Landsat program
PulseAugur coverage of Landsat program — every cluster mentioning Landsat program across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Hybrid ML model improves forest height estimation using satellite data
Researchers have developed a hybrid machine learning model that integrates optical Landsat data with existing TanDEM-X interferometric measurements to improve forest height estimation. This enhanced model addresses ambi…
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New EO-Gym environment trains AI agents for interactive Earth Observation analysis
Researchers have introduced EO-Gym, an interactive framework designed for Earth Observation (EO) agents. This environment supports multimodal analysis and tool usage, simulating real-world EO tasks that often involve ex…
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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 …