corentin-dfg / Satellite-Image-Time-Series-DatasetsLinks
This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.
☆301Updated last month
Alternatives and similar repositories for Satellite-Image-Time-Series-Datasets
Users that are interested in Satellite-Image-Time-Series-Datasets are comparing it to the libraries listed below
Sorting:
- Lightweight, Pre-trained Transformers for Remote Sensing Timeseries☆244Updated last month
- SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation☆262Updated last year
- ☆253Updated last month
- Open source remote sensing dataset with benchmarks☆209Updated last year
- Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.☆357Updated last year
- Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities☆155Updated 4 months ago
- A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.☆172Updated last year
- ☆206Updated 3 years ago
- ☆126Updated last year
- This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.☆373Updated 3 months ago
- Towards Robust Evaluation for Geospatial Foundation Models☆221Updated 3 months ago
- ☆249Updated last year
- This repository contains details of the release of the Prithvi-EO-2.0 foundation model.☆145Updated 8 months ago
- Deep learning models for remote sensing applications☆196Updated last year
- ☆211Updated 4 years ago
- The official repository for the EuroCrops dataset.☆202Updated 3 months ago
- TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.☆158Updated this week
- This a repository with the winners' code from the BioMassters challenge☆44Updated 2 years ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆104Updated 11 months ago
- Repo for testing foundation models☆56Updated last year
- A toolkit that enables building damage assessments from remotely sensed imagery.☆136Updated 2 weeks ago
- ☆187Updated 2 years ago
- PyTorch implementation of SatCLIP☆336Updated 5 months ago
- GEO-Bench: Toward Foundation Models for Earth Monitoring☆158Updated 3 months ago
- A PyTorch-based tool to generate clouds for satellite images.☆137Updated last year
- ☆309Updated 10 months ago
- ☆60Updated last year
- ☆171Updated 2 weeks ago
- PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.☆181Updated last year
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆67Updated 2 years ago