Satellite imagery could give inputs on location intelligence, which includes the development of land for specific time periods. Stanford University has predicted poverty levels using night-time satellite imagery, as well as per capita economic expenditure across continents. It also needs to be seen if satellite imagery can help determine the wealth levels of individuals. Satellite imagery has revealed that residents belonging to certain parts of south and north India were financially better off than their counterparts in Bihar and north-east India. It can leverage geospatial tech tools for culling out information derived from the geospatial data and satellite imagery. Geospatial data and satellite images bring us close to real-time feeds and have diverse applications.