GIS Based Identification of Land

Project Overview

LGEOM undertook a drone survey project for the Government of Madhya Pradesh under the Madhya Pradesh Road Sector Project (MPRSP). The project aimed to collect high-resolution aerial data for approximately 1000 kilometers of selected roads and 25 bridges to support infrastructure assessment and planning. The collected data was processed to extract detailed road and bridge attributes for further analysis and decision-making.

Project Objectives

The primary objectives of the project were:

• Acquire high-resolution aerial imagery of selected roads and bridges.
• Extract road and bridge features using advanced image processing techniques.
• Create detailed digital models of road and bridge infrastructure
• Provide accurate and reliable data for infrastructure assessment and planning.

Project Scope

The project encompassed the following key activities:

• Drone Survey Planning: Development of flight plans and coordination with relevant stakeholders.
• Data Acquisition: Collection of aerial imagery using drones for selected roads and bridges.
• Image Processing: Processing of aerial imagery to generate orthomosaics, digital surface models, and digital terrain models.
• Feature Extraction: Extraction of road and bridge features using image processing and GIS techniques.
• Data Delivery: Delivery of extracted data in the specified format to the client.

Project Methodology

The project followed a systematic approach, combining drone technology, image processing, and GIS analysis. Key steps included:

• Drone Flight Planning: Careful planning of flight paths to ensure optimal image coverage and data accuracy.
• Data Acquisition: Deployment of drones for aerial data collection, adhering to safety regulations.
• Image Processing: Utilization of advanced image processing software to generate high-quality outputs.
• Feature Extraction: Employing image analysis techniques and GIS tools to extract road and bridge features.
• Data Validation: Implementation of quality control measures to ensure data accuracy and completeness.

Project Challenges and Solutions

The project encountered challenges such as weather conditions, terrain variations, and data processing complexities. This was addressed through:

• Weather Monitoring: Continuous monitoring of weather conditions to optimize flight operations.
• Flight Planning Adjustments: Adapting flight plans to accommodate changing weather conditions.
• Data Pre-processing: Implementing robust data pre-processing techniques to enhance image quality.
• Advanced Image Processing Techniques: Utilizing advanced algorithms for accurate feature extraction.

Project Outcomes and Impact

The successful completion of the project resulted in:

• High-resolution aerial imagery of selected roads and bridges.
• Accurate extraction of road and bridge features.
• Creation of detailed digital models for infrastructure assessment.
• Support for infrastructure planning and decision-making
• Enhanced understanding of road and bridge conditions.

Key Performance Indicators

The project's success was measured through the following KPIs:

• Accuracy of extracted road and bridge features.
• Completeness of data collection.
• Adherence to project timelines and budget.
• Client satisfaction with the delivered data.

Conclusion

The drone survey project for the Government of Madhya Pradesh has successfully delivered high-quality aerial data and extracted valuable information for road and bridge infrastructure assessment. The project demonstrated LGEOM's expertise in drone technology, image processing, and GIS analysis. The data generated can be utilized for various infrastructure planning and management purposes.