Spatiotemporal Changes of Urban Land Surface Albedo Impact on
Thermal Environment in Bucharest Metropolitan City
MARIA A. ZORAN1*, ROXANA SAVASTRU1, DAN SAVASTRU1, MARINA N. TAUTAN1,
ADRIAN C. PENACHE2
1National Institute of R&D for Optoelectronics,
Bucharest- Magurele,
ROMANIA
2University of Bonn, Geography Department,
Bonn,
GERMANY
*Corresponding Author
Abstract: - This study aims to identify the impact of increasing urbanization in the Bucharest metropolitan area
in Romania on the regional climate by analyzing spatiotemporal changes in MODIS Terra/Aqua geospatial and
in-situ time series of land surface albedo and climate parameters during the 2002- 2022 period. Additionally,
this paper quantifies the eect of urban spatiotemporal land surface albedo changes in urban thermal
environment. Our analysis combined multiple long-term satellite products (e.g., land surface temperature-LST,
normalized vegetation index/Enhanced Vegetation Index NDVI/EVI, land surface albedo -LSA, leaf area
index-LAI, evapotranspiration-ET) with high-resolution land cover datasets in a complex statistical and spatial
regression analysis. During summer hot periods, the findings of this study reveal a strong inverse correlation
between LSA and LST (r= -0.80; p<0.01) in all city sectors associated with a high negative impact on the urban
thermal environment. As a measure of urban surface thermal properties, broadband albedo depends also on the
atmospheric conditions. As a key parameter in urban climate research, LST interannual variations in
relationship with air temperature AT is very important in urban climate studies. The rank correlation analyses
revealed that, at the pixel-scale, during the summer season (June-August) air temperature at 2m height AT and
LST presents a strong positive correlation (r= 0.87%, p<0.01). During summer periods (June August), LST-
NDVI shows an inverse correlation (for central city areal r= -0.24, p< 0.05; and for metropolis areal r= -0.69,
p<0.01). However, urban/periurban vegetation land covers may have major feedback to the anticipated urban
climate change modeling scenarios through albedo changes due to the fact that the urban physical climate
system is extremely sensitive to land surface albedo.
Key-Words: - urban thermal environment, land surface albedo, biogeophysical parameters, time series MODIS
Terra/Aqua satellite data, Bucharest city, Romania.
Received: May 19, 2023. Revised: August 2, 2023. Accepted: September 27, 2023. Published: October 12, 2023.
1 Introduction
The increased and rapid urbanization contributes to
global climate change through increasing carbon
emissions due to enhanced population,
consumption, and activation, and also through
affecting radiative forcing due to the changes of the
geometry and the composition of surface elements,
and induced changes of Earth’s radiative variables.
Land surface albedo (LSA) defined as the fraction
of radiative flux reflected by a surface to the
atmosphere, is one of the key geophysical variables
controlling the land surface radiation budget, that
plays a crucial role in climate changes. Its
spatiotemporal variability is due to solar
illumination changes, rapid changes in atmospheric
conditions, vegetation land cover and growth, soil
moisture, and different human activities like as
agricultural practices. Anthropogenic and natural
activities will have a serious impact on local and
regional climate due to alteration of the effective
surface albedo, which leads to local phenomena
such as urban heat islands (UHIs) and the increased
effects of summer heat waves (HWs), [1], [2]. For
this reason, urban LSA is regarded as an important
WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT
DOI: 10.37394/232015.2023.19.98
Maria A. Zoran, Roxana Savastru,
Dan Savastru, Marina N. Tautan,
Adrian C. Penache
E-ISSN: 2224-3496
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Volume 19, 2023
indicator for mitigating the UHI phenomenon.
