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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 471–480 of 518 papers

TitleStatusHype
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI—0
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery—0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset—0
Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing—0
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities—0
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks—0
Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping—0
A Perspective on Gaussian Processes for Earth Observation—0
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