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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 201–250 of 518 papers

TitleStatusHype
Early Flood Warning Using Satellite-Derived Convective System and Precipitation Data -- A Retrospective Case Study of Central Vietnam—0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerCode0
A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa—0
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning—0
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1—0
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer ModelCode0
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image SegmentationCode1
Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks—0
Quick unsupervised hyperspectral dimensionality reduction for earth observation: a comparison—0
Major TOM: Expandable Datasets for Earth ObservationCode3
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation ModelsCode1
ViGEO: an Assessment of Vision GNNs in Earth ObservationCode0
Solid Waste Detection, Monitoring and Mapping in Remote Sensing Images: A Survey—0
Large Language Models for Captioning and Retrieving Remote Sensing Images—0
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal—0
DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based MappingCode2
QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering—0
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation dataCode0
A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Data—0
Globally Scalable Glacier Mapping by Deep Learning Matches Expert Delineation AccuracyCode1
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar dataCode0
Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictionCode1
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation—0
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images—0
Mapping Housing Stock Characteristics from Drone Images for Climate Resilience in the Caribbean—0
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
SeasFire as a Multivariate Earth System Datacube for Wildfire DynamicsCode0
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
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing—0
Challenges in data-based geospatial modeling for environmental research and practice—0
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection—0
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities—0
Standardized Analysis Ready (STAR) data cube for high-resolution Flood mapping using Sentinel-1 data—0
Supervised domain adaptation for building extraction from off-nadir aerial images—0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning—0
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation—0
Foundation Models for Generalist Geospatial Artificial IntelligenceCode0
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing ImagesCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
Transformer-based Multimodal Change Detection with Multitask Consistency ConstraintsCode1
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