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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
Satellite Image Search in AgoraEO—0
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution—0
Noise-Adaptive Intelligent Programmable Meta-Imager—0
Deep learning for satellite image forecasting of vegetation greennessCode1
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping—0
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationCode2
Earthformer: Exploring Space-Time Transformers for Earth System ForecastingCode2
Three multi-objective memtic algorithms for observation scheduling problem of active-imaging AEOS—0
Multi-strip observation scheduling problem for ac-tive-imaging agile earth observation satellites—0
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