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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

Showing 125 of 518 papers

TitleStatusHype
PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing ImageryCode5
TerraTorch: The Geospatial Foundation Models ToolkitCode4
SSL4EO-L: Datasets and Foundation Models for Landsat ImageryCode4
PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation ModelsCode3
Major TOM: Expandable Datasets for Earth ObservationCode3
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation ApplicationsCode3
RemoteSAM: Towards Segment Anything for Earth ObservationCode3
SARATR-X: Toward Building A Foundation Model for SAR Target RecognitionCode3
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responseCode3
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
NUDT4MSTAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the WildCode2
Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation DataCode2
OmniSat: Self-Supervised Modality Fusion for Earth ObservationCode2
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation LearningCode2
Neural Plasticity-Inspired Multimodal Foundation Model for Earth ObservationCode2
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type MonitoringCode2
Foundation Models for Remote Sensing and Earth Observation: A SurveyCode2
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern AnalysisCode2
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation FrameworkCode2
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object RecognitionCode2
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language InterpretationCode2
Earthformer: Exploring Space-Time Transformers for Earth System ForecastingCode2
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based MappingCode2
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