Extract shorelines from publicly available satellite imagery https://github.com/kvos/coastsat
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
kvos ee556de2fe Neural Network image classification
NN trained to classify each pixel of the image in 4 classes ( sand, whitewater, water, other)
7 years ago
functions Neural Network image classification 7 years ago
.gitignore update sds.py module 7 years ago
README.md uploaded p3_environment.txt 7 years ago
py3_environment.txt uploaded p3_environment.txt 7 years ago
sds_extract.py Neural Network image classification 7 years ago

README.md

This toolbox uses the Google Earth Engine Python API to explore collections of publicly available satellite imagery (Landsat, Sentinel).

It has .py routines to:

  • read and preprocess satellite images (cloud masking, contrast stretching)
  • pansharpen Landsat 8 images
  • extract shorelines with the Marching Squares algorithm

Requirements: all the packages contained in py3_environments.txt