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        "description": "# waffls\n---------\n\n**wa**ter **f**raction **f**rom **L**andsat and **S**entinel-2 imagery\n\n----------------------------------------------------------------------------------------\n\nwaffls is a collection of algorithms for estimating sub-pixel surface water fraction using medium resolution satellite data. Reader classes for Landsat data (Collection-1 and Pre-Collection), Sentinel-2 (10m or 20m resolution SAFE format) and Harmonized Landsat Sentinel-2 (HLS; 10m S10 or 30m S30/L30) data are included.\n\n## Installation\n\nwaffls is built on top of gdal and a number of python libraries. The rasterio and pyhdf libraries must be installed first, and can be accessed through conda. See [here](https://conda.io/docs/user-guide/install/index.html) for instructions on installing conda. To install waffls in a separate python-3 conda environment, run the following:\n\n```bash\nconda config --add channels conda-forge\nconda create -n waffls gdal rasterio joblib cython\nconda activate waffls\ngit clone https://github.com/bendv/waffls\ncd waffls\npython setup.py install\n```\n\n## Reference\n\nDeVries, B., Huang, C-Q., Lang, M.W., Jones, J.W., Huang, W., Creed, I.F. and Carroll, M.L. 2017. Automated quantification of surface water inundation in wetlands using optical satellite imagery. Remote Sensing, 9(8):807.",
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