https://github.com/acgeospatial/julia_geospatial
Examples for a blog series on Geospatial Julia using ArchGDAL
https://github.com/acgeospatial/julia_geospatial
archgdal earth-observation geospatial julia raster satellite-imagery
Last synced: 16 days ago
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Examples for a blog series on Geospatial Julia using ArchGDAL
- Host: GitHub
- URL: https://github.com/acgeospatial/julia_geospatial
- Owner: acgeospatial
- Created: 2019-02-06T09:36:51.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2022-12-19T10:36:15.000Z (over 2 years ago)
- Last Synced: 2025-04-19T14:35:29.113Z (about 1 month ago)
- Topics: archgdal, earth-observation, geospatial, julia, raster, satellite-imagery
- Language: Jupyter Notebook
- Size: 31.3 MB
- Stars: 68
- Watchers: 8
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Julia_Geospatial
Examples for a blog series on Geospatial Julia using ArchGDAL.
The aim of this series is to have a look at the potential for Julia in Geospatial technology. I am more focused on Raster data, in particular data from Satellites - in these posts I will be using Sentinel 2a data. I will be using the ArchGDAL package for this work. There maybe other packages available, at present (Feb 2019) ArchGDAL offered far more than any other Julia package that I could find. I am more than happy to be corrected though.
I don't claim any expertise on Julia Lang - I am just learning. If you have any contributions to make this code better I will happily take them.
## An important note - UPDATE
Dec 2022 I have checked all the code for Julia 1.8.3 and it works. There is no promise of this being best practice, but enjoy!
brief blog post here (2021) - http://www.acgeospatial.co.uk/julia-prt4/
## Imagery
Isle_Wight.tif (https://github.com/acgeospatial/Julia_Geospatial/blob/master/Isle_wight.tif) is a sample image to be used in some of these scripts. It is a 10m spatial resolution RGB Sentinel 2a image from 2017 (from May I think). I have preprocessed it. I have performed a 99% clip stretch on the data for better display. This was done in Python using Rasterio, but should be possible in ArchGDAL as well, perhaps using https://juliastats.github.io/StatsBase.jl
## Corresponding blog posts
Blog 1 (Feb 2019) - http://www.acgeospatial.co.uk/julia-prt1/
Blog 2 (Feb 2019) - http://www.acgeospatial.co.uk/julia-prt2/
Blog 3 (Feb 2019) - http://www.acgeospatial.co.uk/julia-prt3/
Blog 4 (Dec 2021) - http://www.acgeospatial.co.uk/julia-prt4/
## Notebooks of interest
Raster data and ArchGDAL here
https://github.com/acgeospatial/Julia_Geospatial/blob/master/02_Notebooks/04_reading_displaying_writing_rasters_Julia.ipynb
Vector data and ArchGDAL here
https://github.com/acgeospatial/Julia_Geospatial/blob/master/02_Notebooks/05_testing_shapefile.ipynb
Sentinel 2 and GeoArrays here
https://github.com/acgeospatial/Julia_Geospatial/blob/master/02_Notebooks/06_working_with_Sentinel2.ipynb
## Planned - nothing at present - email me [email protected]