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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 341–350 of 518 papers

TitleStatusHype
Reducing Uncertainties of a Chained Hydrologic-hydraulic Model to Improve Flood Forecasting Using Multi-source Earth Observation Data—0
Regression in EO: Are VLMs Up to the Challenge?—0
A General Purpose Neural Architecture for Geospatial Systems—0
Training-free AI for Earth Observation Change Detection using Physics Aware Neuromorphic Networks—0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation—0
Responsible AI for Earth Observation—0
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method—0
RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation—0
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields—0
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