scholarly journals EVALUATION ON URBAN LAND EXPANSION QUALITY OF QINGDAO CITY FROM 2010 TO 2018

2021 ◽  
Vol XLIII-B3-2021 ◽  
pp. 123-126
Author(s):  
T. Zhang ◽  
H. Dai ◽  
G. Wang ◽  
L. Zheng ◽  
M. Zhang
Keyword(s):  
Land Cover ◽  
Urban Expansion ◽  
Urban Land ◽  
Spatiotemporal Pattern ◽  
Land Cover Type ◽  
Remote Sensing Images ◽  
Urban Land Expansion ◽  
Qingdao City ◽  
Urbanization Rate

Abstract. With the process of people moving from rural to urban area, the urban land boundary expanded significantly. In this paper, the urban land areas of Qingdao were extracted by using remote sensing images from 2010 to 2018. The spatiotemporal pattern of urban expansion in Qingdao city was revealed. Furthermore, the land cover type of the urban expansion area and urbanization rate were also analyzed to study the quality of urban expansion in different counties. It has shown that over 95% land cover types are impervious in the build-up areas of Qingdao, e.g. Shibei and Shinan district. However, there are more forest and water land exist in the suburban counties. The urban land expansion rate and people urbanization rate are highly related.

Spatiotemporal Pattern Analysis of Rapid Urban Expansion Using GIS and Remote Sensing

2010 ◽  
Vol 1 (2) ◽  
pp. 55-70 ◽  
Author(s):  
Hyun Joong Kim
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Growth ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Urban Expansion ◽  
Local Scale ◽  
Spatiotemporal Pattern ◽  
Land Use Land Cover ◽  
Modeling Studies

Rapidly growing urban areas tend to reveal distinctive spatial and temporal variations of land use/land cover in a locally urbanized environment. In this article, the author analyzes urban growth phenomena at a local scale by employing Geographic Information Systems, remotely sensed image data from 1984, 1994, and 2004, and landscape shape index. Since spatial patterns of land use/land cover changes in small urban areas are not fully examined by the current GIS-based modeling studies or simulation applications, the major objective of this research is to identify and examine the spatial and temporal dynamics of land use changes of urban growth at a local scale. Analytical results demonstrate that sizes, locations, and shapes of new developments are spatio-temporally associated with their landscape variations and major transportation arteries. The key findings from this study contribute to GIS-based urban growth modeling studies and urban planning practices for local communities.

scholarly journals Scenario Analysis on Climate Change Impacts of Urban Land Expansion under Different Urbanization Patterns: A Case Study of Wuhan Metropolitan

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Xinli Ke ◽  
Feng Wu ◽  
Caixue Ma
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Urban Expansion ◽  
Regional Climate ◽  
Urban Land ◽  
Urban Land Use ◽  
Rapid Urbanization ◽  
Urban Land Expansion ◽  
The Impact

Urban land expansion plays an important role in climate change. It is significant to select a reasonable urban expansion pattern to mitigate the impact of urban land expansion on the regional climate in the rapid urbanization process. In this paper, taking Wuhan metropolitan as the case study area, and three urbanization patterns scenarios are designed to simulate spatial patterns of urban land expansion in the future using the Partitioned and Asynchronous Cellular Automata Model. Then, simulation results of land use are adjusted and inputted into WRF (Weather Research and Forecast) model to simulate regional climate change. The results show that: (1) warming effect is strongest under centralized urbanization while it is on the opposite under decentralized scenario; (2) the warming effect is stronger and wider in centralized urbanization scenario than in decentralized urbanization scenario; (3) the impact trends of urban land use expansion on precipitation are basically the same under different scenarios; (4) and spatial distribution of rainfall was more concentrated under centralized urbanization scenario, and there is a rainfall center of wider scope, greater intensity. Accordingly, it can be concluded that decentralized urbanization is a reasonable urbanization pattern to mitigate climate change in rapid urbanization period.

scholarly journals Pemanfaatan Data Landsat Multitemporal Untuk Pemetaan Pola Ekspansi Perkotaan Secara Spasiotemporal (Studi Kasus Pada Tiga Perkotaan Metropolitan Di Pulau Jawa)

