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Welcome to Techmapperz GIS Projects

Explore our comprehensive GIS-based Mapping and Spatial Data Visualisation projects. From Urban Planning to Agricultural Mapping, discover how we transform Spatial Data into actionable insights.

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City Mapping

The project focused on creating a detailed digital representation of Land use, Infrastructure, and demographics to support informed Urban Planning.

City Mapping City Mapping
OBJECTIVES
  • Improve Data Accuracy and consistency for better decision-making.
  • Enable Advanced Spatial Analysis and modelling.
  • Promote sustainable development by identifying conservation zones and assessing development impact.
Scope of Work
  • Comprehensive digital representation of Land use, Infrastructure, and demographics.
  • Enhanced Data Accuracy to support Urban Governance.
  • Advanced Spatial Analysis tools for sustainable planning.
  • Identification of areas for conservation and development assessment.

Agricultural Mapping

This project applied Spatial Data and GIS techniques to enhance Agricultural Productivity, Sustainability, and Environmental Monitoring.

Agricultural 1 Agricultural 2
OBJECTIVES
  • Apply precision farming using Spatial Data.
  • Improve soil and crop productivity.
  • Monitor climate and environmental conditions affecting agriculture.
Scope of Work
  • Precision farming through area-specific management based on Spatial Data.
  • Soil and crop analysis for improved productivity and sustainability.
  • Monitoring of weather patterns, drought levels, and environmental variables.

Industrial Planning & Mapping

The project focused on Spatial Data-based Industrial Planning and Landbank Identification to support the development of industrial corridors and clusters in Rajasthan.

Industial Planning & Mapping_1 Industial Planning & Mapping_2
OBJECTIVES
  • Identify and plan industrial clusters using Spatial Data.
  • Overcome challenges in locating new landbanks.
  • Improve data integration for infrastructure development
  • Adapt to technological changes and ensure data accuracy.
Scope of Work
  • Data-driven identification and development of industrial clusters and corridors.
  • Addressing constraints in landbank identification due to limited Spatial Data.
  • Solving data integration and compatibility issues.
  • Adapting to rapid technological changes in monitoring activities.
  • Ensuring accuracy in land measurements for planning.

Landuse-Landcover Mapping

This project involved GIS-based mapping of habitation areas to support Land use planning, Sustainable Development, and environmentally responsible Infrastructure.

LULC_1 LULC_2
OBJECTIVES
  • Create detailed habitation maps with Land use and population density.
  • Promote Sustainable Development by identifying conservation areas.
  • Support Eco-Friendly Infrastructure planning based on habitation distribution.
Scope of Work
  • Detailed mapping of habitation areas including Land use, Infrastructure, and Population Data.
  • Identification of conservation zones and assessment of development impacts.
  • Analysis of habitation patterns to guide environmentally responsible development.

Hooghly Riverfront

This project involved GIS-based Spatial Mapping of the Hooghly Riverfront in the KMDA region and Land Use Assessment of key jetties and commercial zones.

Hooghly_Riverfront_1 Hooghly_Riverfront_2 Hooghly_Riverfront_3
OBJECTIVES
  • Map key riverfront features and assets.
  • Assess Land use and business activity in key waterfront areas.
  • Support planning through Infrastructure and transport mapping.
Scope of Work
  • Spatial mapping of 500m stretch of both banks of the Hooghly River showing key assets, Land use, transit networks, landmarks, and green areas.
  • Land-use and Land-cover Mapping of Barabazar and 15 jetties including Chuchurah, Naihati, Sreerampore, Panihati, Dakshineswar, Belur Math, Bagbazar, Sovabazar, Ahiritola, Howrah Old & New, Armenian Ghat, Fairlie, Chandpal II, Fulleswar and Chandannagar Ranighat.
  • Mapping of markets (formal and informal), gender data (owners, employees, customers), vacant spaces and warehouses.
  • Transport nodes and routes (IWT & land), Social Infrastructure, Ferry Terminals, and connecting roads.

LULC (Cadastral)- Meghalaya

This project is focused on generating high-resolution Land-use Land-cover (LULC) data for Cadastral-Level Mapping in Meghalaya using drone imagery. The aim was to support land management, planning, and record digitization through accurate Spatial Data.

LULC (Cadastral)- Meghalaya_1
OBJECTIVES
  • Enable detailed feature extraction for cadastral boundaries and land parcel classification.
  • Support land record modernization and rural asset mapping with high-resolution geospatial data.
  • Improve transparency and accuracy in land ownership and usage documentation.
Scope of Work
  • Drone-Based Image Acquisition: Capture high-resolution aerial imagery across rural and semi-urban areas for detailed mapping.
  • Feature Extraction: Identify and classify Land Parcels, Built-Up Areas, Vegetation, Water Bodies, and Infrastructure using advanced image processing techniques.
  • Mapping of markets (formal and informal), gender data (owners, employees, customers), vacant spaces and warehouses.
  • Cadastral Map Integration: Overlay extracted features on existing cadastral maps for updating and verifying land ownership records.

Mining

This project involved the extraction of 2D features from High-Resolution Drone Imagery of a mining area to generate a detailed CAD-compatible map. The mapping provided critical Infrastructure, Utility, and Land Classification data for better planning and monitoring.

Mining_1 Mining_2
OBJECTIVES
  • Digitisation of Mine Infrastructure and surrounding land features using drone imagery.
  • Generate accurate CAD drawings for planning, monitoring, and compliance.
  • Support effective Land use analysis and Infrastructure assessment within the mining zone.
Scope of Work
  1. Feature Extraction: Identification and mapping of various surface elements including:
    • Infrastructure: Electric Poles, Transformers, Streetlights, Powerlines, Road Network, Haul roads, Drains, Overhead Tanks, and Bridges.
    • Water Bodies: Streams, Lakes, Ponds, Larger Wells, and Sumps.
    • Land Classification: Agricultural Land, Built-Up Area, Barren Area, Mine Area, and Plantations.
    • Utilities & Energy Assets: Streetlight lines and solar panels.
  2. Mapping Output:
    • Generated thematic layers and CAD-ready outputs.
    • Highlighted boundaries of Mine Areas, Built-Up Zones and Land use categories.
    • Mapped connectivity features including road networks and drainage systems.

GAIL – Pipeline Corridor Mapping

The project involved High-Resolution Drone-Based Mapping to extract and document features along the GAIL pipeline corridor. The goal was to monitor ground realities and support asset management and planning.

GAIL_1 GAIL_2 GAIL_3
OBJECTIVES
  • Extract all relevant surface features intersecting the pipeline corridor.
  • Attribute features with detailed information for identification and analysis.
  • Generate pipeline-specific reports for effective monitoring and issue resolution.
Scope of Work
  • Feature Extraction – Digitization of Roads, Railways, Buildings (Temporary/Permanent), Electric Poles, Canals, Nalas, Wells, and Boundary Walls along the pipeline corridor.
  • Attribution – Assigning detailed attributes to each feature, including type, alignment (LHS/RHS/Centerline), and risk relevance.
  • Reporting – Preparation of pipeline-wise reports summarizing extracted features and supporting future maintenance and compliance efforts.
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Phone: +91-9643002065 / +91-3335752689

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