Remote Sensing-Based Spatiotemporal Analysis of Land Use Changes
in Shanghai
Zuteng Fang
a
College of Marine Science and Technology, Zhejiang Ocean University, Haida South Road, Zhoushan, China
Keywords: Shanghai, Remote Sensing, Land Use Type, Urban Expansion.
Abstract: It is very important for urban planning and construction to monitor the change of urban land area in real time
and investigate and analyze it. As the largest city in China and one of the major financial centers, Shanghai's
land area changes are extremely obvious, especially located in a special position at the mouth of the Yangtze
River, at the end of the plain of the middle and lower reaches of the Yangtze River. 3,000 years ago, a large
amount of sediment brought by the upper reaches formed a broad coastal plain here. This phenomenon is still
continuing now. The land area of Shanghai is about 5,800 square kilometers, while the current area of
Shanghai is nearly 7,000 square kilometers, and the area has changed greatly, which has a great impact on the
administration and urban planning of Shanghai. This paper will use arcgis to make maps of Shanghai from
1980 to 2010 and draw corresponding coastlines to analyze the change of Shanghai's land area. The
comprehensive influence of land reclamation and sediment deposition on Shanghai in recent years is reflected
by exploring the change of its land structure.
1 INTRODUCTION
In recent years, with the continuous development of
remote sensing technology, we have learned a lot of
information through satellite data, which is of great
help for us to analyze the change of urban land area
in time and space (Du Peijun, Liu Sicong, & Tan Kun,
2012). Remote sensing monitoring of urban land use
change is of great significance for accurately grasping
the characteristics of urban expansion, optimizing the
pattern of urban land use, and promoting coordinated
regional development (Li Xiaoyong & Kuang
Wenhui, 2019). On the whole, the land use in Chinese
cities is changing from low to high level (Liu Jiyuan
Buheaosier,2000). Through satellite data from
different regions and time, we will focus on the
economic center of Shanghai to explore the reasons
and impacts of such a huge change in land area since
the 1990s. Rational urban expansion and land use are
of great significance(Wu Dewen, Mao Hanying,
Zhang Xiaolei, & Huang Jinchuan, 2011).Although
with the development of human society, urban
construction and land use are constantly promoted,
we still encounter problems of one kind or another in
a
https://orcid.org/0009-0003-1427-6251
the face of natural factors (Xiang Chunling, 2014).
Shanghai is located in the alluvial plain of the middle
and lower reaches of the Yangtze River. The terrain
of the middle and lower reaches of the Yangtze River
is flat, and the sediment is mainly sedimentation
(Zhao Qingying, Yang Shilun Liu Shouqi,2002).
Every year, the huge amount of sediment carried by
the rolling water of the upper reaches of the Yangtze
River is deposited in the lower reaches. As a result,
the land area of Shanghai along the river and along
the coast is increasing day by day (Xiaodong Zhang,
Rui Xie, Daiyu Fan, Zuosheng Yang, Hongmin
Wang, Chuang Wu, & Yuhan Yao, 2004). At the
same time, due to the continuous development of the
city and the continuous increase of land use,
Shanghai's land reclamation is also the reason for the
change of its land area and the constant change of land
feature structure. The harmonious coexistence
between man and nature has always been a key issue
discussed by the times (Zhou Hongchun & Dai
Tiejun, 2023). As a space for human survival, it is
very important for cities to rationally plan and
coordinate the surrounding environment, especially
for cities like Shanghai, which are deeply influenced
by both the natural environment and human society.
Fang, Z.
Remote Sensing-Based Spatiotemporal Analysis of Land Use Changes in Shanghai.
DOI: 10.5220/0013043000004601
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 1st International Conference on Innovations in Applied Mathematics, Physics and Astronomy (IAMPA 2024), pages 241-246
ISBN: 978-989-758-722-1
Proceedings Copyright © 2024 by SCITEPRESS Science and Technology Publications, Lda.
241
It is very important for eco-city construction to
reasonably balance the relationship between the ever-
increasing land area and urban construction (Huang
Guangyu & Chen Yong, 1997). At the same time,
while natural sediment deposition, Shanghai's
reclamation has a great impact on its land area
change. The area of its own wetland is also being
encroached upon (Yi A L & Wang J, 2021).
Nevertheless, the practice of Shanghai itself is of
great value for discussion and worth learning from,
especially under the complex urban conditions of
multiple nature reserves in Shanghai at the same time.
The complex reasons behind it and the real land area
changes are of great interest to us.
