Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018

Doctor of Philosophy (Research Methodology), 2021

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Bibliographic Details
Main Author: Prasetya, Tofan Agung Eka
Other Authors: Sarawuth Chesoh
Format: Theses and Dissertations
Language:English
Published: Prince of Songkla University 2023
Subjects:
Online Access:http://kb.psu.ac.th/psukb/handle/2016/17845
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Institution: Prince of Songkhla University
Language: English
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spelling th-psu.2016-178452023-02-23T09:12:06Z Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018 Prasetya, Tofan Agung Eka Sarawuth Chesoh Faculty of Science and Technology (Mathematics and Computer Science) คณะวิทยาศาสตร์และเทคโนโลยี ภาควิชาคณิตศาสตร์และวิทยาการคอมพิวเตอร์ Land Surface Temperature Elevation NDVI Statistical model Climatic changes Mathematical models Mathematical statistics Sumatra Island Indonesia Doctor of Philosophy (Research Methodology), 2021 Global warming could be assessed by estimating the Land Surface Temperature (LST) change in a regional and global area. The aims of this study were (1) to determine seasonal patterns and trends in time-series data LST in Sumatra Island and (2) in Sumatra Island, Indonesia, to study the relationships between LST, elevation, land cover (LC), and the Normalized Difference Vegetation Index (NDVI). The data were obtained from NASA Moderate Resolution Imaging Spectroradiometer (MODIS) website and focused on during 2000-2018. The cubic splines had been applied to investigate the seasonal patterns and time series trends of LST change and simple linear regression had been applied to analyze the relationship between elevation, LC, and NDVI with LST change in Sumatra Island. In 2018, approximately 44.6% of Sumatera area was evergreen broadleaf forest where the urban area only covered 0.51% of the whole area. Cubic spline result identifying the trend indicated that 36.2% of Sumatera experiencing decreasing of LST change and other 27.7% increasing of LST change. Furthermore, linear regression identified the factors which concluded the lowest LST change occurred in elevation 60-109 meter above sea level (MASL) evergreen broadleaf forest with NDVI less than 0.75 and the highest change occurred in 320+ MASL Savannas with NDVI 0.8-1.0. Based on the 3 determinants, LST decreased by 0.122 °C on an overall mean per decade. The findings can be applied to monitor environmental changes, particularly the state of the regional climate change relating to planting crops, agricultural expansion and deforestation. However, the other factors need to be taken into account in the model. 2023-02-23T09:10:35Z 2023-02-23T09:10:35Z 2021 Thesis http://kb.psu.ac.th/psukb/handle/2016/17845 en Attribution-NonCommercial-NoDerivs 3.0 Thailand http://creativecommons.org/licenses/by-nc-nd/3.0/th/ application/pdf Prince of Songkla University
institution Prince of Songkhla University
building Khunying Long Athakravi Sunthorn Learning Resources Center
continent Asia
country Thailand
Thailand
content_provider Khunying Long Athakravi Sunthorn Learning Resources Center
collection PSU Knowledge Bank
language English
topic Land Surface Temperature
Elevation
NDVI
Statistical model
Climatic changes Mathematical models
Mathematical statistics Sumatra Island Indonesia
spellingShingle Land Surface Temperature
Elevation
NDVI
Statistical model
Climatic changes Mathematical models
Mathematical statistics Sumatra Island Indonesia
Prasetya, Tofan Agung Eka
Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018
description Doctor of Philosophy (Research Methodology), 2021
author2 Sarawuth Chesoh
author_facet Sarawuth Chesoh
Prasetya, Tofan Agung Eka
format Theses and Dissertations
author Prasetya, Tofan Agung Eka
author_sort Prasetya, Tofan Agung Eka
title Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018
title_short Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018
title_full Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018
title_fullStr Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018
title_full_unstemmed Statistical Model of Land Surface Temperature in Sumatra Island, Indonesia: 2000-2018
title_sort statistical model of land surface temperature in sumatra island, indonesia: 2000-2018
publisher Prince of Songkla University
publishDate 2023
url http://kb.psu.ac.th/psukb/handle/2016/17845
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