Industrial Land Mapping (TSIIC)

This project focused on the creation of a unified, accurate, and spatially reliable digital land information system for government-owned industrial land parcels across the state of Telangana. The objective was to transform legacy land records into a modern geospatial framework capable of supporting planning, governance, monitoring, and long-term asset management.

1. Cadastral Layer – Legal Parcel Framework

The cadastral layer forms the foundational spatial framework of the system, representing the legally defined boundaries of individual land parcels identified by survey numbers.

Background Challenge:

Most legacy cadastral records existed as paper-based Field Measurement Books (FMBs) and village maps, prepared decades ago during earlier administrative regimes. These records were susceptible to physical degradation, scale inconsistencies, and drafting inaccuracies. Additionally, they lacked geospatial reference, making them unsuitable for modern spatial analysis.

Implementation Approach:

Digitized cadastral maps provided by state land authorities were converted into vector-based parcel polygons. Each survey number was assigned a unique digital geometry, preserving its legal extent while enabling spatial computation.

Outcome:

Every industrial land parcel now exists as a precise digital entity with clearly defined boundaries. This layer enables parcel-level querying, spatial overlays, and integration with planning and governance systems, forming the legal backbone of the land information platform.

2. Land Use / Land Cover (LULC) Layer – Ground Reality Assessment

The LULC layer captures the actual on-ground usage of land parcels and their surrounding environment, providing a reality check against legal records.

Data & Classification:

High-resolution satellite imagery was used to classify land into standardized categories such as industrial, agricultural, forest, built-up, open land, and water bodies. The classification was carried out at detailed spatial scales suitable for parcel-level analysis.

Analytical Capability:

By overlaying LULC data on cadastral boundaries, the system enables identification of land-use compliance, detection of mismatches between sanctioned use and actual usage, and assessment of land readiness for industrial development.

Temporal Analysis:

Multi-year imagery allows change analysis over time, supporting identification of encroachments, unauthorized conversions, or environmental constraints affecting industrial land parcels.

3. Geo-Referencing – Spatial Accuracy & Alignment

Geo-referencing was the most critical technical component of the project, ensuring positional accuracy and real-world alignment of legacy maps.

Technical Challenge:

Historical village and cadastral maps were not created using coordinate-based systems and therefore did not align naturally with modern satellite imagery. This resulted in boundary shifts, overlaps, and mismatches when viewed against current ground conditions.

Methodology:

Legacy maps were spatially aligned using satellite imagery and Differential GPS (DGPS) control points collected from the field. The digitized cadastral layers were adjusted through controlled transformation techniques to accurately match real-world coordinates.

Resolution of Discrepancies:

Differences between recorded land extents and actual ground measurements were resolved through systematic alignment, eliminating floating parcels and distorted boundaries.

Result:

The final cadastral framework accurately reflects true ground positions, ensuring that distances, parcel extents, and spatial relationships are reliable for planning, legal verification, and infrastructure development.