Algorithms for Intelligent System

Abstract

Sentinel-2 and Landsat-8 satellite images are effective ways for the Earth's surface monitoring, and their images are readily accessible for interpretation and analysis of land surface monitoring. Satellite images are frequently used in land surface monitoring applications such as urban planning, vegetation monitoring, and territorial planning administrations. The advent of satellite images has created a viable framework for tracking land changes in cities. Urban heat is thought to be the cause of higher temperature values in urban areas when compared to their surroundings. The link between the land surface and the atmosphere is influenced by land surface temperature (LST), which is an essential parameter in many scientific fields. Sentinel-2 and Landsat-8 images of Lucknow city taken over the summer months from 2017 to 2021 are used in this study to determine the correlation between urban areas and LST to assess the impact of rapid urbanization on land surface temperature rise. Urban area monitoring will be useful for policymakers in the future for planned urbanization and managing resources to develop sustainable and smart cities.