However, in the physical climate system, land
surface cover determines the radiation balance of
the surface and also, affects the land and air surface
temperature and boundary-layer structure of the
atmosphere, [3], [4]. Also, the urban overheating
during summer heat waves needs the
implementation of mitigation actions. For reliable
forecasts of future climate change across large
metropolitan areas, an understanding of fluctuations
in urban land surface albedo is required. Higher
ambient temperatures are evidence of the urban heat
island phenomenon, which has an adverse impact on
human health and occurs in highly populated
regions of cities. The urban heat island
phenomenon, which has a serious impact on human
health, is characterized by higher ambient
temperatures in the dense parts of the cities
compared to their surrounding environment. It is
generated by the positive thermal balance in the
urban built environment attributed to the excessive
absorption of solar radiation by the impervious
surfaces, the release of anthropogenic heat, the
reduced evapotranspiration and surface
permeability, and the lack of urban ventilation.
Previous studies have reported the important role of
high albedo materials and vegetation land cover in
mitigating urban thermal stress, but local and
regional atmospheric circulation and air quality are
essential parameters in the surface energy balance,
land surface albedo is identified as a primary
essential climate variable (ECV) is an essential tool
of climate change at local urban scale. The albedo
quantity, most relevant to the energy budget
comprises the shortwave domain (0.4 μm- 4 μm),
which includes the visible (0.4μm- 0.7μm) and near-
infrared (0.7 μm- 4 μm) spectral wavelengths, where
the solar downwelling radiation is more relevant.
Land surface albedo is related to several
biogeophysical, biogeochemical, and hydrological
cycles as the absorbed radiant flux (e.g. absorbed
photosynthetically active radiation), which drives
the processes of plant photosynthesis,
evapotranspiration, and vegetation growth, [5], [6].
Urban land cover spatiotemporal changes attributed
to natural and anthropogenic factors have a direct
impact on land surface albedo variability, [7], [8].
Both urban microclimates and outdoor thermal
environments depend not only on the regional
climate at a large scale but at a local scale and are
also linked to the features of the urban built
environment (its form and fabrics). The urban
thermal environment is under the influence of city
spatial structure characteristics, land use/land cover,
and landscape patterns. Due to the increased urban
heat island phenomenon, the urban thermal
environment will gradually deteriorate, which
affects the quality of urban human health, being
related to urban energy consumption, ecosystem
operation, vegetation phenology, and sustainable
city economy. For urban thermal environment
characterization, this study uses land surface
temperature (LST), which is an important parameter
used to characterize the land surface changes and
the spatiotemporal pattern and influencing factors of
the urban thermal environment. Green space was
measured with a satellite-derived vegetation index
normalized vegetation index (NDVI), which
captures the combined availability of gardens, street
trees, parks, and forests. The variability in urban
vegetation land cover cooling impacts on city
thermal environment as a function of sunlight and
vegetation moisture content, with surface solar
irradiance and the cooling variability of vegetation
characteristics described by Leaf Area Index (LAI)
and Fraction of Absorbed Photosynthetically Active
Radiation (FAPAR across the metropolis’ selected
sectors. In urban thermal environment studies, the
short-wave broadband albedo is considered to be
one of the most important physical parameters for
climate models, because it provides crucial
information on the exchange of solar radiation
between the land surface and the atmosphere. The
MODIS broadband albedo product used in this
study has both high spatial and high temporal
resolutions. However, using satellite remote sensing
data of various spatial, spectral, angular, and
temporal resolutions, albedo can be derived at the
pixel scale over an entire analyzed urban area. In-
situ observational monitoring data can be used for
the validation of satellite data. This brings a more
accurate estimation of climate models. Time series
satellite data provide information on the urban
growth associated with derived biogeophysical land
