dataengineer_challenge

Clip and Sharpen

Requirements

• To run this repo host machine must have docker and docker-compose installed

Data

• 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

Commands

• 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

Jupyter

• Please find jupyter notebook at dataengineer_challenge/jupyter/jupyter.ipynb