Understanding spatial-temporal urban expansion pattern (1990–2009) using impervious surface data and landscape indexes: a case study in Guangzhou (China)

The Remote Sensing (R/ S) and Geographical Information System (GIS) play a vital role to evaluate and study the urban expansion pattern. In this study, the Chennai city was selected to perform the urban sprawl study. Five different periods of satellite imageries for the time elapsed between 1994 and 2016 were used. The main aim of this paper was to identify the urban sprawl of Chennai as a patterning process. The extended areas of urban in the period of 1994, 2001, 2006, 2011 and 2016 were extracted by the sub-pixel classification method from the satellite imageries. Furthermore, Shannon’s entropy index was used for assessing urban expansion. The findings of this study proved that Chennai city has sprawled by urban expansion during the period between 1994 and 2016. Likewise, the dispersion rate of urban sprawl for the periods of 1994, 2001, 2006, 2011 and 2016 were 0.671, 0.679, 0.688, 0.693 and 0.695 respectively. Consequently, this uncontrolled dispersed urban development had resulted in the study area losses their green space.

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The Press and Urban Conflict in Mexico City: A Case Study of Newspaper Reporting on Ecology and Urban Expansion in the Ajusco Region, 1982-1990

Mexican Studies/Estudios Mexicanos ◽

10.1525/msem.1996.12.2.03a00050 ◽

1996 ◽

Vol 12 (2) ◽

pp. 273-300 ◽

Cited By ~ 1

Author(s):

Miguel Diaz Barriga ◽

Karen Kleiber

Keyword(s):

Mexico City ◽

Urban Expansion ◽

The Press ◽

Newspaper Reporting ◽

Urban Conflict

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Case Study on Managing Urban Expansion in Tokyo

10.1596/31939 ◽

2019 ◽

Author(s):

Yuko Okazawa ◽

Nozomi Murakami

Keyword(s):

Urban Expansion

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Evaluation of ESV Change under Urban Expansion Based on Ecological Sensitivity: A Case Study of Three Gorges Reservoir Area in China

Sustainability ◽

10.3390/su13158490 ◽

2021 ◽

Vol 13 (15) ◽

pp. 8490

Author(s):

Hongjie Peng ◽

Lei Hua ◽

Xuesong Zhang ◽

Xuying Yuan ◽

Jianhao Li

Keyword(s):

Three Gorges Reservoir ◽

Urban Expansion ◽

Urban Land ◽

Three Gorges Reservoir Area ◽

Three Gorges ◽

Ecological Sensitivity ◽

Reservoir Area ◽

Green Development ◽

Source Data

In recent years, ecosystem service values (ESV) have attracted much attention. However, studies that use ecological sensitivity methods as a basis for predicting future urban expansion and thus analyzing spatial-temporal change of ESV are scarce in the region. In this study, we used the CA-Markov model to predict the 2030 urban expansion under ecological sensitivity in the Three Gorges reservoir area based on multi-source data, estimations of ESV from 2000 to 2018 and predictions of ESV losses from 2018 to 2030. Research results: (i) In the concept of green development, the ecological sensitive zone has been identified in Three Gorges reservoir area; it accounts for about 35.86% of the study area. (ii) It is predicted that the 2030 urban land will reach 211,412.51 ha by overlaying the ecological sensitive zone. (iii) The total ESV of Three Gorges Reservoir area showed an increasing trend from 2000 to 2018 with growth values of about USD 3644.26 million, but the ESVs of 16 districts were decreasing, with Dadukou and Jiangbei having the highest reductions. (iv) New urban land increases by 80,026.02 ha from 2018 to 2030. The overall ESV losses are about USD 268.75 million. Jiulongpo, Banan and Shapingba had the highest ESV losses.

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Mapping Complex Land Use Histories and Urban Renewal Using Ground Penetrating Radar: A Case Study from Fort Stanwix

Remote Sensing ◽

10.3390/rs13132478 ◽

2021 ◽

Vol 13 (13) ◽

pp. 2478

Author(s):

Tyler Stumpf ◽

Daniel P. Bigman ◽

Dominic J. Day

Keyword(s):

Urban Expansion ◽

Educational Programming ◽

Additional Information ◽

National Monument ◽

Early Colonial ◽

Historic Structures ◽

Economic Revitalization ◽

Management Plans ◽

Ground Penetrating

Fort Stanwix National Monument, located in Rome, NY, is a historic park with a complex use history dating back to the early Colonial period and through the urban expansion and recent economic revitalization of the City of Rome. The goal of this study was to conduct a GPR investigation over an area approximately 1 acre in size to identify buried historic features (particularly buildings) so park management can preserve these resources and develop appropriate educational programming and management plans. The GPR recorded reflection events consistent with our expectations of historic structures. Differences in size, shape, orientation, and depth suggest that these responses likely date to different time periods in the site’s history. The GPR recorded other reflection anomalies that are difficult to interpret without any additional information, which suggests that pairing high-density geophysical data with limited excavations is critical to elaborate a complex site’s intricate history.

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Exploring the Variation Trend of Urban Expansion, Land Surface Temperature, and Ecological Quality and Their Interrelationships in Guangzhou, China, from 1987 to 2019

Remote Sensing ◽

10.3390/rs13051019 ◽

2021 ◽

Vol 13 (5) ◽

pp. 1019

Author(s):

Jianhui Xu ◽

Yi Zhao ◽

Caige Sun ◽

Hanbin Liang ◽

Ji Yang ◽

...