surface parameters, (vegetation fraction cover, built-
up indices, land surface temperatures, land surface
albedo), which are good indicators of urban thermal
environment changes, [9], [10], [11]. Synergy's use
of time series-derived satellite biophysical
parameters and in-situ monitoring data can provide
useful information for urban land cover
spatiotemporal dynamics. Extreme summer
heatwave events driven by a persistent high-pressure
system coupled with low soil moisture on the land
surface can exacerbate people’s vulnerability to
increased air temperature (AT) and land surface
temperature (LST) in the Bucharest metropolitan
area. Urban green and reflective urban surfaces can
improve the urban thermal environment by reducing
urban heat. Although several studies have described
WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT
DOI: 10.37394/232015.2023.19.98
Maria A. Zoran, Roxana Savastru,
Dan Savastru, Marina N. Tautan,
Adrian C. Penache
E-ISSN: 2224-3496
1038
Volume 19, 2023
the spatial pattern and influencing factors of the
urban thermal environment, the relationship
between the land surface albedo and the urban
thermal environment in Bucharest has not yet been
established. Based on a time series of MODIS
Terra/Aqua data during the 2000-2022 period, this
study conducted a spatiotemporal analysis of urban
biogeophysical parameters spatiotemporal changes
in their interaction with climate variability and
extreme events to detect urban footprints on Land
Surface Albedo, and Land Surface Temperature in
the Bucharest metropolis, in Romania. Also, urban
growth and climate change impact the thermal
environment in relationship with several
biogeophysical variables. The information provided
by this study may be useful for urban planning,
building design, and energy efficiency initiatives in
large metropolitan areas of Bucharest aimed at
mitigating the summer UHI phenomenon, especially
associated with HWs. By better knowledge and
predicting urban albedo, decision-makers can
implement targeted interventions and adopt
strategies to reduce UHI effects, enhance urban
thermal comfort, and optimize energy consumption
in the city.
2 Study Test Area and Data used
2.1 Bucharest Test Area
The capital of Romania, Bucharest, is located in
both the South-East of Romania and the South-East
of Europe. Is described by a star-shaped pattern
(Fig.1), being bounded by latitudes 44.33 N and
44.66 N and longitudes 25.90 E and 26.20 E.
Fig. 1: Bucharest test site
The main central coordinates are latitude
44°25′N, longitude 26°06′E. The urban metropolitan
area of Bucharest includes the city of Bucharest
(228 km2) and the surrounding areas belonging to
Ilfov County (329 km2), covering a total surface of
557 km2. The city is crossed by the Dambovița and
Colentina rivers. While the Dambovița River
crosses Bucharest from northeast to southwest
through its center, the Colentina River has meanders
and marsh areas. It forms a succession of lakes in
the Northern part of Bucharest. At the local scale, its
climate is continental, with four seasons (spring
March, April, May, summer June, July, August,
autumn September, October, November, winter
December, January, February). During last year July
and August months have been the warmest months
of the year, with average maximum air temperatures
higher than 30°C. August month recorded the lowest
number of rainy days in the year and the smallest
amount of rainfall in the summer.
2.2 Data Used
The time series analysis of derived biogeophysical
parameters for the Bucharest metropolitan area is
based on satellite remote sensing MODIS
Terra/Aqua, Landsat TM/ETM+, and Sentinel 2 data
acquired during the 2000-2022 period. Land cover
dynamics were assessed using time series
Landsat TM/ETM+ (Landsat TM: 23/07/2002,
12/06/2007, 16/07/2012, 06/07/2016, and Landsat
ETM+ 17/07/2022) and time-series MODIS Terra
data for 2002-2022 period. The analyzed period
registered several heat wave periods, of which
summers 2003, 2007 2010, 2012, 2017, and 2022
have been the highest. We used time series MODIS
Terra products: 8-Day L3 Global 1km SIN Grid
land surface temperature (LST)/emissivity
MOD11A2/LST_Day_1km, 16-day MODIS
13Q1/250m_16_days_NDVI/EVI composites with a
250 m spatial resolution, MCD43A/VIS and NIR
surface albedo, mainly for their capacity to detect
anthropogenic and climate impacts on urban thermal
environment and land cover changes, [12], [13],
[14], [15]. Missing values were replaced by linear
interpolation considering neighboring values within
the LST, NDVI/EVI, LAI, and FPAR time series.
