Use of Land Surface Temperature Estimation with Geographical Information Tools for Validation of Numerical Microclimate Studies at Urban Scale

Miguel Chen Austin,Mileyka Bustamante,Dafni Mora

doi:10.1051/e3sconf/202131206004

Abstract

For this study, different approaches found in the literature to obtain the Land Surface Temperature (LST) were evaluated through Geographic Information tools, to validate the temperature results obtained from dynamic simulations at urban scale with the Envi-met software. Here, the case study is an urban section of the Historic center of Panama City named Casco Antiguo. From the dynamic simulation results, the surface temperature was analyzed for March at 15:00. Concerning the results obtained for March, the Online Global Land Surface Temperature Estimation tool provided the best characteristics when validating the data obtained with Envi-met. It was found that the Landsat 7 images, applying the emissivity method ASTER and NDVI, provided data more stable and closer to the ones we wanted to validate.

Highlights

The problems caused by Climate Change have generated special interest in research related to mitigation and adaptation techniques to Climate Change
The ASTER emissivity is recommended for cases of natural/isolated landscapes, without significant changes in land cover, or used for Land Surface Temperature (LST) recoveries of Landsat observations acquired between 2000 and 2008, which is the period of time corresponding to the data acquisition of this ASTER product [7]
It is necessary to validate the temperature values obtained with the Envi-met software, for the months of March and October, so the Geographic Information Systems (GIS) tools are applied to obtain temperature values in those months and be able to carry out the validation

Summary

Introduction

Among them are Bioclimatic techniques in Buildings, which seek to achieve greater comfort for the inhabitants while reducing energy consumption in homes. In these investigations, it is common to analyze the microclimate that surrounds the buildings. Microclimate simulation software can be employed, but the results obtained from such software cannot always be validated with insitu radiometers, thermometers, hygrometers, anemometers, among others. This research proposes to use Geographic Information Systems (GIS) as tools to validate the microclimate results, the surface temperature, obtained from dynamic simulations at urban scale with the Envi-met software. The QGIS software is implemented for such purpose under the hypothesis that literature algorithms allow to confidently determine the land surface temperature (reference measurement), as former authors have done

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Conclusion