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

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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 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-19T10:36:15.000Z (over 1 year ago)
• Last Synced: 2024-01-29T15:09:47.242Z (5 months ago)
• Topics: archgdal, earth-observation, geospatial, julia, raster, satellite-imagery
• Language: Jupyter Notebook
• Size: 31.3 MB
• Stars: 63
• Watchers: 9
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• awesome-earthobservation-code - Julia_Geospatial - Examples for a blog series on Geospatial `Julia` using ArchGDAL (Languages other than `Python` and `R` / Testing your code)

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

![alt tag](http://www.acgeospatial.co.uk/wp-content/uploads/2019/02/0-768x413.png)

## 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]