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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 126–150 of 518 papers

TitleStatusHype
Ben-ge: Extending BigEarthNet with Geographical and Environmental DataCode1
Explainable Earth Surface Forecasting under Extreme EventsCode1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation ImageryCode1
EarthPT: a time series foundation model for Earth ObservationCode1
Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the CaribbeanCode1
High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation DataCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
Deep Random Features for Scalable Interpolation of Spatiotemporal DataCode1
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fieldsCode1
Generate Your Own Scotland: Satellite Image Generation Conditioned on MapsCode1
Disentangling Derivatives, Uncertainty and Error in Gaussian Process ModelsCode1
Deep learning approaches to Earth Observation change detection—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion—0
Automatic image annotation : the case of deforestation—0
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis—0
Automatic Census of Mussel Platforms Using Sentinel 2 Images—0
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing—0
Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia—0
Automated National Urban Map Extraction—0
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