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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 231–240 of 518 papers

TitleStatusHype
Better, Not Just More: Data-Centric Machine Learning for Earth Observation—0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms—0
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping ParametersCode1
Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSICode0
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data—0
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial LocalizationCode1
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
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