PROBLEM
There was a non-availability of mauza boundaries which prevented visualization of socio-economic data like population census on maps at such granularity.
APPROACH
Scanned British era land revenue maps using a custom low-cost contact-less scanner. The scanned images were processed and stitched to produce mauzas which were then fit together as a mosaic. Then, geo-referenced mauza layer with satellite imagery.
PROCESS
Land revenue maps were scanned using a custom low-cost contact-less scanner.
The scanned images were then processed and stitched to produce mauzas.
The mauzas were fit together like a puzzle in a software.
The mauza layer was then geo-referenced with satellite imagery.
IN COLLABORATION WITH
