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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
Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSICode0
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data—0
Challenges in data-based geospatial modeling for environmental research and practice—0
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing—0
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection—0
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities—0
Supervised domain adaptation for building extraction from off-nadir aerial images—0
Standardized Analysis Ready (STAR) data cube for high-resolution Flood mapping using Sentinel-1 data—0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning—0
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