This repository contains a webmap that was originally produced for A²S in 2016. Its aim was to showcase the results of a pipeline prototype written in R, for extracting artificial land surfaces from satellite imagery. Said surfaces were obtained by classifying SPOT images, using a Random Forest classifier, Copernicus data and specific sampling scheme.
Note
The data showcased in this webmap is the result of a processing pipeline that was still in its infancy, and that would later be adapted so as to process Sentinel-2 images. The corresponding pipeline would then become the prototype that Urba-Opt was built upon.
The webmap was briefly updated in September 2022, following the new standards in web development. However, the original pipeline and data were not modified.
This project includes the following directories in the gh-pages branch:
data/— TopoJSON files containing classification results and region of interest.dist/— Build directory.
Node.js v16.15.0 was used, but earlier versions might work too.
The following lines can be used to run the webmap in a built-in development server:
git clone https://github.com/poterekq/a2s-urban-webmap.git
cd a2s-urban-webmap
npm install
npm run dev