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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 441–450 of 518 papers

TitleStatusHype
Learning Structures in Earth Observation Data with Gaussian Processes—0
Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation—0
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks—0
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models—0
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations—0
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources—0
Statistical Learning for End-to-End Simulations—0
Physics-Aware Gaussian Processes in Remote Sensing—0
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method—0
Randomized kernels for large scale Earth observation applications—0
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