Mouza Map Digitization

The Government of Bangladesh launched the “Mouza and Plot-Based National Digital Land Zoning Project” with the help of Synesis IT to establish a digital land management system, ensuring sustainable and efficient land utilization.

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Mouza Map Digitization

Introduction
Challenges
Solution
Features
Technology
Expertise
Impact
Conclusion

Introduction to the Project

Synesis IT developed a comprehensive geo-database by digitizing Mauza maps, leveraging advanced GIS and CAD software. The digitized system categorizes land based on socio-economic, environmental, and agricultural factors, enabling informed land management decisions. The process involved precise geo-referencing, edge matching, and ground truthing to ensure the accuracy and utility of the maps for land zoning.

Challenges Before Automation

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Unplanned Land Development

Rapid urbanization and agricultural expansion threatened sustainable land use.

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Lack of Unified Digital System

Absence of a cohesive digital platform hindered optimal land management.

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Agricultural Land Vulnerability

Preservation of agricultural areas was at risk due to unregulated development.

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Solution Overview

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Mouza Map Digitization

Converted physical maps into a digital format using ArcGIS and CAD software.

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Geo-Database Creation

Built a robust GIS database with unique identifiers for features like points, lines, and polygons.

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Ground Truthing

Conducted field surveys to validate and update land use data for accurate zoning.

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Comprehensive Zoning Tool

Enabled data-driven decisions for sustainable land management.

Key Features

Data Collection & Accuracy

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Onscreen Digitization

Mauza maps were digitized with unique IDs for features.

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Ground Truthing & Field Surveys

Validated digital maps with real-world data for precision.

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Edit-Plot Accuracy Checks

Superimposed original maps on digital layouts to ensure accuracy.

Integration & Management

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Geo-referencing

High-resolution satellite images ensured accurate alignment with real-world coordinates.

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Edge Matching for Seamless Integration

Created a mosaic of Mauza maps to merge regional features.

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GIS Database Creation

Developed a centralized database for effective land zoning and planning.

Technology Platform

PostgreSQL

Arc GIS Server Enterprise Edition

HTML

Core Expertise

Cyber Security

DevOps

Big Data Management

Geographic Information System

Impact

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Sustainable Land Management

Enabled informed decisions on land use while preserving vital agricultural areas.

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Efficient Zoning

Facilitated seamless categorization and regulation of land across Bangladesh.

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Enhanced Accuracy

Geo-referenced and ground-truthed data ensured reliable land management insights.

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Data-Driven Planning

Provided a comprehensive tool for stakeholders to address socio-economic and environmental challenges.

Conclusion

The Mouza Map Digitization and Geo-database Creation project has paved the way for a more efficient and planned land management system in Bangladesh. By creating a comprehensive digital map and zoning system, the project ensures better land use planning, supports agricultural protection, and promotes sustainable development. The project provides the government with a powerful tool to regulate and optimize land use while balancing social, economic, and environmental needs.