Content uploaded by Gulam Mohiuddin
Author content
All content in this area was uploaded by Gulam Mohiuddin on May 28, 2022
Content may be subject to copyright.
Gulam Mohiuddin and Jan-Peter Mund
1 1
Eberswalde University for Sustainable Development
Cooling Effect of Urban Green Infrastructure in Urban Areas:
A Study using Land Surface Temperature
1
2016 to 2018
High : 8.25
Low : -7.29 ·
0 10 205
Kilometers
High : 8.25
Low : -7.29
High : 8.25
Low : -7.29
Urban areas show higher land surface temperature (LST), as well as, air temperature due to urban heat island
(UHI) (Arya, 2001). UHI is directly linked with negative effects on human health like heat stress (Kunst et al.,
1993), creating more heat waves (Tan et al., 2010), increasing atmospheric pollution (Sarrat et al., 2006).
LST is considered a suitable physical parameter to understand UHI Copernicus, 2015).
This study aims to assess the LST change on urban green infrastructure (UGI) and rest of the land uses in
Phnom Penh in the period of 2016 to 2020 to see if there is a cooling effect of the UGI in terms of LST.
The specific objectives of this research are:
(1) to assess LST changes within the period of 2016-2020, and
(2) analysing the LST changes between UGI area and other land uses.
This study also serves as a baseline study for the continuous thermal monitoring.
Introduction
Result and Outlook
2018 to 2020 2016 to 2020
Material and Method
Relatively high level cloud coverage throughout the year is a common problem for multispectral remote
sensing in tropical areas. Images for the study were selected considering both overall cloud coverage and
cloud coverage over the study area. Because of cloud coverage, only images from 2016, 2018 and 2020
were selected for this study.
Relative LST change
LST at 3 observation times
2016 2018 2020
in °C Upto 19 19 - 21 21 -23 above 23
Amount
of change
(in ƒC)
Category
Up to -0.5 Decreased
-0.5 to 0.5 Not changed
0.5 to 1.5 Slightly increased
1.5 to 3 Increased
Above 3 Significantly increased
Decreased
Not changed
Slightly increased
Increased
Significantly increased
0
5
10
15
20
25
30
Minimum Temp. Mean Temp. Maximum Temp.
Temperature in ƒC
Changes in LST (2016-2020)
2016 2018 2020
Based on the range of changes a qualitative scale is established to understand the change between 2016 and
2020 in a more comprehensive way.
Implemented by Supported by Inspired by
There is a gradual increase in minimum, maximum and mean
LST in Phnom Penh over the period of 2016 to 2020.
Study area
*The above scale is relevant for all maps of Phnom Penh in this poster.
LST Change (2016 - 2020)
Work package 4: Urban Green Infrastructure, Build4People Project (www.build4people.org)
1
Sources: Esri, HERE, Garmin, USGS, Intermap, INCREMENT P, NRCan, Esri Japan, METI, Esri
China (Hong Kong), Esri Korea, Esri (Thailand), NGCC, (c) OpenStreetMap contributors, and the
GIS User Community
Source: Esri, Maxar, GeoEye, Earthstar Geographics,
CNES/Airbus DS, USDA, USGS, AeroGRID, IGN,
and the GIS User Community
Municipality area of Phnom Penh
Administrative boundary UGI
0 5 10 15 20 25
Minimum (2016)
Minimum (2020)
Maximum (2016)
Maximum (2020)
Mean (2016)
Mean (2020)
Temperature in ƒC
Comparative descriptive statistics of LST between
UGI and other land uses (2016-2020)
Other land uses UGI
On the 3 observation points, it is observed that LST in UGI
areas have increased less compared to other land uses.
There is an indication that UGI areas having a relative cooling
effect in comparison the other land uses in Phnom Penh.
Further study is needed (e.g. time series with longer period)
to draw any conclusive statement.
Gulam Mohiuddin
Contact
Gulam.Mohiuddin@hnee.de
Eberswalde University for Sustainable Development
Building 11, Room 304
Alfred-Möller-Straße 1
16225 Eberswalde
The western part of the city faced more increase in LST within
the study period.
0
5
10
15
20
25
30
35
40
45
50
Decreased Not changed Slightly
increased
Increased Significantly
increased
Changes in %
LST change comparison between UGI and other
land use
UGI Other land use