https://github.com/liamtoney/landslide_superimpose

To-scale superimposition of landslide deposits over arbitrary satellite images, for outreach purposes
https://github.com/liamtoney/landslide_superimpose

geospatial imagery landslides outreach

Last synced: about 1 month ago
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To-scale superimposition of landslide deposits over arbitrary satellite images, for outreach purposes

• Host: GitHub
• URL: https://github.com/liamtoney/landslide_superimpose
• Owner: liamtoney
• Created: 2023-05-11T17:51:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-05-22T18:16:27.000Z (over 1 year ago)
• Last Synced: 2024-01-29T14:39:44.703Z (11 months ago)
• Topics: geospatial, imagery, landslides, outreach
• Language: Python
• Homepage:
• Size: 3.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# *landslide_superimpose*

*landslide_superimpose* is a landslide size visualization outreach tool.

Given the following inputs:

* A satellite image of a landslide deposit

* An outline of the landslide deposit (e.g., from GIS software)

* The coordinates of the crown of the landslide

* A "background" satellite image of any other location

* The coordinates of a target point in the "background" satellite image

[`landslide_superimpose.py`](landslide_superimpose.py) will:

* Convert all geospatial objects into their equivalent UTM coordinate reference

  systems

* Clip the landslide image using the landslide outline

* Superimpose the clipped landslide image on the background image, placing the

  landslide crown at the target location

The operations are performed such that the landslide deposit has the same scale

as the background image. **This can create powerful visualizations of the size

of events:**

![Imagery © 2016 and 2022 Planet Labs, Inc.](iliamna_2016_fbx.jpg)

All images (rasters) are expected to be in GeoTIFF format. Landslide outlines

can be KML files or shapefiles. The code *should* [keyword! 😉] be able to

handle arbitrary coordinate reference systems for these inputs. All coordinates

are expected to be (latitude, longitude) in the WGS 84 datum.

## Quickstart

1. Obtain

   ```

   git clone --depth 1 https://github.com/liamtoney/landslide_superimpose.git

   cd landslide_superimpose

   ```

2. Create environment, install, and activate

   ([install conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)

   first, if necessary)

   ```

   conda env create

   conda activate landslide_superimpose

   ```

3. Run as a Python script within IPython

   ```

   ipython

   In [1]: run landslide_superimpose.py

   ```

## Disclaimer

This code has not been extensively tested, nor should you expect it to work

without modifying the paths in the top of the script and providing your own

input files!