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CliQ INDIA > Noida > Greater Noida Industrial Development Authority Signs MoU with National Remote Sensing Centre to Develop AI-Based Encroachment Monitoring System
Noida

Greater Noida Industrial Development Authority Signs MoU with National Remote Sensing Centre to Develop AI-Based Encroachment Monitoring System

cliQ India
cliQ India
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Greater Noida | 26 February 2026

The Greater Noida Industrial Development Authority (GNIDA) has initiated the development of an AI-based Encroachment Monitoring System in collaboration with the Indian Space Research Organisation’s National Remote Sensing Centre (NRSC). An MoU was signed between Greater Noida Authority and NRSC in Delhi on Thursday, formalising a strategic partnership aimed at strengthening land governance through advanced technology.

This marks the first initiative of its kind undertaken by any development authority in the country, positioning Greater Noida at the forefront of technology-driven urban administration.

Representing the Authority at the MoU signing were ACEO Sumit Yadav, GM Project AK Singh, and Manager Abhishek Pal. The project is being implemented under the direction of Chief Executive Officer NG Ravi Kumar, IAS. The initiative is focused on ensuring transparency, scientific management, and effective enforcement in land administration across Greater Noida.

The project integrates Artificial Intelligence with high-resolution satellite imagery to identify, analyse, and report cases of encroachment. By leveraging advanced space-based data and AI-powered analytics, the Authority aims to establish a robust monitoring framework capable of detecting unauthorised land occupation in a timely and systematic manner.

The proposed system will enable GNIDA to access time-bound and accurate information, conduct GIS-based visual analysis, and adopt data-driven decision-making processes. The integration of satellite imagery with AI tools will allow precise mapping, automated detection of changes in land use patterns, and continuous monitoring of public land and assets. This will significantly enhance the Authority’s ability to prevent encroachments and take swift enforcement action whenever required.

Under the terms of the MoU, NRSC will develop AI-based analytical models, a comprehensive monitoring dashboard, and an alert system tailored to the Authority’s operational requirements. These tools will facilitate real-time monitoring and structured reporting mechanisms. In addition, NRSC will provide training and technology transfer to GNIDA to ensure long-term implementation, operational sustainability, and institutional capacity building within the Authority.

Chief Executive Officer NG Ravi Kumar stated that the initiative marks an important milestone in the direction of technology-enabled governance. He said that collaboration with ISRO will bring greater transparency, precision, and accountability in land protection and the management of public assets. He emphasised that adopting advanced technological solutions is essential for modern urban governance and will strengthen public trust in administrative systems.

Additional Chief Executive Officer Sumit Yadav, who is leading the project, stated that AI and satellite-based monitoring will substantially enhance the Authority’s ability to prevent encroachments and take effective action. He noted that the initiative represents a crucial step towards establishing a smart, data-driven, and proactive enforcement mechanism. According to him, the system will significantly improve monitoring efficiency and enable early detection of unauthorised developments.

With this pioneering move, Greater Noida has become the first development authority in India to adopt an AI-integrated satellite monitoring system for encroachment management. The initiative reflects the Authority’s commitment to innovation, transparency, and efficient land administration, setting a benchmark for other development authorities across the country.

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Previous Article Greater Noida Authority Signs MoU with ISRO’s NRSC to Develop AI-Based Encroachment Monitoring System
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