Spatial Data Analytics for Regional Planning Using GIS and RS Technologies

The modern tools and technologies, i.e., GeoAI, Drones, DGPS, and GIS platforms are being used to digitize all the villages of whole India and will be digitally mapped very soon. The process is in continuation and various organizations are playing a vital role to be a part of this Digital India project and continuously working in their respective areas to achieve it. These digital maps will be integrated with all the spatial and non-spatial information about our nation. Spatial data analytics is a technique that is used to analyze, predict, and plan geospatial data for multiple purposes by adding time and location stamps. It can be related to the demographic assessment, land-use and land cover pattern analysis, road networks, agriculture, weather analysis, forestry, and many more. Currently, in this paper, we are focusing on how spatial analytics is helpful for planning and decision-making at different levels of stake holders. Research work is carried out through a case study of Nalanda regional area using GIS technologies. Different land-use and land cover pattern are identified over the time and are superimposed on satellite images of that area to check the quality and accuracy of prediction that will be used for regional planning of study area. This work also emphasis on, “how this technology is strongly contributed to the project Digital India with speed and accuracy” particularly for regional or urban planning.