Stars
We presented our initial model for detecting rivers and watersheds from satellite pictures in this study, which was based on image processing methodology. The methodology was tested on a set of ima…
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
A deep learning model for surface water mapping based on satellite optical image.
This projects track changes in water level using satellite imagery and deep learning.
Techniques for deep learning with satellite & aerial imagery
A series of Jupyter notebook to learn Google Earth Engine with Python
Python and JavaScript bindings for calling the Earth Engine API.
giswqs / deep-water-map
Forked from isikdogan/deepwatermapa deep model that segments water on multispectral images
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
a deep model that segments water on multispectral images
Satellite Image Classification using semantic segmentation methods in deep learning
Experimented with a U-Net variant to perform pixel wise multi-class classification to segment high resolution satellite imagery into land use types with potential applications in deforestation and …
🔬 Espaço para divulgação de vagas para front-enders.