Landsat ETM+ 17/07/2022 image was used for
validation and training. Have been selected 5
periurban and 5 urban test areas as well as a central
Bucharest test area and an entire metropolis test
area. Additional in situ monitoring
spectroradiometrical data, and meteorological
monitoring data at air quality and meteorological
networks have been used.
2.3 Statistical Analysis
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Maria A. Zoran, Roxana Savastru,
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In this study air (AT), and land surface temperature
(LST), as well as vegetation-indicating parameters
(NDVI, LAI, vegetation land cover, etc.) and land
surface albedo (LSA) were clustered according to
the methods, scope, and thermal environment. The
findings were expressed by the statistical correlation
between vegetation parameters and thermal
parameters like AT, LST, and LSA. For similarity
between two-time series data of the averaged daily
air temperature (TA), and derived satellite
biogeophysical parameters (LST, VIS, and NIR
surface albedo, NDVI) in Bucharest this study used
Spearman cross-correlation analysis and non-
parametric test coefficients as well as linear
regression analysis. For assessment of the normality
of the averaged daily time-series data sets,
Kolmogorov-Smirnov Tests of Normality. ORIGIN
10.0 software version 2021 for Microsoft Windows
was used for data processing. For satellite data,
ENVI 5.7 version, and IDL 7.0 software have been
used.
3 Results and Discussion
To identify the urban footprints on land surface
temperature and land surface albedo and their
changes during the 2000-2022 period in the
Bucharest metropolitan area, we used a long time
series of MODIS Terra/Aqua land-surface satellite
products and reanalysis data to investigate the urban
land cover air and land surface temperature
interactions.
3.1 Land Use/ Land Cover, and Changes
In 2018, according to Copernicus Urban Atlas land
use land cover (LULC) distribution (km2) in
Bucharest metropolitan region was following:
artificial area 33.6%, agricultural area 53%, natural
areas 10.7%, wetland 0.2% and water 2.4%, [16].
The registered changes of LULC during the 2012-
2018 period for the Bucharest metropolitan area
were defined as urban expansion through uptake of
agricultural areas (71.9%), uptake of natural areas
(1.3%), uptake of wetlands/water (1.3%), loss of
artificial area (12.3%) and other changes (13.5%). Is
well recognized that urban land cover artificial
properties will change the urban surface energy and
water balance different from the natural surfaces.
Also, the city morphology and urban forms and
topography of Bucharest can impact climate at the
microscale by creating urban canyons due to
changes in wind speed and direction, building walls
creating warmer spots, which results in urban
thermal discomfort, [17], [18], [19]. Change
detection analysis provided by this study for the
2000 -2022 period shows that Bucharest city
expanded in all directions inside the 6 sectors, the
highest rate of city growth was inside the Northern
sectors but also in the periurban areas. The results of
this study highlighted a characteristic spatial pattern,
gradients, and landscape metrics, which support an
understanding of Bucharest's spatial growth and the
future modeling of urban development in Romania.
3.2 Land Surface Albedo (LSA)
Fig. 2 presents temporal variations of daily average
MODIS/Terra Broadband BRDF albedo MCD43A
in band-1 during 2002-2022 for the Bucharest
metropolitan area. This study found a strong inverse
relationship between LSA and LST (r= -0.80;
p<0.01) during summertime in the city areas with a
negative impact on the urban thermal environment.
Broadband albedo, which measures urban surface
properties depends also on the atmospheric
conditions, [20], [21], [22], [23], [24], [25], [26].
Assigning albedo values to different
urban/periurban land cover types is useful for
adapting the level of interventions and their impacts
on the urban form that underwent specific
evolutions between the 2000 and 2022 time
window.
