Machine Learning Training Data for GIS Applications

The intersection of GIS and Machine Learning is evolving, bringing new use cases and ML applications to the forefront. These applications, which span both the private and public sectors, are powered by massive amounts of data collected by satellites, drones, cameras, LIDAR sensors, and other sensors, all of which work together to provide a comprehensive view of the world. The sheer volume and variety of data complicates its management and utilization.

Impact of Geospatial Value on Land Management

Hosting 18% of the global population on just 2.4% geographical area, India is blessed with a rich diversity of climate, topography, natural resources, and socio-economic conditions. As a non-renewable ‘finite’ resource supporting primary production and social systems, land resources in India have been underperforming and over-exploited for long. About 78% of India’s geographical area is covered under agricultural and allied activities contributing 18% to GDP (2020), when compared with 40% contribution by other sectoral activities with land as principal component collectively.