Design and development of land surface temperature calculation plugin of QGIS

Muhammad Rahmahalim; Fatwa Ramdani; Alfi Nur Rusydi

doi:10.1145/3427423.3427432

Design and development of land surface temperature calculation plugin of QGIS

Muhammad Rahmahalim
, Fatwa Ramdani^*
, Alfi Nur Rusydi

^*Corresponding author for this work

Faculty of Fisheries and Marine Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Land Surface Temperature (LST) is the temperature found in the outermost layer of the soil surface. Information about LST is very important because LST is a factor that can influence global climate change. There are several ways that can be used to obtain LST data, one of which is to use data obtained from satellites using the help of a satellite image data processing application such as raster calculator within QGIS. There are various plugins provided by QGIS to help its users. Plugins are additional tools designed to deal with various problems encountered. However, there is currently no plugin that automatically calculates the LST algorithm. LST algorithm calculations performed on the QGIS application still use manual methods so to get LST data requires a complex step to produce LST data. To facilitate the process of getting LST data, a plugin is needed that helps users to automatically calculate LST.

Original language	English
Title of host publication	Proceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020
Publisher	Association for Computing Machinery
Pages	206-212
Number of pages	7
ISBN (Electronic)	9781450376051
DOIs	https://doi.org/10.1145/3427423.3427432
Publication status	Published - 16 Nov 2020
Event	5th International Conference on Sustainable Information Engineering and Technology, SIET 2020 - Virtual, Online, Indonesia Duration: 16 Nov 2020 → 17 Nov 2020

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	5th International Conference on Sustainable Information Engineering and Technology, SIET 2020
Country/Territory	Indonesia
City	Virtual, Online
Period	16/11/20 → 17/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Indonesia
land surface temperature (LST)
plugin
QGIS

Access to Document

10.1145/3427423.3427432

Cite this

Rahmahalim, M., Ramdani, F., & Rusydi, A. N. (2020). Design and development of land surface temperature calculation plugin of QGIS. In Proceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020 (pp. 206-212). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3427423.3427432

@inproceedings{f106548114394f39bc391370e61661fb,

title = "Design and development of land surface temperature calculation plugin of QGIS",

abstract = "Land Surface Temperature (LST) is the temperature found in the outermost layer of the soil surface. Information about LST is very important because LST is a factor that can influence global climate change. There are several ways that can be used to obtain LST data, one of which is to use data obtained from satellites using the help of a satellite image data processing application such as raster calculator within QGIS. There are various plugins provided by QGIS to help its users. Plugins are additional tools designed to deal with various problems encountered. However, there is currently no plugin that automatically calculates the LST algorithm. LST algorithm calculations performed on the QGIS application still use manual methods so to get LST data requires a complex step to produce LST data. To facilitate the process of getting LST data, a plugin is needed that helps users to automatically calculate LST.",

keywords = "Indonesia, land surface temperature (LST), plugin, QGIS",

author = "Muhammad Rahmahalim and Fatwa Ramdani and Rusydi, \{Alfi Nur\}",

note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 5th International Conference on Sustainable Information Engineering and Technology, SIET 2020 ; Conference date: 16-11-2020 Through 17-11-2020",

year = "2020",

month = nov,

day = "16",

doi = "10.1145/3427423.3427432",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "206--212",

booktitle = "Proceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020",

}

Rahmahalim, M, Ramdani, F & Rusydi, AN 2020, Design and development of land surface temperature calculation plugin of QGIS. in Proceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 206-212, 5th International Conference on Sustainable Information Engineering and Technology, SIET 2020, Virtual, Online, Indonesia, 16/11/20. https://doi.org/10.1145/3427423.3427432

Design and development of land surface temperature calculation plugin of QGIS. / Rahmahalim, Muhammad; Ramdani, Fatwa; Rusydi, Alfi Nur.
Proceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020. Association for Computing Machinery, 2020. p. 206-212 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design and development of land surface temperature calculation plugin of QGIS

AU - Rahmahalim, Muhammad

AU - Ramdani, Fatwa

AU - Rusydi, Alfi Nur

PY - 2020/11/16

Y1 - 2020/11/16

N2 - Land Surface Temperature (LST) is the temperature found in the outermost layer of the soil surface. Information about LST is very important because LST is a factor that can influence global climate change. There are several ways that can be used to obtain LST data, one of which is to use data obtained from satellites using the help of a satellite image data processing application such as raster calculator within QGIS. There are various plugins provided by QGIS to help its users. Plugins are additional tools designed to deal with various problems encountered. However, there is currently no plugin that automatically calculates the LST algorithm. LST algorithm calculations performed on the QGIS application still use manual methods so to get LST data requires a complex step to produce LST data. To facilitate the process of getting LST data, a plugin is needed that helps users to automatically calculate LST.

AB - Land Surface Temperature (LST) is the temperature found in the outermost layer of the soil surface. Information about LST is very important because LST is a factor that can influence global climate change. There are several ways that can be used to obtain LST data, one of which is to use data obtained from satellites using the help of a satellite image data processing application such as raster calculator within QGIS. There are various plugins provided by QGIS to help its users. Plugins are additional tools designed to deal with various problems encountered. However, there is currently no plugin that automatically calculates the LST algorithm. LST algorithm calculations performed on the QGIS application still use manual methods so to get LST data requires a complex step to produce LST data. To facilitate the process of getting LST data, a plugin is needed that helps users to automatically calculate LST.

KW - Indonesia

KW - land surface temperature (LST)

KW - plugin

KW - QGIS

UR - https://www.scopus.com/pages/publications/85099020183

U2 - 10.1145/3427423.3427432

DO - 10.1145/3427423.3427432

M3 - Conference contribution

AN - SCOPUS:85099020183

T3 - ACM International Conference Proceeding Series

SP - 206

EP - 212

BT - Proceedings of 2020 International Conference on Sustainable Information Engineering and Technology, SIET 2020

PB - Association for Computing Machinery

T2 - 5th International Conference on Sustainable Information Engineering and Technology, SIET 2020

Y2 - 16 November 2020 through 17 November 2020

ER -

Design and development of land surface temperature calculation plugin of QGIS

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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