dataengineer_challenge

Clip and Sharpen

For this challenge Pléiades Projected WGS84 Pansharpened (GEOTIFF 8bits) image has been used
More info about the image
- Lcation: Venise, Italy
- File format: Geotiff 8 bits
- Resolution: 0.5 m
- Spectral mode: Pan-sharpened 3 bands
The image can be downloaded by clicking the following link (curl or wget can also be used)
https://www.intelligence-airbusds.com/en/8290-download-sample-imagery?product=43232&name=pleiades-projected-wgs84-pansharpened-geotiff-8bits
The downloded compressed file should be saved at base directory of this repo
Then extract the compressed file
If every thing goes well, There should be new directory with name FCGC600435537
On my machine repo directory structure is
- image path /dataengineer_challenge/FCGC600435537/IMG_PHR1B_PMS-N_001
- clip_sharp container contents contents /dataengineer_challenge/clip_sharp
- result path /dataengineer_challenge/results
- jupyter container contents /dataengineer_challenge/jupyter

First run docker-compose build it takes a while. As it needs to pull the base images from docker hub
Once build is successful, then run docker-compose up
The above command runs and tests the application.
If every thing goes well, clipped.tif and sharpened.tif should be created at /FCGC600435537/IMG_PHR1B_PMS-N_001
Print screens of clip and shparpened images can be found at /results