2018 ◽  
Vol 2 (1) ◽  
pp. 99
Author(s):  
Like Indrawati ◽  
Ari Cahyono
Keyword(s):  
Random Forest ◽  
Land Cover ◽  
Urban Expansion ◽  
Rapid Expansion ◽  
City Size ◽  
Digital Data ◽  
Urban Systems ◽  
Spatiotemporal Pattern ◽  
Random Forest Algorithm ◽  
Object Based

Utilization of multitemporal remote sensing data among others can be used todetermine thepattern of changes in urban expansion. One of the most important types of cities in urban systems isthe metropolitan urban area that covers several districts and cities. This is because the regiongenerally acts as the capital of the country, the provincial capital, and the center of economicactivities that are national or strategic. Understanding urban expansion at different metropolitanurban levels is important for expanding knowledge in times of urban growth and its impact on theenvironment. Aims in this study are: (1) utilization of multitemporal Landsat data for mapping urbanexpansion patterns, (2) knowing the effectiveness of object-based classification for mapping of urbansettlements and (3) spatiotemporal urban expansion pattern analysis in three metropolitan cities onJava Island.. In this study focused on three metropolitan urban in Java, namely DKI. Jakarta,Surabaya and Semarang. This study utilizing Landsat TM, ETM + and OLI image data to map urbansettlement land cover using object-based classification with Random Forest algorithm. Next,quantifying the typology of urban expansion and compare the spatiotemporal pattern of urbanexpansion during 2005-2015 on the results of land cover mapping. This research has found that (1)object-based classification with Random Forest algorithm is quite effective in terms of time of work tomap urban settlement cover on Landsat digital data having medium spatial resolution; (2) the threeurban metropolia is experiencing rapid and massive development and has a very variedspatiotemporal pattern; (3) Size of the city affect the pattern of urban expansion, followed by rapidexpansion of the region. Larger city size with relatively rapid expansion is more likely to experiencethe edge extension model, while smaller cities tend to develop with outlying models.

scholarly journals Analysis on the Spatio-Temporal Characteristics of Urban Expansion and the Complex Driving Mechanism: Taking the Pearl River Delta Urban Agglomeration as a Case

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Luo Liu ◽  
Jianmei Liu ◽  
Zhenjie Liu ◽  
Xuliang Xu ◽  
Binwu Wang
Keyword(s):  
Pearl River Delta ◽  
Urban Landscape ◽  
Urban Expansion ◽  
Urban Land ◽  
Pearl River ◽  
Driving Mechanism ◽  
The Pearl River Delta ◽  
Urban Land Expansion ◽  
Spatio Temporal ◽  
The Pearl River

Rapid urbanization on a global scale leads to a number of issues such as arable land occupation and ecological degradation. In this context, analyzing the driving mechanism of urban land expansion in complex urban systems facilitates sustainable urban development. Most relevant studies focused on the role of each driving factor and less considered the interaction between different factors spatially and temporally. In order to provide a deep insight into the complex driving mechanism of urban expansion, this study began with an analysis of the spatio-temporal characteristics of urban expansion in the Pearl River Delta (PRD) urban agglomeration in different periods. Then, the driving mechanism of urban expansion intensity (UEI) and urban expansion landscape pattern were analyzed, based on the interaction of different driving factors over space and time. The result showed as follows. (1) During the period of 2000–2008, the overall UEI in the PRD was higher than that of the period of 2008–2015. From 2000 to 2015, the most important source of urban land expansion was farmland, followed by forest land. Meanwhile, the decline in the proportion of outlying expansion type indicated that the urban land has gradually become more compact. (2) From 2000 to 2015, the socio-economic factors had a greater effect on UEI than natural factors. And the interaction between the pairs of factors on UEI during 2000–2008 was significantly stronger than that during 2008–2015. (3) The driving factors of the urban landscape expansion index during the period from 2008 to 2015 were far more powerful than 2000–2008. And the interaction between the pairs of factors on urban landscape expansion index during 2000–2008 was significantly stronger than that during 2008–2015.

scholarly journals Urban land cover type determines the sensitivity of carbon dioxide fluxes to precipitation in Phoenix, Arizona

