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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 431–440 of 518 papers

TitleStatusHype
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework—0
Deep Learning for Satellite Image Time Series Analysis: A Review—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review—0
Deep Learning Methods for Daily Wildfire Danger Forecasting—0
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images—0
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Solid Waste Detection, Monitoring and Mapping in Remote Sensing Images: A Survey—0
Spacecraft design optimisation for demise and survivability—0
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