anna-boser/CP_irrigation_classifier

This repository is used to train and deploy an algorithm capable of sensing whether land in sub-Saharan Africa is irrigated or not. # CP_irrigation_classifier This repository is used to train and deploy an algorithm capable of sensing whether land in sub-Saharan Africa is irrigated or not. ## Setup The code in this directory is written in Python, and we use anaconda and a requirements.txt to manage our packages. Download anaconda and run the following commands in your terminal to set up your environment: ```{bash} conda create -n cp_pipeline python=3.9 -y conda activate cp_pipeline pip install -r requirements.txt ``` ## Shapefile containing Center Pivots across the World You can obtain the shp file containing the world's center pivots here. To extract the Center Pivots identified in 2021, download all files in this folder and run the following code in the terminal: ```{bash} cd ~/Downloads zip -s 0 World_CPIS_2021.zip --out World_CPIS_2021_together.zip unzip World_CPIS_2021_together.zip ``` ## Data inventory A list of all data used and created in this project can be found under `data.txt`. This file reflects all data that can be found in the waves/data/CP_irrigation_classifier/data folder on the ERI cluster, and the same structure should be maintained for files also kept locally. ## Instructions 1. Download all raw data files listed in the data inventory, either from their original source or the waves repository. 2. Run all code in order.