saraivaufc / watershed-segmentation

Implementation of Watershed segmentation in Python using GDAL and Scikit-image

Requirements

• GDAL -- Homepage
• Scikit-image -- Homepage

Install Gdal

Get gdal development libraries:

$ sudo apt-add-repository ppa:ubuntugis/ubuntugis-unstable
$ sudo apt-get update
$ sudo apt-get install libgdal-dev
$ sudo apt-get install python3-dev
$ sudo apt-get install gdal-bin python3-gdal

Install virtual enviroment

$ sudo apt-get install virtualenv

Create and activate a virtual environment

$ virtualenv env -p python3
$ source env/bin/activate

Install Others Requirements

(env) $ pip3 install -r requirements.txt

Install GDAL

(env) $ pip3 install GDAL==$(gdal-config --version) --global-option=build_ext --global-option="-I/usr/include/gdal"

Usage

python3 segmentation.py --input=data/LC08_220069_20190707.tif --output=data/output.tif --scale_level=0.8 --smoth=True

python3 polygonize.py --input=data/output.tif --output=data/output.gpkg

python3 zonal_statistics.py --input_raster=data/LC08_220069_20190707.tif --input_vector=data/output.gpkg --stats min max mean

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.