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Pipeline to collect remote sensing data + climate models with building footprints using Google Earth Engine

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trdougherty/thermal

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Satellite Collection Pipeline - Building Statistics

This repo is meant to consolidate some of the tooling required to use Google Earth Engine for the collection of data pertinent in building energy consumption. Below you can find an example of what it looks like to capture vegetation adjacent to buildings in southern Brooklyn:

plot

A case study using data collected with this resource can be found here. DOI.

Steps for getting running

  1. conda env create -f environment.yml
  2. conda activate thermal
  3. earthengine authenticate
  4. mkdir ./data/<name>/
  5. cp <building_footprints> ./data/<name>/footprints.geojson
  6. python run.py --city <directory_name> --settings default_settings.yml --export

For a lite version of the code (if you have less than maybe 100 buildings, you don't need to export the data to google drive. Instead, the command can be as simple as:

python run.py --city sample

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Pipeline to collect remote sensing data + climate models with building footprints using Google Earth Engine

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