Big data offers numerous advantages in Indian geography, including enhanced accuracy of geographical data, improved understanding of spatial patterns, and identification of new geographical trends.

While satellite imagery, census data, and social media data are common sources of big data for Indian geography, historical maps are not typically considered a primary source of big data.

To study land use patterns in India effectively, it is beneficial to combine data from satellite imagery, census data, and social media data to gain a comprehensive understanding.

Cloud computing, high-performance computing, and machine learning are all technologies commonly used to process and analyze big data in Indian geography.

Big data can contribute to disaster management in India by providing real-time information on natural disasters, aiding in the prediction and tracking of disasters, and facilitating the coordination of relief efforts.

Utilizing big data in Indian geography presents challenges such as data privacy and security concerns, lack of skilled professionals in data analysis, and limited computational resources.

Big data can be used to improve urban planning and development in India by analyzing traffic patterns, identifying areas for affordable housing, studying population density, and planning for future growth.

The Survey of India is the Indian government agency responsible for collecting and disseminating geospatial data.

Geoinformatics, geospatial analytics, and spatial data science are all terms used to describe the integration of big data with geographical information systems (GIS).

Big data can be used to study climate change and its impact on Indian geography by analyzing historical climate data, using satellite imagery, and collecting social media data.

Karnataka has been a pioneer in implementing big data initiatives for geographical data management.

The National Geospatial Policy is the Indian government's flagship program for promoting the use of geospatial technologies.

Bengaluru has been recognized for its innovative use of big data in urban planning and development.

Big data can be leveraged to improve agricultural practices and crop yield in India by analyzing satellite imagery, collecting weather data, and using social media data.

Data mining, machine learning, and geospatial analysis are all techniques used to extract meaningful insights from big data in Indian geography.