Landsat program
PulseAugur coverage of Landsat program — every cluster mentioning Landsat program across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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Hybrid ML model improves forest height estimation using satellite data
Researchers have developed a hybrid machine learning model that improves forest height estimation by integrating data from TanDEM-X and Landsat satellites. This enhanced model incorporates optical Landsat data to provid…
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新的EO-Gym环境训练AI代理进行交互式地球观测分析
研究人员推出了EO-Gym，这是一个专为地球观测（EO）代理设计的交互式框架。该环境支持多模态分析和工具使用，模拟现实世界中经常涉及扩展感兴趣区域和检索不同传感器历史数据的EO任务。创建了一个包含超过9000个轨迹的基准数据集EO-Gym-Data来评估代理性能，结果显示当前的大型视觉语言模型在交互式EO推理方面存在困难。在EO-Gym-Data上微调Qwen模型显著提高了其在这些任务上的性能。
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Machine learning model maps soil salinity in Bangladesh
Researchers have developed a machine-learning framework to map and predict soil salinity in Satkhira, Bangladesh, using field data and satellite imagery. An Extreme Gradient Boosting model, trained on 205 soil samples, …
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Satellite foundation model Tempov maps wealth and poverty in Africa
Researchers have developed Tempov, a novel satellite foundation model designed to enhance wealth monitoring in low- and middle-income countries. This model, trained using self-supervision on millions of satellite image …
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Explainable ML reveals urban morphology's impact on heat stress beyond LST
Researchers have developed a new framework to analyze the differences between land surface temperature (LST) and human-centric heat stress metrics like the Universal Thermal Climate Index (UTCI). Using machine learning …