This mapping data will be helpful for private companies who are seeking maps and data that suit their specific purposes.
Announcing a sweeping change in India's mapping policy, the Centre on Monday liberalised regulations on geospatial data, making it freely available in the country for innovation and IT companies.
The Centre has now permitted private developers to generate geospatial data. This approval will set a major plot for startups to take part and earn a profit.
Earlier, the mapping department was restricted and was handled by only the Central Governments Survey of India. The sweeping changes announced today have given Indian private players the freedom to handle information related to mapping without prior approval or restriction.
In a series of tweets, Prime Minister Narendra Modi said these reforms will unlock tremendous opportunities for the country's startups, private sector, public sector, and research institutions to drive innovation and build a scalable solution. This move will generate employment and accelerate economic growth.
"Our government has taken a decision that will provide a huge impetus to 'Digital India'. Liberalising policies governing the acquisition and production of geospatial data is a massive step in our vision for an Aatmanirbhar Bharat. This move will help India meet its goal of a USD 5 trillion economy, said Prime Minister Modi.
What is Geospatial Data?
Geospatial data (also known as “spatial data”) is used to describe data that represents features or objects on the Earth’s surface. Whether it’s man-made or natural, if it has to do with a specific location on the globe, then it’s geospatial.
How Geospatial Data is Used?
There are many ways geospatial data can be used and represented. Most commonly, it’s used within a GIS (Geographic Information System) to understand spatial relationships and to create maps describing these relationships. A GIS can also help you regulate, customize, and analyze geospatial data.
Some examples of geospatial data include:
Vectors and Attributes
Points, lines, polygons, and other descriptive information about any location can be known via vectors and attributes.
Point Clouds
Collected by LiDAR systems, they can be used to create 3D models of areas and localities.
Raster and Satellite Imagery
This helps in getting a bird's eye view of what the Earth looks like via high-resolution imagery.
Mapping data useful for private companies
Geospatial data is foundational and will play a vital role in every manner of planning, governance, services, infrastructure, and applications.
This mapping data will be helpful for private companies who are seeking maps and data that suit their specific purposes. For example, local delivery of products and services requires highly specific details of a locality within a town. This, in turn, could lay the groundwork for future smart city projects.
Advantage of privatization of geospatial data in India
This data will help drive efficiencies in the agriculture sector. While facilitating the rise of new-age industries, increased participation of the private sector will increase the growth of new technologies, platforms, and applications of geospatial data which will directly contribute to the country's progress.
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