Mapping Urban Heat Island for Different Land Cover Types in Louisiana

Purpose: To evaluate temperature changes beforeand after COVID-19

Supervisors: Dr. Yaw Twumasi (Southern University A&M College)

Software: ArcGIS Pro, GEEMap, R-Studio,

Skills: Machine Learning, Data processing with Python and R programming, Data Analysis with ArcGIS Pro, Research

Introduction

Urban areas experience higher temperatures than outlying areas. This difference in temperature is what constitutes an urban heat island (UHI). Difference in temperature has to do with changes in radiative and thermal properties of impervious surfaces (i.e. heat -absorbing buildings and pavement). Temperatures vary within cities due to the spatial distribution of water, soil, vegetation, and impervious surfaces. This project sough to;

  • Perform land cover classification for three different Regions of Interest

  • Assess Land Surface Temperature before and after lockdown

  • Extract the LST for the different land cover types

Study Area and Data Process

Deriving Land Surface Temperature

Land Cover Variations in ROI’s

Land Surface Temperature Outputs for Regions of Interest

LST During-COVID 2020

Land Surface Temperature Distribution Curves across ROI’s