To ensure consistency and accuracy in geospatial data collection and management.

To facilitate data sharing and collaboration among different stakeholders.

To support decision-making and planning processes at various levels of government.

All of the above.

Survey of India (SoI)

National Remote Sensing Centre (NRSC)

Indian Space Research Organization (ISRO)

Ministry of Earth Sciences (MoES)

Lack of awareness and understanding of the benefits of data standards.

Inconsistent data collection and management practices across different organizations.

Limited resources and capacity for data standardization and harmonization.

All of the above.

By raising awareness and educating stakeholders about the benefits of data standards.

By developing and implementing clear and comprehensive guidelines for data collection and management.

By providing adequate resources and capacity building for data standardization and harmonization.

All of the above.

Improved data quality and consistency.

Enhanced data sharing and collaboration among stakeholders.

Better decision-making and planning processes at various levels of government.

All of the above.

By providing accurate and reliable data for land use planning and management.

By supporting the development of infrastructure and services in rural and urban areas.

By enabling the monitoring and evaluation of environmental impacts.

All of the above.

Improved data quality and consistency.

Increased data fragmentation and duplication.

Enhanced data sharing and collaboration.

Better decision-making and planning processes.

They facilitate the collection, storage, and analysis of geospatial data.

They enable the visualization and dissemination of geospatial data.

They support the development and implementation of data standards.

All of the above.

Data dictionary

Metadata

Data model

Data sharing agreement

To provide input and feedback on the development of data standards.

To adopt and implement data standards in their respective organizations.

To share data and collaborate with other stakeholders.

All of the above.

By providing accurate and timely data for risk assessment and mapping.

By supporting the development of early warning systems.

By facilitating the coordination of relief and recovery efforts.

All of the above.

Lack of political will and support.

Inconsistent data collection and management practices.

Rapid technological advancements.

Limited resources and capacity.

By providing accurate and reliable data for planning and decision-making.

By enabling the efficient delivery of services to citizens.

By enhancing transparency and accountability in government operations.

All of the above.

Strong leadership and commitment.

Clear and comprehensive guidelines.

Adequate resources and capacity.

Resistance to change.

By providing data for land use planning and management.

By supporting the development of precision agriculture techniques.

By enabling the monitoring and evaluation of agricultural practices.

All of the above.