How data helped Odisha create a land bank (other States must learn)

data helped odisha

In a bid to attract investment and ensure hassle-free land acquisition for major projects, the Odisha Government decided to create land banks for industrial development. The state-owned Industrial Infrastructure Development Corporation of Odisha (IDCO), assigned to work for infrastructure development for different industrial projects, created land banks for 2.4 lakh acre out of which 95,000 acre are web-hosted for information of stakeholders.

With land acquisition posing a major hurdle in rapid industrialisation, technological interventions are made to identify 2.4 lakh acres suitable for industrialisation and to develop a land bank of 1,00,000 acre as a key initiative for development of industrial infrastructure in Odisha.

The Government used database management concepts for creation of web-GIS based Odisha Land Bank for industrial development and compensatory afforestation. For this, high resolution ortho-images, geo-referenced digital cadastral data sets, NIC Bhu-lekh RoR data, satellite derived spatial datasets and attribute datasets of industry department are used to create the web-GIS Odisha industry information and Land Bank.

It’s a web-hosted in public domain for use by all stakeholders interactively under GOiPLUS (Government of Odisha Industrial Portal for Land Use and Services). The portal contains 37 layers of information in one geo-coded format, which have facilitated creation of different types of maps catering to different types of user requirements such as IndustryInfo Map Document (.mxd), Administrative Map document (.mxd), Network Infra map Document and others.

Data points
Revenue cadastral maps are used as base maps. The shape files of cadastral maps and digitised RoR data are used for identification of plots. Clustering was made considering its shape, size, landuse, location, physiograpghy, morphology, connectivity and contiguous nature. Ortho-rectified Cartosat 2.5m and World-View 0.5 m data are used to geo-reference the cadastral maps of the entire state. Land Bank cluster maps are prepared in revenue scale in digital dwg and shp format.

Multisource data are used to generate data on infrastructure such as land use, power supply transmission, electric substations, transportation corridors, rail-road-port-air connectivity; social infrastructure like schools, colleges, hotels, medical facilities, technical institutions, police stations, fire stations and banks/ATMs, etc; physical themes like forests (RF/PF), habitations, surface water along with administrative zones and industrial activities.

As map services are accessed via URL, same public IP is used in URL in the code to make it accessible globally. is the URL to access the website. Therefore one directory with the same name has been created in Local IIS Manager of the development server. Domain name ( is bound to the Public IP, which is given to the development server. If user hits the webpage, it redirects the request to public IP, i.e., development server, and to understand the request directory has been created on the development server.

Through the system, a prospective investor can get information not only about land availability but also the key attributes of existing industries operational in that area such as sector of operation, products, capacity, employment, raw material linkages etc. It provides a spatial relationship between industrial clusters and infrastructure and other amenities through an overlay of attributes that measures the suitability of industrial development