multispectral imagery
提出基于无人机多光谱的源端性状中介框架，实现玉米动态产量预测。
Spatial modeling of subsurface soil texture in semi-arid regions: Evaluating pure machine learning against hybrid regression kriging using Sentinel-1 and Sentinel-2 data
用Sentinel-1/2多时相数据结合纯机器学习与回归克里金，制图半干旱区30-40cm土壤质地。