Atlas AI Geo4Dev Crop Type Mapping Tutorial by Atlas AI P.B.C. and the World Bank's Development Data Group is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- You will need to sign up to the GEE platform with a Google account. Google Earth Engine remains free of charge for academic institutions, so you can sign up for free with your berkeley.edu email. Google usually gives access to new users within 24 hours.
- Data in GEE can be analyzed in two ways:
- through the Javascript API via the GEE code editor, or
- through the Python API, that can be accessed through any Python environment, such as Jupyter notebooks.
- Make sure you have Python 3.7+ installed on your computer
- Also install conda for package management
- Set up a different environment for this workshop - let’s call it
ct_map. You can use conda to do that as follows:conda create --name ct_map python=3.7.10conda activate ct_map
- Install some requirements in your environment:
conda install jupyterconda install gdalpip install git+https://github.com/shrutijain90/[email protected]- You may need to run
conda install gitbefore running the above command. - If you are unable to install the
gee-toolsrepo using the above command, try installing it in edit mode as follows:- Clone the repo:
git clone https://github.com/shrutijain90/eetc.git - cd into the repo directory
pip install -e .
- Clone the repo:
- You may need to run
conda install pandasconda install geopandasconda install geemap -c conda-forgeconda install -c anaconda scikit-learnpip install eeconvertconda install -c anaconda seaborn
- Authenticate earth engine. You may need to have
gcloudinstalled before using the authenticate command. You can follow these instructions to do so.earthengine authenticate