2 MATERIALS AND METHODS
2.1 Study Area
Shanghai is located in the east of China, on the west
coast of the Pacific Ocean, where the Yangtze River
and Qiantang River flow into the sea. It is part of the
alluvial plain of the Yangtze River Delta. It lies
between 120°52 '-122 °12' east longitude and 30°
40 '-31 °53' north latitude. The land area is 6,340.5
square kilometers. On average, the land area along the
river and coastal areas will increase by nearly 10
square kilometers every year. As of December 31,
2009, the city's cultivated land 1897.59 square
kilometers; 179.89 square kilometers; 506.05 square
kilometers of forest land; 16.41 square kilometers of
grassland; 2557.94 square kilometers of land for
towns, villages and industrial and mining areas;
402.17 square kilometers of transportation land;
2,749.17 square kilometers of water area and water
conservancy facilities; Other land 49.90 square
kilometers.
2.2 Data Acquisition and Methodology
Data source is mainly from the United States
Geological Survey (usgs) landset5 remote sensing
digital image, resolution of 30 × 30 meters.
Moreover, through screening, our research period
was from 1984 to 2010. Since the research area was
in the south, the cloud cover of these remote sensing
satellite data was selected as small as possible, and
the images with little noise interference were selected
as far as possible. Meanwhile, the ground control
point (GCP) and digital elevation model (DEM) were
corrected and processed on landset satellite data. Data
preprocessing and radiation calibration, atmospheric
correction and splicing cropping of the original
satellite data to obtain the initial image, these steps
not only help to eliminate the noise and bias in the
image, but also improve the reliability of subsequent
analysis. In addition, EDRAS IMAGINE version 9.2
is used to classify the land into urban land, rural
construction land, agricultural land, sediment
deposition, industrial land, industrial land, and water
body. The planning is classified one by one, and
different land elements are accurately extracted.
Then, the classified images are used to set the legend
scale and warp and latitude network through Arcmap,
and different land use types are marked with different
colors on the legend to make different land use more
clearly displayed in the image. In this way, the land
classification map of Shanghai in different years is
formed. These processes and methods enable us to
have a clear and obvious understanding and feeling of
the urban change and development and land planning
of Shanghai in different years, as well as the influence
of natural sediment deposition on Shanghai.
2.3 Urban Expansion Change
Detection
Due to a large amount of land reclamation and a large
amount of sediment deposition in the upper reaches
of the Yangtze River, the land area along the coastal
areas of Shanghai is increasing day by day, which
also has an impact on the original land structure of
Shanghai. Therefore, we need to intuitively feel the
changes of the land area of Shanghai by comparing
the land structure of Shanghai in different years with
the changes of the coastline of Shanghai in the past
20 years. Firstly, the data of Shanghai satellite in
recent 20 years are extracted, and the remote sensing
images are binarized by edras, and the sea water and
land are separated and classified. The binary image is
used to enhance the edge of the classified image. The
edge enhancement function in ERDAS IMAGINE is
adopted and 3×3 transformation kernel is selected to
complete the process. Thus complete the coastline
extraction. In addition, using the classification
method again, the land structure of Shanghai is
divided into vegetation, nature reserves, buildings,
wastelands, and coastal shoals. Each element is
accurately extracted, classified and mapped. Then,
the classified land image of Shanghai is extracted into
arcmap. By adding legend and scale and adjusting the
image size, the land cover structure map of Shanghai
in a certain year in the past 20 years is drawn, and the
land classification map is made year by year, and
finally compared.
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3 RESULTS
Shanghai's urban expansion and full development of
land resources from 1984 to 2010 is a typical example
of today's mega-economic cities.
(1) The expansion mode and rapid development
performance of Shanghai. For Shanghai, which has
been one of the economic centers in the 20th century,
the main reasons for its urban expansion are the
development through reform and opening up, the
advantages of geographical location for
transportation, and the suitable climate located in the
subtropical zone. After research, its development
mode is reflected in the late 1980s with the People's
Square as the center, radiating the surrounding area,
to the geographical location, using its gentle terrain to
vigorously develop industry, but also using its
advantage of the sea to carry out industrial
construction. More and more agricultural
construction areas become cities, and the proportion
of urban land is increasing.
(2) The adjustment and change of the proportion
of land use types in Shanghai. In the early 1980s, the
land use of Shanghai was less than that of today.
Urban land was concentrated but accounted for a
small proportion, rural construction land was large
and extensive, industrial areas were not concentrated
enough, and undeveloped land area was large. By
2010, the gap between the proportion of agricultural
land and urban land in Shanghai has been decreasing,
and the high-density urban area of Shanghai has
increased to 2,117.51 square kilometers in 2010. At
the same time, urban land increased, industrial land
began to concentrate on a large scale, there were
industrial land and dredged fisheries resources area,
land types were rich, and urban expansion land
resources development increased.
