ESA-PhiLab / eo4aiLinks
Earth Observation dataset preprocessing tools for Deep Learning
☆39Updated last year
Alternatives and similar repositories for eo4ai
Users that are interested in eo4ai are comparing it to the libraries listed below
Sorting:
- Deep learning for Earth Observation☆54Updated last year
- ☆32Updated 10 months ago
- Rapid map creation with machine learning and earth observation data.☆76Updated 11 months ago
- DeepSentinel: a sentinel-1 and -2 self-supervised sensor fusion model for general purpose semantic embedding☆46Updated 4 years ago
- This repository contains the classification module of the WorldCereal system.☆75Updated this week
- ☆60Updated last year
- Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.☆159Updated last year
- GeoPatch is a package for generating patches from remote sensing data☆55Updated 3 months ago
- Annual and in-season crop mapping in Kenya☆24Updated 4 years ago
- Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board☆55Updated 2 years ago
- Automatically create machine learning datasets from satellite images☆44Updated 3 years ago
- ☆57Updated 2 years ago
- Repo for testing foundation models☆56Updated last year
- Hydro -- A Foundation Model for Water in Satellite Imagery☆57Updated 9 months ago
- Earth observation framework for scaled-up processing in Python☆46Updated 2 months ago
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆57Updated 2 weeks ago
- Starter pack for the AI4Food challenge organised by TUM/DLR, Planet and Radiant Earth☆34Updated 2 years ago
- PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.☆49Updated 6 months ago
- Models for the EarthNet2021 challenge.☆46Updated 2 months ago
- Running Segment Anything Geospatial over Earth Engine exports with Dataflow at scale.☆29Updated 2 years ago
- End-to-end workflow for generating high resolution cropland maps☆109Updated last month
- MapMiner is a powerful tool designed to efficiently extract and process geospatial data from various sources. Leveraging advanced technol…☆45Updated last week
- OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.☆107Updated 2 weeks ago
- Machine learning for satellite image time series☆27Updated 6 years ago
- Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition☆52Updated 2 years ago
- Code and data to support our paper☆81Updated 3 years ago
- Intended for an AMLD 2024 workshop.☆21Updated last year
- Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.☆78Updated 4 years ago
- GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.☆91Updated this week
- ☆68Updated 3 months ago