Automatically Delineating Building Footprints
Our research automatically generates and delineates building footprints using satellite imagery. Our model estimates building counts using digital maps and built-up area detection using deep learning models. Using deep learning models we also carry out building footprint extraction.
These outputs help produce geo-spatial datasets that can be applied directly or indirectly to many urban planning and data-driven policy making endeavors. These services include:
- Population disaggregation
- Air quality prediction at grid level
- Damage assessment at a granular level
- Measuring and optimizing distances between municipal service points and housing points etc.
- Generating and updating society maps or for tax valuation purposes, which can save a lot of manual efforts.
