GIS Services
Our Case Studies
Our expert domain knowledge in the geospatial field is our biggest strength. We provide variety of services in the GIS field right from developing customised solutions to data creation and processing.
Zonal Development Planning
The most important need of introducing a master plan in any city is indeed to Future Proof it. As the population of the city and its nearby areas increases, the pressure on the city also increases. A master plan tailors and addresses the growing needs of the city and guides the city’s transportation and utilities plans, future land-use patterns and the locations of economic activity for 20-25 years. A master Plan gives directions for the necessary future actions.
3D Modeling of Indian Railways
The most important need of introducing a 3D master plan in railway colony is indeed to Future Proof it. As the population of the railway colony and its nearby areas increases, the pressure on the railway department also increases. A master plan tailors and addresses the growing needs of the railway colony and guides the colony’s transportation and utilities plans, future land-use patterns and the locations of economic activity for 5-10 years. A master Plan gives directions for the necessary future actions.
Streetlights Inventory management Portal
"Streetlight Inventory Management Portal", can be used by public works field staff to inventory streetlights erected at the edge of a road or walkway. It helps public works staff to develop a comprehensive inventory of streetlights and the poles to which they are attached, and prepares this information for related maintenance management workflows.
Crop Analysis Portal
Future trajectories of food prices, food security, and cropland expansion are closely linked to future average crop yields in the major agricultural regions of the world. Afforce Consulting has come-up with "Crop Analysis Portal" using quantify past weather and technological factors, analyze their effects on yields, predict future crop yields based on projected levels of these factors and will also derive estimates of the parameters of the random element associated with these yield predictions