1/1/2002 1/1/2006 1/1/2010 1/1/2014 1/1/2018 1/1/2022
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
BRDF (MODIS) Nadir_Reflectance _Band 1
Data
BUCHAREST metropolis
Fig. 2: Temporal variations of daily average
MODIS/Terra Broadband BRDF albedo MCD43A
in band-1 during 2002-2022.
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Based on 23 years of time-series analysis of
MODIS Terra/Aqua data this study found the
following results: (1) TA plays an important role in
determining the LSA by controlling snow absence
and presence during the winter-to-summer and
summer-to-winter transitional periods,; (2) during
the winter season urban LSA is greatly influenced
by the amount of precipitation or snow; (3) the
water and soil moisture conditions during the
spring-summer-autumn seasons, can significantly
alter the LSA of the urban/periurban vegetation land
cover growth; (4) shifts in urban land cover tend to
cause persistent changes in LSA. Also, urban
surface albedo changes in the Bucharest
metropolitan area are highly dependent on local and
regional climate variations. However, similar
variations of LST can be attributed to factors that
are more temporally dynamic like temporal shifts in
vegetation phenology (that represents the annual
cycles and temporal patterns of plant growth and
development), and can significantly alter the
seasonal distribution of surface albedo.
3.3 Land Surface Temperature (LST)
Fig. 2 presents a temporal pattern of Land Surface
Temperature MOD11A2/LST_Day_1km, for a city
central area of 6.5 km x 6.5 km, and a metropolitan
area of 40.5km x 40.5 km centred at latitude
44.4355381 oN and longitude 26.100049 oE. As was
expected, in the central built area of Bucharest with
high impervious surfaces LST presents greater
temperatures and reflects more heat, while the
extended metropolitan area exhibits lower
temperatures due to much more vegetated spaces.
The significant differences in LST_Day between
city central, median, and peripheral zones of the
Bucharest metropolitan area have been recorded
especially during years with intense heat waves
(2003, 2007 and 2010, 2012, 2016, and 2022).
Monthly average values of the temperature
differences between urban and rural areas range
between 1oC and 8oC.
Like other studies, [27], [28], [29], [30], this
paper reveals a strong positive correlation at the
pixel scale, during the summer season (June-
August) air temperature at 2m height TA and LST
presents (r= 0.87%, p<0.01).
3.4 NDVI/EVI
The results of this study show that the disturbances
of urban forests and urban green alter land cover
biophysical properties, directly impacting local
climate and land surface temperature. At the
metropolitan scale, urban vegetation loss has high
impacts on land surface albedo increase,
evapotranspiration (ET) decrease, and reduced
values of LAI. In good accordance with previous
papers for worldwide cities, the relationships
between LST and NDVI/EVI were highly diverse
among the various urban/periurban biomes and
seasons throughout the entire study period, [31],
[32].
Therefore, during the spring season March
May), LST-NDVI shows the dominance of
significant positive correlation (Spearman rank
correlation coefficient r=0.90, p<0.01 for city
central area; and r=0.71; p<0.01 for metropolis
areal), while during the summer season (June
August), most of the vegetation test areas turned to
negative correlation as follow (for central city areal
r= -0.25, p< 0.05; and for metropolis areal r= -0.69,
p<0.01). For autumn and winter seasons, LST
correlations with NDVI/EVI were positive in the
range of r= 0.43 to r= 0.65 and p<0.01 for central
city and metropolis areas. Fig.3 shows the temporal
variations of daily average MODIS NDVI and
LST_Day during 2002-2022. The contributions of
periurban cropland and forest varied distinctly
between daytime and nighttime owing to differences
in their thermal inertias, [33], [34], [35].
