DERIVATION OF LAND SURFACE TEMPERATURE (LST) FROM LANDSAT 7 &amp; 8 IMAGERIES AND ITS RELATIONSHIP WITH TWO VEGETATION INDICES (NDVI AND GNDVI)

Richard J U,Ibochi Andrew Abah

doi:10.29121/granthaalayah.v7.i2.2019.1013

DERIVATION OF LAND SURFACE TEMPERATURE (LST) FROM LANDSAT 7 & 8 IMAGERIES AND ITS RELATIONSHIP WITH TWO VEGETATION INDICES (NDVI AND GNDVI)

Richard J U, Ibochi Andrew Abah

Open Access

https://doi.org/10.29121/granthaalayah.v7.i2.2019.1013

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Abstract

Land surface temperature (LST) fluctuation is a global problem that is responsible for regional and global climate change. Abnormal LST causes drought, depletion of ozone layers, skin and lung diseases and also affect crops production. Spatial distribution of surface temperature has become an issue especially to less developed countries with little or absent of temperature stations to report daily or monthly temperature of the area. This study utilized remote sensing approach to estimate land surface temperature, NDVI and GNDVI of Port Harcourt, Rivers State, Nigeria. The study was conducted using Landsat imageries of two epochs (1990 and 2017) which was downloaded using path 188 and row 57. The images were converted from DN to TOA radiance using algorithm specified in the Landsat user’s guide. The highest estimated LST in 1990 and 2017 map was 28.77°C and 29.37°C. Also, in 1990 the highest LST was recorded in Diobu and part of Old Port Harcourt Township while in 2017 maximum temperature extended from Diobu to Trans-amadi. The increase LST was due to urbanization and industrialization in the city. The study observed mean difference between estimated LST of 1990 and 2017 and that observed by NIMET as 1.24°C and 2.91°C respectively. There was positive correlation coefficient of 0.09 and 0.4 between LST against NDVI in 1990 and in 2017 and between LST against GNDVI of 0.19 and 0.30 was also observed in both years. This study justified that remote sensing and GIS can be used to derive LST which can be used for environmental studies and research purposes. For further study, LST should be estimated in all the state and their values validate with in-situ observations.

Highlights

This study evaluates the trend of land surface temperature in the city between 1990 and 2017 using Landsat satellite imageries
The moderately high surface temperature values ranges from 22.27°C – 24.43°C, represented by Cantaloupe colour located in the light vegetation and mangrove vegetation in the east of Eagle Island, south of Abuloma, east of Amadi-ama road towards Dr Peter Odili road and in the fringes of built-up and mangrove swamp in the southern part of Borokiri
The high land surface temperature zones which was represented on the map with Ginger pink ranges from 24.43°C – 26.60°C

Summary

Introduction

Land surface temperature (LST) is defined as the temperature at a particular location on the earth’s surface [1]. It is synonymous with global temperature (GT), sea surface temperature (SST), and land surface air temperature (LSAT) [2]. The estimation of surface temperature has been extended from the in-situ-based observations to the remote sensing-based methods. The remote sensing method of estimating surface temperature has the following advantages; large area coverage, ability to estimate temperature in accessible areas, very efficient and effective method, and above all, is cost effective. Remote sensing has been used in the field of meteorology and climatology in the estimation of surface temperature [3]; [4]

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Discussion

Conclusion