USING A SPLIT-WINDOW ALGORITHM FOR THE RETRIEVAL OF THE LAND SURFACE TEMPERATURE VIA LANDSAT-8 OLI/TIRS

IF 0.7 Q4 GEOGRAPHY, PHYSICAL

Geographia Technica Pub Date : 2021-03-02 DOI:10.21163/GT_2021.163.03

C. Auntarin, P. Chunpang, W. Chokkuea, T. Laosuwan

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引用次数: 1

Abstract

: Climate change has worsened and has widespread impact. This is partly due to the release of greenhouse gases from human activities, which cause the greenhouse effect. This leads to the global temperature rising to an unusual level, otherwise known as global warming. This study aimed to use a split-window algorithm to retrieve the land surface temperature via Landsat-8 OLI/ TIRS data in the Roi Et province area. The research methodology included 1) separating the Landsat-8 OLI data into four types of land use, i.e. the agricultural, forest, urban and water areas and 2) the data for Landsat-8 OLI bands 4 and 5 and Landsat-8 TIRS (bands 10, 11) being analysed to retrieve the land surface temperature using a split-window algorithm. The results from the land-use separation showed that the total area of Roi Et was 8,299.46 km 2 divided into a 4,787 km 2 agricultural area, which accounted for 60.81%; a 1,555 km 2 forest area, accounting for 19.75%; a 1,212 km 2 urban area, accounting for 15.39% and a 317.44 km 2 water area, accounting for 4.03%. The land surface temperature analysis result using a split-window algorithm indicated that the average temperature of Roi Et was 34.74°C. Moreover, it was found that the land surface temperature of the urban area had the highest mean land surface temperature, followed by the forest area, the agricultural area and the water source area, respectively.

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基于LANDSAT-8oli/TIRS的分窗口地表温度反演算法

：气候变化恶化，影响广泛。这在一定程度上是由于人类活动释放的温室气体造成的温室效应。这导致全球气温上升到一个不寻常的水平，也被称为全球变暖。本研究旨在使用分窗算法，通过陆地卫星8号OLI/TIRS数据检索罗伊省地区的地表温度。研究方法包括：1）将陆地卫星-8的OLI数据分为四种类型的土地利用，即农业、森林、城市和水域；2）分析陆地卫星-8 OLI波段4和5以及陆地卫星-8 TIRS（波段10、11）的数据，以使用分窗算法检索地表温度。土地利用分区结果表明，Roi-Et总面积为8299.46km2，分为4787km2的农业区，占60.81%；森林面积1555km2，占19.75%；1212km2的城区，占15.39%，317.44km2的水域，占4.03%。使用分窗算法的地表温度分析结果表明，Roi-Et的平均温度为34.74°C。此外，发现城区的地表温度平均地表温度最高，其次是林区，农业区和水源区。

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来源期刊

Geographia Technica GEOGRAPHY, PHYSICAL-

CiteScore

2.30

自引率

14.30%

发文量

期刊介绍： Geographia Technica is a journal devoted to the publication of all papers on all aspects of the use of technical and quantitative methods in geographical research. It aims at presenting its readers with the latest developments in G.I.S technology, mathematical methods applicable to any field of geography, territorial micro-scalar and laboratory experiments, and the latest developments induced by the measurement techniques to the geographical research. Geographia Technica is dedicated to all those who understand that nowadays every field of geography can only be described by specific numerical values, variables both oftime and space which require the sort of numerical analysis only possible with the aid of technical and quantitative methods offered by powerful computers and dedicated software. Our understanding of Geographia Technica expands the concept of technical methods applied to geography to its broadest sense and for that, papers of different interests such as: G.l.S, Spatial Analysis, Remote Sensing, Cartography or Geostatistics as well as papers which, by promoting the above mentioned directions bring a technical approach in the fields of hydrology, climatology, geomorphology, human geography territorial planning are more than welcomed provided they are of sufficient wide interest and relevance.