A CNN Model for Determining the Land Acquisition in Chennai Puzhal Lake Using Edge Impulse and Justifying the Anomaly with Computer Vision

Abstract

Artificial intelligence has had a significant impact on all sustainable development goals. Disaster management is one of the most pressing challenges of this day, as highlighted in Sustainable Development Goals 13 and 15. And this technology, artificial intelligence, has a stronger impact on proper urban planning and disaster management. Disasters are divided into two types: natural and man-made. Natural disasters are uncontrollable, whereas man-made disasters can be expected and managed. Though there are numerous reasons for man-made catastrophes, increased urbanization and land purchase to conceal urban water bodies are solid root causes of disasters such as floods in metropolitan areas. AI has a crucial role in estimating the annual rate of increase in land acquisition. Considering the new era of technology, using the Bhuvan 2.0 software, the satellite image (considering the satellite map) of Puzhal Lake is obtained from the Bhuvan 2.0 website for the years 2015, 2017, and 2021. In this paper, an attempt is made to use a computer neural network with these images in Edge Impulse software to determine the occurrence of land acquisition around Puzhal Lake, as well as to determine the anomaly by comparing satellite images of the lake taken in 2015 and 2021 using computer vision.