nasaharvest / doraLinks
Domain-agnostic Outlier Ranking Algorithms (DORA) - SMD cross-divisional use case demonstration of AI/ML
☆13Updated 6 months ago
Alternatives and similar repositories for dora
Users that are interested in dora are comparing it to the libraries listed below
Sorting:
- Pytorch dataloader and pytorch lightning datamodule for Earth Observation imagery☆15Updated 3 years ago
- Shoreline extraction via generative adversarial networks, prediction via LSTMs☆27Updated 2 years ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed el…☆45Updated 3 years ago
- Official code for 🔥 Unsupervised Wildfire Change Detection based on Contrastive Learning 🔥☆21Updated 2 years ago
- ☆12Updated 3 weeks ago
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆14Updated 3 years ago
- This repository contains the files for running the Patchify GUI.☆11Updated 4 years ago
- Satellite imagery treatment pipeline : band combination, pansharpening & mosaicing.☆16Updated 2 years ago
- Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board☆56Updated 2 years ago
- For shallow-water Lagrangian particle routing.☆64Updated this week
- EnMAP Processing Tool - A Python package for pre-processing of EnMAP Level-1B data☆18Updated last week
- This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution☆37Updated 3 years ago
- Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery☆68Updated 2 years ago
- Learning to predict crop type from heterogeneous sparse labels using meta-learning☆20Updated 4 years ago
- An open and accessible datacube for environmental and earth system monitoring☆36Updated last year
- The official repository for the paper "Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters"☆19Updated 8 months ago
- A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.☆19Updated last year
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆31Updated last year
- Official implementation of "An interpretation pipeline towards understanding multi-temporal deep learning approaches for crop mapping".☆21Updated 4 years ago
- PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.☆49Updated 9 months ago
- Annual and in-season crop mapping in Kenya☆24Updated 4 years ago
- Tools for atmospheric research☆63Updated last year
- Global Ocean Emulator☆20Updated 10 months ago
- Lightweight Python application for sorting images in your dataset☆21Updated 3 years ago
- A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitori…☆21Updated 3 years ago
- ☆17Updated 2 years ago
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆16Updated 2 months ago
- Codes and data for Unmixing☆54Updated last year
- Repository for IBM weather downscaling model☆45Updated 4 months ago