Mouza Map Digitization
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
Unplanned Land Development
Rapid urbanization and agricultural expansion threatened sustainable land use.
Lack of Unified Digital System
Absence of a cohesive digital platform hindered optimal land management.
Agricultural Land Vulnerability
Preservation of agricultural areas was at risk due to unregulated development.
Solution Overview
Mouza Map Digitization
Converted physical maps into a digital format using ArcGIS and CAD software.
Geo-Database Creation
Built a robust GIS database with unique identifiers for features like points, lines, and polygons.
Ground Truthing
Conducted field surveys to validate and update land use data for accurate zoning.
Comprehensive Zoning Tool
Enabled data-driven decisions for sustainable land management.
Key Features
Data Collection & Accuracy
Onscreen Digitization
Mauza maps were digitized with unique IDs for features.
Ground Truthing & Field Surveys
Validated digital maps with real-world data for precision.
Edit-Plot Accuracy Checks
Superimposed original maps on digital layouts to ensure accuracy.
Integration & Management
Geo-referencing
High-resolution satellite images ensured accurate alignment with real-world coordinates.
Edge Matching for Seamless Integration
Created a mosaic of Mauza maps to merge regional features.
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
Sustainable Land Management
Enabled informed decisions on land use while preserving vital agricultural areas.
Efficient Zoning
Facilitated seamless categorization and regulation of land across Bangladesh.
Enhanced Accuracy
Geo-referenced and ground-truthed data ensured reliable land management insights.
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.