Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature.

Wiesam Essa; Jonathan Huck; Okke Batelaan

doi:10.1109/M2GARSS47143.2020.9105314

Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature.

Wiesam Essa
, Jonathan Huck
, Okke Batelaan

National Centre for Groundwater Research and Training

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

1 Citation (Scopus)

Abstract

Urbanization increases land surface temperature (LST) due to urban surfaces radiating heat, which is influenced by variations in building materials, heights and spacing, and street geometry amongst other natural and manmade factors [1]. LST increases water consumption especially in summer, due to human behavior such as increased showering, drinking, entertainment and cooling. This research aims to use thermal remote sensing data and GIS tools to quantify the impact of LST on water consumption (WC) for the different seasons in Khan Younis Governorate, Palestine. Correlation was studied between water meter data for 2017 (28,000 houses) and the corresponding LST data of Landsat 8 at 100 m resolution. This study shows the potential of remotely sensed LST datasets for estimating WC under various seasonal climatic conditions, which has the potential to be a valuable tool for the management of water resources in urban areas.

Original language	English
Title of host publication	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings
Place of Publication	Tunisia
Publisher	Institute of Electrical and Electronics Engineers
Pages	208-211
Number of pages	4
ISBN (Electronic)	9781728121901
DOIs	https://doi.org/10.1109/M2GARSS47143.2020.9105314
Publication status	Published - Mar 2020
Event	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Tunis, Tunisia Duration: 9 Mar 2020 → 11 Mar 2020

Publication series

Name	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings

Conference

Conference	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020
Country/Territory	Tunisia
City	Tunis
Period	9/03/20 → 11/03/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

UN SDGs

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

SDG 6 Clean Water and Sanitation
SDG 11 Sustainable Cities and Communities

Keywords

Land Surface Temperature
Landsat 8
Pixel based analysis
Spatial Analysis.
Thermal Infra Red
Water Consumption

Access to Document

10.1109/M2GARSS47143.2020.9105314Licence: In Copyright

Cite this

Essa, W., Huck, J., & Batelaan, O. (2020). Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature. In 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings (pp. 208-211). (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/M2GARSS47143.2020.9105314

Essa, Wiesam ; Huck, Jonathan ; Batelaan, Okke. / Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature. 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings. Tunisia : Institute of Electrical and Electronics Engineers, 2020. pp. 208-211 (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings).

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title = "Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature.",

abstract = "Urbanization increases land surface temperature (LST) due to urban surfaces radiating heat, which is influenced by variations in building materials, heights and spacing, and street geometry amongst other natural and manmade factors [1]. LST increases water consumption especially in summer, due to human behavior such as increased showering, drinking, entertainment and cooling. This research aims to use thermal remote sensing data and GIS tools to quantify the impact of LST on water consumption (WC) for the different seasons in Khan Younis Governorate, Palestine. Correlation was studied between water meter data for 2017 (28,000 houses) and the corresponding LST data of Landsat 8 at 100 m resolution. This study shows the potential of remotely sensed LST datasets for estimating WC under various seasonal climatic conditions, which has the potential to be a valuable tool for the management of water resources in urban areas.",

keywords = "Land Surface Temperature, Landsat 8, Pixel based analysis, Spatial Analysis., Thermal Infra Red, Water Consumption",

author = "Wiesam Essa and Jonathan Huck and Okke Batelaan",

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doi = "10.1109/M2GARSS47143.2020.9105314",

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Essa, W, Huck, J & Batelaan, O 2020, Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature. in 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings. 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings, Institute of Electrical and Electronics Engineers, Tunisia, pp. 208-211, 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020, Tunis, Tunisia, 9/03/20. https://doi.org/10.1109/M2GARSS47143.2020.9105314

Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature. / Essa, Wiesam; Huck, Jonathan; Batelaan, Okke.
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings. Tunisia: Institute of Electrical and Electronics Engineers, 2020. p. 208-211 (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings).

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

TY - GEN

T1 - Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature.

AU - Essa, Wiesam

AU - Huck, Jonathan

AU - Batelaan, Okke

PY - 2020/3

Y1 - 2020/3

N2 - Urbanization increases land surface temperature (LST) due to urban surfaces radiating heat, which is influenced by variations in building materials, heights and spacing, and street geometry amongst other natural and manmade factors [1]. LST increases water consumption especially in summer, due to human behavior such as increased showering, drinking, entertainment and cooling. This research aims to use thermal remote sensing data and GIS tools to quantify the impact of LST on water consumption (WC) for the different seasons in Khan Younis Governorate, Palestine. Correlation was studied between water meter data for 2017 (28,000 houses) and the corresponding LST data of Landsat 8 at 100 m resolution. This study shows the potential of remotely sensed LST datasets for estimating WC under various seasonal climatic conditions, which has the potential to be a valuable tool for the management of water resources in urban areas.

AB - Urbanization increases land surface temperature (LST) due to urban surfaces radiating heat, which is influenced by variations in building materials, heights and spacing, and street geometry amongst other natural and manmade factors [1]. LST increases water consumption especially in summer, due to human behavior such as increased showering, drinking, entertainment and cooling. This research aims to use thermal remote sensing data and GIS tools to quantify the impact of LST on water consumption (WC) for the different seasons in Khan Younis Governorate, Palestine. Correlation was studied between water meter data for 2017 (28,000 houses) and the corresponding LST data of Landsat 8 at 100 m resolution. This study shows the potential of remotely sensed LST datasets for estimating WC under various seasonal climatic conditions, which has the potential to be a valuable tool for the management of water resources in urban areas.

KW - Land Surface Temperature

KW - Landsat 8

KW - Pixel based analysis

KW - Spatial Analysis.

KW - Thermal Infra Red

KW - Water Consumption

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DO - 10.1109/M2GARSS47143.2020.9105314

M3 - Conference contribution

AN - SCOPUS:85086721725

T3 - 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings

SP - 208

EP - 211

BT - 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers

CY - Tunisia

T2 - 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020

Y2 - 9 March 2020 through 11 March 2020

ER -

Essa W, Huck J, Batelaan O. Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature. In 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings. Tunisia: Institute of Electrical and Electronics Engineers. 2020. p. 208-211. (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings). doi: 10.1109/M2GARSS47143.2020.9105314

Characterizing Seasonal Residential Water Use in the Khan Younis Governorate Using Landsat 8 - Derived Land Surface Temperature.

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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