mnpinto / FireHRLinks
☆43Updated 2 years ago
Alternatives and similar repositories for FireHR
Users that are interested in FireHR are comparing it to the libraries listed below
Sorting:
- Machine Learning for Earth Observation Training of Trainers Bootcamp☆101Updated 3 years ago
- End-to-end workflow for generating high resolution cropland maps☆108Updated last month
- ☆52Updated last year
- A collection of 300+ examples for using Earth Engine and the geemap Python package☆137Updated 5 years ago
- Remote sensing with Python tutorials☆50Updated 5 years ago
- Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://t…☆50Updated 3 years ago
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆45Updated last year
- ☆68Updated 3 weeks ago
- Annual and in-season crop mapping in Kenya☆24Updated 4 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆98Updated 4 years ago
- Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which cor…☆85Updated 11 months ago
- A Python package for Remote Sensing Data Analysis☆126Updated 9 months ago
- Image segmentations of trees outside forest☆168Updated 7 months ago
- Rapid map creation with machine learning and earth observation data.☆76Updated 8 months ago
- Remote Sensing and GIS Software Library; python module tools for processing spatial data.☆156Updated 3 weeks ago
- ☆32Updated 7 months ago
- All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A s…☆72Updated 4 years ago
- Deep learning for Earth Observation☆54Updated last year
- Deep learning courses and projects☆95Updated 6 years ago
- Python scripts for deploying Earth Engine Apps to heroku☆26Updated last year
- An ecosystem of data, models and code pipelines to tackle flooding with ML🌊