https://github.com/acgeospatial/planet_opencalifornia
Series of Posts/Scripts on using data from Open California dataset by Planet
https://github.com/acgeospatial/planet_opencalifornia
earth-observation gdal pixel-clusters planet planet-opencalifornia python
Last synced: 18 days ago
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Series of Posts/Scripts on using data from Open California dataset by Planet
- Host: GitHub
- URL: https://github.com/acgeospatial/planet_opencalifornia
- Owner: acgeospatial
- Created: 2017-08-22T17:21:33.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-07-25T11:15:41.000Z (almost 7 years ago)
- Last Synced: 2025-04-19T14:35:22.479Z (about 1 month ago)
- Topics: earth-observation, gdal, pixel-clusters, planet, planet-opencalifornia, python
- Language: Python
- Size: 8.79 KB
- Stars: 4
- Watchers: 3
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Planet_OpenCalifornia
Series of Posts/Scripts on using data from Open California dataset by PlanetThese posts were written Summer/Autumn 2017, depending on when you access the data screen shots may have changed and websites updated.
## Part 1 Open California dataset
Blog post on the Open California dataset and comparison of sensors http://www.acgeospatial.co.uk/blog/open-california-data-comparison/

## Part 2 Pan Sharpening Sentinel 2a data with Planet
Blog post detailing process and description
http://www.acgeospatial.co.uk/blog/pan-sharpening-sentinel-2-with-planet-data/
Gdal to sharpen
Raster files cover the SAME area!
blue_band_planet.tif = clipped blue band from Planet
sentinel2a.tif = Clipped RGB Sentinel2a data of any combination you likegdal_pansharpen -w 0.52 -w 0.25 -w 0.23 -co PHOTOMETRIC=RGB blue_band_planet.tif sentinel2a.tif blue_sharpened.tif
repeat from Red and Green
Use outputs in [median_sharpen.py](https://github.com/acgeospatial/Planet_OpenCalifornia/blob/master/median_sharpen.py)
## Part 3 Using pan sharpened Sentinal 2a to run SVM pixel clusters
Blog post detailing SVM on pixel clusters
http://www.acgeospatial.co.uk/blog/svm-on-recognizing-pixel-clusters/
Project code is here [ML_planet.py](https://github.com/acgeospatial/Planet_OpenCalifornia/blob/master/ML_planet.py)
## Part 4 Identifying buildings using Monteverdi software
http://www.acgeospatial.co.uk/blog/buildings-monteverdi-software/
Connect/contact [@map_andrew](https://www.twitter.com/map_andrew)