pacific-dems

Python code and Jupyter notebooks for creating nation-wide DEMs of Pacific countries from LiDAR DEMs where available and FABDEM elsewhere

Repository structure

• Python scripts are in the py_scripts folder
• Jupyter notebooks for creating country DEMs are in the notebooks_create_dems folder
• An unversioned data folder is expected for:
  • input data (LiDAR derived DEMs, and FABDEMs)
  • output data (country boundaries, country DEMs)
  • FABDEM data is expected in a fabdems_folder
  • Country LiDAR data is expected in a lidar folder nested under the country_name folder
  • The country dems are created under the country_namefolder in a folder based on the resolution (e.g.5m_dems` for a 5m resolution).

Data specifics

This is expected to be included in the unversioned data folder in the base folder of this repository. Please update the paths if you want to use a different location. The data folder should countain a fabdems folder with all of the unzipped FABDEM tiles covering the country. These can be downloaded at link to FABDEM v1-2. Any country LiDAR data should be included in a folder with the country name.

The FABDEM and any LiDAR data must be downloaded before hand and placed in the expected location.

Generating countrywide DEMs

See the notebooks in the notebok_create_dems folder for example jupyter notebooks for creating dems at 5m for the specified countrires. The generated DEMs for the PARTneR countires have been uploaded to [NEXUS}(https://nexus.pacificdata.org/#/) and can be access from there.

Contribures

Please contact Rose Pearson for any questions about this repository.

License

This repository is licensed under an MIT licences agreement.