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Earth Observation

Earth Observation (EO) refers to the use of remote sensing technologies to monitor land, marine (seas, rivers, lakes) and atmosphere. Satellite-based EO relies on the use of satellite-mounted payloads to gather imaging data about the Earth’s characteristics. The images are then processed and analyzed in order to extract different types of information that can serve a very wide range of applications and industries.

Papers

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Showing 311–320 of 518 papers

TitleStatusHype
Over-the-Air Federated Learning in Satellite systems—0
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal—0
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning—0
Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection—0
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks—0
Pest presence prediction using interpretable machine learning—0
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions—0
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction—0
Towards LLM Agents for Earth Observation—0
Physics-Aware Gaussian Processes in Remote Sensing—0
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