Development of Modeler for Automated Mapping of Land Surface Temperature Using GIS and LANDSAT-8 Satellite Imagery

Year 2022, Volume: 9 Issue: 2, 54 - 59, 02.06.2022

Sachin Sutariya Hirapara Ankur Mukesh Tiwari

https://doi.org/10.30897/ijegeo.820906

Cited By: 1

Abstract

Land surface temperature (LST) can be described as the temperature of the earth’s surface and it is most important parameters in climate change, evapotranspiration, urban climate, vegetation monitoring and environmental studies. LST, calculated from remote sensing data, is used in many areas of science such as; hydrology, agriculture, forestry, oceanography etc. The main objective of this study was to develop a model making the LST retrieval process quite simple and automated. This model developed using the ArcGIS Desktop 10.3.1 with the Model Building. Without the model, the process of retrieving LST is very long, and it is susceptible to many mistakes. In this model when user inputs required bands (4,5 and 10) of Landsat-8 data then the model calculate automatically LST and display output. The model first makes the conversions to top of atmosphere (TOA) spectral radiance. Then NDVI is calculated based on band 4 and 5 (NIR and RED) reflectance. Then using the TOA and NDVI model calculates brightness temperature (BT) and Proportion of Vegetation respectively. After that it calculate Land Surface Emissivity with the help of NDVI and Proportion of Vegetation and finally, the model calculates land surface temperatures in degrees Celsius. The findings highlight the capabilities of GIS modelers for such spatial estimation. The developed model can be helpful to field engineers and researchers for using Landsat-8 images for direct estimation of LST, to be used for different other studies to derive LST based products.

Keywords

Model, LANDSAT-8 data, Land surface temperature (LST), ArcGIS Desktop

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