UNITAR-UNOSAT / UNOSAT-AI-Based-Rapid-Mapping-ServiceLinks
This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.
☆59Updated 2 years ago
Alternatives and similar repositories for UNOSAT-AI-Based-Rapid-Mapping-Service
Users that are interested in UNOSAT-AI-Based-Rapid-Mapping-Service are comparing it to the libraries listed below
Sorting:
- ☆52Updated 2 years ago
- ☆223Updated 4 years ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆108Updated last year
- An LSTM to generate a crop mask for Togo☆30Updated 5 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆81Updated 6 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆101Updated 4 years ago
- Collection of TensorFlow 2.0 code for Earth Observation applications☆94Updated 3 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆44Updated 2 years ago
- GeoPatch is a package for generating patches from remote sensing data☆55Updated 5 months ago
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆48Updated last year
- Python code for the DECODE method and mxnet code for Fractal ResUNet☆52Updated 4 years ago
- A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.☆176Updated 2 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆52Updated last year
- Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication☆108Updated 4 years ago
- a deep model that segments water on multispectral images☆155Updated 2 years ago
- Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"☆110Updated 3 years ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- Crop type mapping of small holder farms in Ghana, and South Sudan☆92Updated 3 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆100Updated 2 years ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆68Updated 5 years ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆194Updated 4 years ago
- ☆36Updated 2 years ago
- Using CNNs and Sentinel-2 satellite data to predict landslides☆97Updated 4 years ago
- Training and deployment of deep learning models for satellite & aerial imagery☆67Updated 5 months ago
- NGA Deep Learning☆28Updated 4 years ago
- ☆58Updated last year
- ☆60Updated last year
- Annual and in-season crop mapping in Kenya☆24Updated 4 years ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆163Updated 2 years ago
- Open source remote sensing dataset with benchmarks☆221Updated last year