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omdena-wri

This repository contains Python scripts, notebooks, and csvs for geospatial analysis and visualizations of platform hazards. All documentation is saved within the main Omdena-WRI Google Drive folder.

earth_engine

Code to export country-specifc metadata and images from Earth Engine to a Google Cloud Platform bucket is saved here.

To run export of metadata in command line:

python -m export_images_by_country -c $COLLECTION_STR -dm

To run export of images in command line:

python -m export_images_by_country -c $COLLECTION_STR -di

Supported Earth Engine collections:

Options for COLLECTION_STR

  • MODIS_LST_day
  • MODIS_LST_8day
  • MODIS_land_cover
  • hansen_forest_change
  • SMAP_soil_moisture

analysis

Analysis notebooks, including code to process the images from GCP, lives under the analysis/ subfolder. All processed Earth Engine collection csvs and visualizations are saved under analysis/output/. Most common functions across the notebooks have been moved to analysis/utils.py. Some code will not run without gaining access to the current GCP project.

GCP

The GCP project and bucket is currently registered to a free trial account. Earth Engine code will not run without modifying to new GCP credenitals or gaining access to the current project.

Created by Grace Mitchell, [email protected]

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