GIS and Remote Sensing

Change Detection

Change detection approach is most involed binary classification approach where the two “change” or “no-change” classes are produced between the two image acquisitions. This approach has applications in various fields like:

  • Forest status between two dates
  • Disaster management: after earthquake using pre and post disaster image to indntify the extent and location of damaged and distroyed building
  • Flood mapping: using pre and post flood images in order to map the flooding areas
Change Detection


  • Log ratio method
  • Machine learning models
  • Fuzzy logic based change detection algorithms


Machine learning, regression models, descriptive statistics, Bayesian statistics, data mining, Python, IDL, C/C++, Matlab, R, ArcPy, machine learning libraries