4/7/2002 4/7/2006 4/7/2010 4/7/2014 4/7/2018 4/7/2022
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
NDVI
LST_Day
Day
NDVI
BUCHAREST
250
260
270
280
290
300
310
320
LST_Day (oK)
Fig. 3: Temporal variations of daily average MODIS
NDVI and LST_Day during 2002-2022
Vegetation had a clear cooling effect as the
normalized vegetation difference index (NDVI)
increased during summer periods. The results of this
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Maria A. Zoran, Roxana Savastru,
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E-ISSN: 2224-3496
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study are in good accordance with previous studies,
[36], [37], [38], [39], which demonstrated the
significant cooling impact of urban green (trees,
grass) albedo on cities' thermal environment
during hot summers under different climate
conditions. Cooling efficiency of vegetation is a
function of solar surface irradiance and urban
vegetation moisture content, [40]. Urban footprint
analysis further revealed changes in green land
cover that are highly dependent on land
management scenarios. Urban green infrastructure
must be an important tool to achieve sustainability
and resilience in cities exposed to global warming
because of its several benefits, including carbon
storage, urban heat islands and summer heat waves
mitigation, flooding events, and air quality
improvement.
4 Conclusion
During the summer months (June-August) periods,
the function of atmospheric conditions, this study
reports a strong inversely correlation between LSA
and LST in all city sectors of Bucharest associated
with a strong negative impact on the urban thermal
environment. As a key parameter in urban climate
research, LST long-time variations in relationship
with air temperature AT is very important in urban
climate studies. The rank correlation analyses
revealed that at the pixel scale, during the summer
season air temperature at 2m height TA and LST are
positively correlated, while LST and NDVI show
an inverse correlation, higher for metropolitan areas
than for the city center. The quantification of the
urban thermal environment and associated heat
stress in the context of the urban heat island
phenomenon, which has detrimental effects on air
quality and human health, is a crucial research need
as heat waves are predicted to become more
frequent and severe in Romanian urban areas and
the South-East of Europe in the coming years due to
global climate warming. The findings of this study
may offer insights to urban managers and important
decision makers for urban planning and
management to improve the urban thermal
environment and optimize the urban functional
structure in the Bucharest metropolitan area.
Additionally, the necessity to implement urban heat
mitigation technology will take into account the
following issues: reducing heat gains; enhancing
urban greenery and blue infrastructure; reducing
heat losses in the city; involving the use of advanced
materials for building the urban surfaces; the urban
heat cooling during hot summers through modified
urban surface albedo.
Acknowledgments:
This work was supported by the Romanian Ministry
of Research, Innovation and Digitalization: through
Program 1- Contract no. 18PFE/30.12.2021;
National Research Development and Innovation
Plan 2022-2027, project no. PN 23 05; Grant
CNCS-UEFISCDI, project number PN-III-P4-PCE-
2021-0585; Romanian Ministry of European
Investment and Projects & Romanian Ministry of
Research, Innovation and Digitalization, Contract
no.8/1.2.1 PTI ap.2/17.02.2023.
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Adrian C. Penache
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
- Maria Zoran: Conceptualization; Methodology,
Supervision, Writing - review & editing.
- Roxana Savastru: Methodology, Validation.
- Dan Savastru: Methodology, Review.
- Marina Tautan: Methodology, Validation.
- Adrian Penache: Data acquisition, Validation.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
This work was supported by the Romanian Ministry
of Research, Innovation and Digitalization: through
Program 1- Contract no. 18PFE/30.12.2021;
National Research Development and Innovation
Plan 2022-2027, project no. PN 23 05; Grant
CNCS-UEFISCDI, project number PN-III-P4-PCE-
2021-0585; Romanian Ministry of European
Investment and Projects & Romanian Ministry of
Research, Innovation and Digitalization, Contract
no.8/1.2.1 PTI ap.2/17.02.2023.
Conflict of Interest
The authors have no conflict of interest to declare.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
_US
WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT
DOI: 10.37394/232015.2023.19.98
Maria A. Zoran, Roxana Savastru,
Dan Savastru, Marina N. Tautan,
Adrian C. Penache
E-ISSN: 2224-3496
1044
Volume 19, 2023