ArenIQ - Waterbody Encroachment Monitoring and Citizen Reporting System

Problem Statement

Rapid urbanization and unplanned development have led to increasing encroachments in water bodies and surrounding lands, resulting in the loss of natural drainage systems, reduced groundwater recharge, and frequent flooding during heavy rainfall. Existing monitoring methods rely heavily on manual inspections or public complaints, which are often delayed and fail to detect gradual or unnoticed encroachments. There is a critical need for a continuous, automated monitoring system capable of identifying land-use changes at an early stage and supporting timely administrative action.

Proposed Idea / Solution

• AREN IQ proposes an AI-driven geospatial monitoring system that utilizes periodic satellite imagery and image analysis techniques to automatically detect land encroachments. The system analyzes historical and current satellite data to identify abnormal changes such as construction, land filling, sand mining, or reduction in water spread area.

• Alongside automated monitoring, a mobile application enables citizens to report encroachments by capturing images and tagging locations. Both satellite detection and citizen reports are integrated into a unified platform that sends alerts to the respective authorities and ensures time-bound escalation if action is delayed.

• Chengalpattu District is selected as the pilot region due to its rapid urban expansion and dense waterbody network, making it suitable for real-world validation.

Technology Stack

• The satellite monitoring platform uses Python for geospatial processing with Sentinel-2 satellite imagery accessed through Google Earth Engine. Image analysis techniques such as NDWI calculation, image differencing, and Random Forest classification are applied using OpenCV and machine learning libraries.

• The web dashboard is developed using React.js for visualization and Node.js for backend services. Alerts and notifications are handled through Firebase Cloud Messaging (FCM).

• The public reporting mobile application is built using Flutter, with GPS-based authentication through Firebase Authentication (OTP), data storage using Firebase Realtime Database, and image uploads managed via Firebase Cloud Storage.

Scalability

ARENIQ is designed as a cloud-based solution that does not require additional hardware infrastructure. Since satellite processing is handled through Google Earth Engine, the same workflow can monitor multiple districts simultaneously. The system can be easily scaled from the pilot implementation in Chengalpattu district to all districts across Tamil Nadu and later expanded to other states or countries by simply updating the monitoring region.

Innovations

1. Dual verification system combining satellite intelligence and citizen reporting

2. Smart alert prioritization based on risk level and historical activity

3. Seasonal awareness analysis to avoid false alerts caused by natural water variation

4. Automated escalation workflow to improve administrative accountability

5. Continuous monitoring instead of complaint-based reactive systems

Expected Impact

1. Early identification and prevention of waterbody encroachments

2. Reduction in urban flood risks through preservation of natural drainage systems

3. Improved monitoring efficiency without additional manpower

4. Increased citizen participation in environmental protection

5. Data-driven support for sustainable urban planning

Alignment with Sustainable Development Goals (SDGs)

The proposed system contributes to:

• SDG 6 – Clean Water and Sanitation

• SDG 11 – Sustainable Cities and Communities

• SDG 13 – Climate Action

• SDG 15 – Life on Land

Expected Outcome

The project aims to deliver a scalable prototype capable of continuously monitoring water bodies, detecting encroachments at an early stage, and enabling faster governance response. While piloted in Chengalpattu district, the architecture is designed for seamless expansion across Tamil Nadu and beyond.