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Techniques for deep learning with satellite & aerial imagery
Work with DEM data using Python from Simple to Complicated. Many python packages will be touched such as GDAL, numpy, xarray, rasterio, folium, cartopy, geopandas etc.
🌎 Simple and fast watershed delineation in python.
📺 Discover the latest machine learning / AI courses on YouTube.
Training materials for the Lakes and Rivers part of Training Module 3 Water and Energy
Python implementation of the SM2RAIN algorithm
Earth observation processing framework for machine learning in Python
An open source library and framework for deep learning on satellite and aerial imagery.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London
Roadmap to becoming an Artificial Intelligence Expert in 2022
📚 Freely available programming books
Matplotlib tutorial for beginner
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Demonstrational Session git repo for H SAF User Workshop (28/1)
Climate indices for drought monitoring
Course material for the course ‘Automating GIS processes’ at the University of Helsinki, Finland
An open access book on scientific visualization using python and matplotlib
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Curated List of Python Resources for Earth Sciences
This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.