In the process of 1984-2010, the urban expansion
of Shanghai was remarkable. In the 2010 urban
classification map, it can be clearly seen that the
urban land of Shanghai was transformed from the
original People's Square as the center to the
construction area of near and far suburbs into
industrial land and urban land. The original sediment
deposit area of Jiangxin Island was hollowed out and
turned into a fishery resource area. As can be seen
from the figure, in fact, the gap between the
proportion of agricultural construction land and the
Figure 1: Shanghai 1984 land classification map (Picture credit: Original).
Remote Sensing-Based Spatiotemporal Analysis of Land Use Changes in Shanghai
243
Figure 2: Shanghai 2010 land classification map (Picture credit: Original).
total land area of Shanghai and the proportion of
urban construction land in 2010 is getting smaller,
and the industrial zone is getting larger. Meanwhile,
due to the development of transportation and
economy, the industrial and transportation land in
Shanghai is developing rapidly. The high-density
urban area of Shanghai has increased to 2,117.51
square kilometers, which is several times that of the
same kind of land in Shanghai in 1984. Meanwhile,
due to population expansion and population inflow,
Shanghai began to develop cities in the outer suburbs
in order to alleviate the population pressure in the
central urban area, and implemented the policy of
"one city, nine towns". This has also promoted
Shanghai's urban expansion and the development and
utilization of suburbs in another dimension. It can be
inferred that in 2010, Shanghai's outer suburbs will be
the main industrial land growth, increasing to 471.30
square kilometers. The development of the central
city is saturated, and the construction of the outer
suburbs is growing, and the industrial land is more
regionally concentrated.
4 CONCLUSION
Land use change is an important manifestation of the
coordination between human activities and natural
environment, and the study of satellite remote sensing
data in its spatio-temporal dimension can better
demonstrate the process of urban spatio-temporal
expansion.
Under the influence of reform and opening up,
and driven by the market economy, Shanghai's land
development and utilization has changed by a big ten,
from the central group of People's Square to the
radiation development centered on the central city.
This is also closely related to the geographical
location and policies of Shanghai. Due to its
proximity to the sea, the continuous growth of
industrial land in Shanghai during this period directly
promoted the increase in the area of industrial land in
Shanghai and drove the surrounding economy.
Moreover, fishing and agriculture in Jiangxin Island
and other places also developed, and fishing areas
were built by dredging. In 2001, with the
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implementation of the strategy of "One city and nine
towns" in Shanghai, the urbanization area of
Shanghai has expanded by leaps and bounds to the
outer suburbs. The development of the whole city has
also changed from the original single-center structure
centered on the People's Square to the open multi-
center group structure, and Xujiahui is becoming the
new center of their respective regions.
In terms of time and space, it can be seen from
the classification map that the spatial change of land
development and utilization in Shanghai in different
periods is uneven, and the pattern is generally more
in the east and less in the west. With the passage of
time, the trend of suburbanization of land
development and utilization is obvious. In the early
1980s, the land development and utilization change in
Shanghai was mainly concentrated in the central city,
and by 2010, the land development and utilization
change had shifted to the outer suburbs, and even
crossed the near suburbs rapidly in the middle period.
In terms of land development and utilization
types, the overall trend of land development and
utilization change in Shanghai is that high-density
urban areas increase the most area, and transportation
develops significantly during this period. The
emergence and concentration of industrial and
transportation areas reflect the huge growth of
industrial land in Shanghai and the great role of
transportation in the development of Shanghai.
The change of rural construction land is to
continue to expand outward, but with the
development of central cities, the growth rate of rural
construction will slow down to a certain extent, and
rural land may be replaced by high-density buildings
in the future.
REFERENCES
Air Quality and Climate Change Research. (2019, Jun 18).
Retrieved from https://papersowl.com/examples/air-
quality-and-climate-change-research/
Akimoto, H. (2003). Global air quality and pollution.
Science, 302(5651), 1716 1719.
https://doi.org/10.1126/science.1092666
Bao, X., Zhou, W., Zheng, Z., Xu, L. (2023). The
interactions and mechanisms between biogenic volatile
organic compounds emissions and ozone
concentrations in urban areas: A review. Acta
Ecologica Sinica, 43(5). https://doi.org/10.5846/
stxb202202240431
Bergmann, S., Li, B., Pilot, E., Chen, R., Wang, B., & Yang,
J. (2020). Effect modification of the short-term effects
of air pollution on morbidity by season: A systematic
review and meta-analysis. Science of the Total
Environment, 716, 136985. https://doi.org/10.1016/
j.scitotenv.2020.136985
Chen, Yaping., Deng, Akot. (2023). Evolution and
Influencing Factors of Urban Built-Up Areas in the
Yangtze River Delta Urban Agglomeration. IEEE
Access. PP. 1-1. 10.1109/ACCESS.2023.3336735.
