SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 518 papers

TitleStatusHype
Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings—0
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition—0
Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation—0
A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa—0
Probabilistic Machine Learning for Noisy Labels in Earth Observation—0
Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation—0
Towards seamless multi-view scene analysis from satellite to street-level—0
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery—0
Towards Sustainable Satellite Edge Computing—0
QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering—0
Quantum algorithms applied to satellite mission planning for Earth observation—0
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks—0
Quick unsupervised hyperspectral dimensionality reduction for earth observation: a comparison—0
Randomized kernels for large scale Earth observation applications—0
Rapid Adaptation of Earth Observation Foundation Models for Segmentation—0
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
Show:102550
← PrevPage 14 of 21Next →

No leaderboard results yet.