Note: This repository are computer vision approaches to irrigated lands mapping. To see Earth Engine-based code referred to in our Remote Sensing article, go to EEMapper
Automate Mapping of Irrigated Lands
Installation Instructions:
This package is a little difficult to create a working python interpreter for.
First, get Anaconda and git, these tools are important here.
Next, create your environment.
conda create -n irri python=3.6
Then get the latest gdal:
conda install -c conda-forge gdal=2.2.3
Then the latest master branch of rasterio:
pip install git+https://github.com/mapbox/rasterio.git
Install Metio:
pip install git+https://github.com/tcolligan4/Metio.git
Install SatelliteImage:
pip install git+https://github.com/dgketchum/satellite_image.git