China Mobile Source Environmental Management Annual
Report (2023)
Fu, M., Zheng, Y., Xu, X., NIU, L. (2011). Advances of
study on monitoring and evaluation of PM2.5.
Meteorology and Disaster Reduction Research,
34(4):1-6. https://cstj.cqvip.com/Qikan/Article/
Detail?id=40851670
Hu, H. (2012). Real-time monitoring of the environment
and gas sampling methods (CHN. Patent No.
CN201110050054.5). China National Intellectual
Property Administration.
Managing Air Quality and Pollution Environmental
Sciences Essay. (2018, Jul 23). Retrieved from
https://phdessay.com/managing-air-quality-and-
pollution-Environmental-sciences-essay/
Wang, X., Chen, R., Kan, H. (2011). Application of Remote
Sensing Technology in Atmospheric Pollutant
Monitoring: a Review of Recent Studies. Journal of
Environment and Health, 28(10),
4.https://www.cnki.com.cn/Article/CJFDTotal-
HJYJ201110028.htm
Wei, J., Li, Z. (2023). ChinaHighO3: High-resolution and
High-quality Ground-level MDA8 O3 Dataset for
China (2000-2022). National Tibetan Plateau / Third
Pole Environment Data Centre.
https://doi.org/10.5281/zenodo.10477125.
Wei, J., Li, Z. (2023). ChinaHighPM10: High-resolution
and High-quality Ground-level PM10 Dataset for China
(2000-2022). National Tibetan Plateau / Third Pole
Environment Data Centre.
https://doi.org/10.5281/zenodo.3752465.
Wei, J., Li, Z. (2023). ChinaHighPM2.5: High-resolution
and High-quality Ground-level PM2.5 Dataset for
China (2000-2022). National Tibetan Plateau / Third
Pole Environment Data Centre.
https://doi.org/10.5281/zenodo.3539349.
Wei, J., Li, Z. (2023). ChinaHighSO2: High-resolution and
High-quality Ground-level SO2 Dataset for China
(2013-2022). National Tibetan Plateau / Third Pole
Environment Data Centre.
https://doi.org/10.5281/zenodo.4641538.
Wei, J., Li, Z., Cribb, M., Huang, W., Xue, W., Sun, L.,
Guo, J., Peng, Y., Li, J., Lyapustin, A., Liu, L., Wu, H.,
& Song, Y. (2020). Improved 1 km resolution PM2.5
estimates across China using enhanced space-time
extremely randomized trees. Atmospheric Chemistry
and Physics, 20(6), 3273-3289.
https://doi.org/10.5194/acp-20-3273-2020
Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J.,
Liu, X., Sun, L., Xue, W., & Cribb, M. (2022). Full-
coverage mapping and spatiotemporal variations of
ground-level ozone (O3) pollution from 2013 to 2020
across China. Remote Sensing of Environment, 270,
112775. https://doi.org/10.1016/j.rse.2021.112775
Remote Sensing-Based Spatiotemporal Analysis of Land Use Changes in Shanghai
245
Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W.,
Su, T., & Cribb, M. (2021). Reconstructing 1-km-
resolution high-quality PM2.5 data records from 2000
to 2018 in China: spatiotemporal variations and policy
implications. Remote Sensing of Environment, 252,
112136. https://doi.org/10.1016/j.rse.2020.112136
Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., & Cribb, M.
(2023). Ground-level gaseous pollutants (NO2, SO2,
and CO) in China: daily seamless mapping and
spatiotemporal variations. Atmospheric Chemistry and
Physics, 23, 15111532. https://doi.org/10.5194/acp-
23-1511-2023
Wei, J., Li, Z., Xue, W., Sun, L., Fan, T., Liu, L., Su, T., &
Cribb, M. (2021). The ChinaHighPM10 dataset:
generation, validation, and spatiotemporal variations
from 2015 to 2019 across China. Environment
International, 146, 106290.
https://doi.org/10.1016/j.envint.2020.106290
Zhai, H., Yao, J., Wang, G., & Tang, X. (2022). Study of
the effect of vegetation on reducing atmospheric
pollution particles. Remote Sensing, 14(5), 1255.
https://doi.org/10.3390/rs14051255
IAMPA 2024 - International Conference on Innovations in Applied Mathematics, Physics and Astronomy
246