Geospatial Ecosystems and Land Governance in India

Syllabus: GS2/Governance; GS3/Science & Technology

Context

  • Recently, the Department of Land Resources emphasized that geospatial information has emerged as critical in land governance.

What is a Geospatial Ecosystem?

  • It refers to the network of technologies, institutions, policies, and stakeholders involved in collecting, processing, and using spatial data.
  • These systems enable real-time mapping, monitoring, and governance of land and resources.
  • They combine multiple geospatial technologies such as satellite imagery and remote sensing, Geographic Information Systems (GIS), Global Positioning Systems (GPS), drones, and LiDAR to generate accurate spatial data and insights.

Land Governance in India

  • Land governance refers to policies, institutions, and processes that determine ownership, use, and management of land resources.
  • Key issues in land governance in India are fragmented land records, land disputes (major share of civil litigation), urbanisation pressures, environmental degradation, and inefficient land-use planning.

Role of Geospatial Technologies in Land Governance

  • Land Records Digitisation & Cadastral Mapping: GIS enables accurate boundary demarcation; reduces disputes and improves land titling; and supports conclusive land ownership systems.
    • Example: SVAMITVA drone mapping.
  • Land Use Planning & Urban Governance: Helps in zoning, smart city planning, and infrastructure development; and enables data-driven master plans.
    • GIS integration improves urban governance efficiency and transparency.
  • Natural Resource Management: Monitoring forests, water bodies, and agriculture; and supports climate resilience and disaster management.
    • Geospatial inputs are crucial for efficient land-use policies.
  • Disaster Management: Real-time mapping for floods, cyclones, landslides; and improves response and mitigation strategies.
  • E-Governance & Decision Support Systems: GIS-based platforms enable e-governance and public service delivery; and facilitates inter-departmental coordination.
    • GIS acts as a core component of government decision-support systems.

Challenges in Geospatial Land Governance

  • Institutional Fragmentation: Multiple agencies managing spatial data; and lack of coordination among them, leading to governance issues in GIS infrastructure.
  • Data Accessibility & Standardization: Historical restrictions on spatial data sharing; and lack of interoperability.
  • Capacity Constraints: Shortage of skilled GIS professionals; and limited local-level adoption.
  • Legal and Privacy Concerns: Data security and misuse risks, and need for regulatory clarity.
  • Socio-Political Dimensions: Power asymmetry in land data control; and risk of exclusion of marginalized communities.

Important Initiatives of Geospatial Ecosystem in India

  • Liberalised Geospatial Guidelines (2021 onwards): Removal of restrictions on mapping and data generation; and private sector participation encouraged.
  • National Geospatial Policy (2022): It aims to develop a self-reliant geospatial ecosystem; and to promote innovation, startups, and data democratization.
  • Digital India Land Records Modernization Programme (DILRMP): Integration of textual and spatial land records; and GIS-based cadastral mapping.
  • eLoc (National Digital Address System): Unique 6-character digital address for every location, like Aadhaar for places.
  • Other Schemes: SVAMITVA Scheme & NAKSHA.

Way Forward

  • Policy Measures: Strengthen National Spatial Data Infrastructure (NSDI); promote open data ecosystems; and enhance centre-state coordination.
  • Technological Steps: Integration of AI, GIS and Big Data; and expansion of drone mapping and real-time analytics.
  • Governance Reforms: Move towards conclusive land titling; and ensure community participation and transparency.
  • Capacity Building: Training programs in geospatial technologies; and promote startups and innovation ecosystems.

Source: PIB

 

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