Keyword(s):

Time Series ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Urban Expansion ◽

Impervious Surface ◽

Ecological Quality ◽

Urban Center ◽

Urban Centers ◽

Rapid Urbanization

This study explored the model of urban impervious surface (IS) density, land surface temperature (LST), and comprehensive ecological evaluation index (CEEI) from urban centers to suburbs. The interrelationships between these parameters in Guangzhou from 1987 to 2019 were analyzed using time-series Landsat-5 TM (Thematic Mapper), Landsat-8 OLI (Operational Land Imager), and TIRS (Thermal Infrared Sensor) images. The urban IS densities were calculated in concentric rings using time-series IS fractions, which were used to construct an inverse S-shaped urban IS density function to depict changes in urban form and the spatio-temporal dynamics of urban expansion from the urban center to the suburbs. The results indicated that Guangzhou experienced expansive urban growth, with the patterns of urban spatial structure changing from a single-center to a multi-center structure over the past 32 years. Next, the normalized LST and CEEI in each concentric ring were calculated, and their variation trends from the urban center to the suburbs were modeled using linear and nonlinear functions, respectively. The results showed that the normalized LST had a gradual decreasing trend from the urban center to the suburbs, while the CEEI showed a significant increasing trend. During the 32-year rapid urban development, the normalized LST difference between the urban center and suburbs increased gradually with time, and the CEEI significantly decreased. This indicated that rapid urbanization significantly expanded the impervious surface areas in Guangzhou, leading to an increase in the LST difference between urban centers and suburbs and a deterioration in ecological quality. Finally, the potential interrelationships among urban IS density, normalized LST, and CEEI were also explored using different models. This study revealed that rapid urbanization has produced geographical convergence between several ISs, which may increase the risk of the urban heat island effect and degradation of ecological quality.

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Transportation characteristics change under rapid urban expansion: A case study of Shanghai

Chinese Geographical Science ◽

10.1007/s11769-010-0431-3 ◽

2010 ◽

Vol 20 (6) ◽

pp. 554-561 ◽

Cited By ~ 6

Author(s):

Ye Li ◽

Jianhong Ye ◽

Xiaohong Chen ◽

Mohamed A Abdel-Aty P E ◽

Min Cen

Keyword(s):

Urban Expansion ◽

Transportation Characteristics

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From surface data to bulk properties: a case study for antiphase boundaries in GaP on Si(001)

Journal of Physics D Applied Physics ◽

10.1088/1361-6463/abdff1 ◽

2021 ◽

Vol 54 (20) ◽

pp. 205302 ◽

Cited By ~ 1

Author(s):

P Farin ◽

H Eisele ◽

M Dähne ◽

A Lenz

Keyword(s):

Antiphase Boundaries ◽

Bulk Properties ◽

Surface Data

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Spatiotemporal Variance Assessment of Urban Rainstorm Waterlogging Affected by Impervious Surface Expansion: A Case Study of Guangzhou, China

Sustainability ◽

10.3390/su10103761 ◽

2018 ◽

Vol 10 (10) ◽

pp. 3761 ◽

Cited By ~ 13

Author(s):

Huafei Yu ◽

Yaolong Zhao ◽

Yingchun Fu ◽

Le Li

Keyword(s):

Spatial Pattern ◽

Urban Renewal ◽

Impervious Surface ◽

City Centre ◽

Impervious Surfaces ◽

Surface Expansion ◽

The Impact ◽

Gwr Model ◽

Runoff Plots

Urban rainstorm waterlogging has become a typical “city disease” in China. It can result in a huge loss of social economy and personal property, accordingly hindering the sustainable development of a city. Impervious surface expansion, especially the irregular spatial pattern of impervious surfaces, derived from rapid urbanization processes has been proven to be one of the main influential factors behind urban waterlogging. Therefore, optimizing the spatial pattern of impervious surfaces through urban renewal is an effective channel through which to attenuate urban waterlogging risk for developed urban areas. However, the most important step for the optimization of the spatial pattern of impervious surfaces is to understand the mechanism of the impact of urbanization processes, especially the spatiotemporal pattern of impervious surfaces, on urban waterlogging. This research aims to elucidate the mechanism of urbanization’s impact on waterlogging by analysing the spatiotemporal characteristics and variance of urban waterlogging affected by urban impervious surfaces in a case study of Guangzhou in China. First, the study area was divided into runoff plots by means of the hydrologic analysis method, based on which the analysis of spatiotemporal variance was carried out. Then, due to the heterogeneity of urban impervious surface effects on waterlogging, a geographically weighted regression (GWR) model was utilized to assess the spatiotemporal variance of the impact of impervious surface expansion on urban rainstorm waterlogging during the period from the 1990s to the 2010s. The results reveal that urban rainstorm waterlogging significantly expanded in a dense and circular layer surrounding the city centre, similar to the impervious surface expansion affected by urbanization policies. Taking the urban runoff plot as the research unit, GWR has achieved a good modelling effect for urban storm waterlogging. The results show that the impervious surfaces in the runoff plots of the southeastern part of Yuexiu, the southern part of Tianhe and the western part of Haizhu, which have experienced major urban engineering construction, have the strongest correlation with urban rainstorm waterlogging. However, for different runoff plots, the impact of impervious surfaces on urban waterlogging is quite different, as there exist other influence factors in the various runoff plots, although the impervious surface is one of the main factors. This result means that urban renewal strategy to optimize the spatial pattern of impervious surfaces for urban rainstorm waterlogging prevention and control should be different for different runoff plots. The results of the GWR model analysis can provide useful information for urban renewal strategy-making.

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