About the Client
A state government agency undertaking a major land governance modernization program as part of the National GIS initiative. The objective was to create a high-accuracy digital land base to support interdepartmental coordination, transparent decision-making, and citizen-facing e-governance platforms.
The Challenge
The client lacked a centralized, standardized, and high-resolution geospatial database to support effective planning and land management. Departments operated with siloed data sources, leading to data duplication, inefficiencies, and limited accessibility.
Key challenges included:
- No single authoritative base map for statewide infrastructure and land use
- Inconsistent or outdated records across departments
- Difficulty accessing spatial data due to physical file handling and lack of digital sharing mechanisms
- Need for high-precision mapping to support future planning, dispute resolution, and development
The Solution
We developed a robust Spatial Data Infrastructure (SDI) based on high-resolution (50 cm) ortho-rectified satellite imagery. The solution focused on multi-theme feature extraction, base map generation, and creation of an integrated geo-portal.
Key solution components included:
- Procurement and use of 50 cm ortho-corrected satellite imagery
- Feature extraction at 1:2,000 scale across Urban, Transport, and Water themes
- Creation of a centralized land use/land cover mask incorporating Forest, Wasteland, and Agriculture layers
- Development of standardized GIS data models with exhaustive attribute schema
- Centralized geo-portal hosting a Decision Support System (DSS) with department-level custom views
- Web-based data access to minimize redundancy and physical data transfer
- Creation of a government asset inventory layer for public works, water resources, and planning departments
The Impact
The SDI solution significantly improved transparency, accessibility, and decision-making capacity across state departments:
Key Project Highlights
- Mapped 307,713 sq. km using high-resolution satellite imagery
- Feature extraction and interpretation at 1:2K scale
- Reduced data duplication and eliminated reliance on physical data sharing
- 4 thematic base layers: Transport, Water, Urban, and Land Use Mask
- Integrated GDB structure with coordinated feature class relationships
- Scalable architecture aligned with National GIS and SDI standards