PLoS ONE ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. e0228537 ◽  
Author(s):  
Elí R. Pérez-Ruiz ◽  
Enrique R. Vivoni ◽  
Nicole P. Templeton
Keyword(s):  
Carbon Dioxide ◽  
Land Cover ◽  
Urban Land ◽  
Land Cover Type ◽  
Carbon Dioxide Fluxes ◽  
Cover Type ◽  
Urban Land Cover

scholarly journals Urban Expansion and Farmland Loss in Beijing during 1980–2015

2018 ◽  
Vol 10 (11) ◽  
pp. 3927 ◽  
Author(s):  
Yingjie Hu ◽  
Xiangbin Kong ◽  
Ji Zheng ◽  
Jin Sun ◽  
Linlin Wang ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
Average Quality ◽  
The Past ◽  
Land Use Efficiency ◽  
Farmland Loss ◽  
Use Efficiency ◽  
Urban Land Expansion

The analysis of urban land expansion and farmland loss is essential to adequately understand the land use change in a rapidly urbanizing China. We found that both urban expansion and farmland loss in Beijing experienced high- and low-speed stages and their spatial patterns were consistent during the past 35 years as most of the newly expanded urban land was converted from farmland. The area of farmland loss by urban expansion in Beijing is 12.6 km2/year, 39.86 km2/year, 23.38 km2/year, and 41.11 km2/year during the period of 1980–1990, 1990–2000, 2000–2010, and 2010–2015, respectively. The urban expansion in Beijing continuously preferred to consume “above average” quality farmland during 1980–2015. Meanwhile, although the urban expansion in Beijing was highly dependent on occupying farmland, the dependence of urban expansion on farmland consumption has declined over time. However, the contribution of urban expansion on farmland loss increased during 1980–2010 and decreased afterward. In order to protect the farmland from urban expansion, we call for more effort to improve the urban land use efficiency with rigid controls over areas of urban expansion.

Land Cover Changes and Urban Expansion in Chongqing, China: A Study Based on Remote Sensing Images

2021 ◽  
pp. 097542532199803
Author(s):  
Xuan Sun ◽  
Yunxia Liu ◽  
Tao Sun ◽  
Sihang Yu ◽  
Chenguang Li ◽  
...  
Keyword(s):  
Land Cover ◽  
Spatial Clustering ◽  
Urban Expansion ◽  
Land Cover Changes ◽  
Remote Sensing Images ◽  
Urbanization Process ◽  
Landsat Images ◽  
Local Topography ◽  
Spatio Temporal ◽  
The City

China has experienced an unprecedented rate of urbanization in recent decades. As a city with strong political and economic influences in the southwest of China, Chongqing is a typical example of rapidurban development in this period of time. To study the land cover changes and urban expansion of Chongqing, Landsat images from 1999 to 2018 were selected, processed, and quantitatively analysed The results showed that the built-up area of the city had increased tremendously during these years, yet vegetation still accounted for the vast majority of the city’s land area. Restricted by the local topography including mountains and hills and infrastructure constructions, the urbanization process that occurred in central Chongqing actually showed a dominant expansion direction, an obvious spatial clustering tendency, and significant spatio-temporal differences among various regions.

Modelling urban expansion in the transitional Greater Mekong Region

Urban Studies ◽  
2017 ◽  
Vol 55 (8) ◽  
pp. 1729-1748 ◽  
Author(s):  
Han Li ◽  
Yehua Dennis Wei ◽  
Kim Korinek
Keyword(s):  
Economic Growth ◽  
Urban Areas ◽  
Urban Expansion ◽  
Urban Land ◽  
Physical Factors ◽  
Population Growth Rates ◽  
Mekong Region ◽  
Country Level ◽  
Transitional Countries ◽  
Urban Land Expansion

Urban expansion in emerging urban areas has drawn plenty of attention. The Greater Mekong Region (GMR) has experienced dramatic urbanisation and urban land expansion in recent decades. Based on built-up area data from the World Bank compiled over the 2000–2010 period, this paper integrates geographical, socioeconomic and physical factors to explore the underlying patterns and dynamics of urban land expansion in the GMR. An explicit and critical emphasis is placed on institutional conditions. The growth of built-up areas in the GMR has concentrated heavily in the capital cities and coastal areas. Additionally, the transitional countries have shown more dramatic expansion. The results of multi-level models suggest that urban developments in the GMR are not only sensitive to local contexts, such as distance to coastlines, accessibility factors and population growth rates, but are also closely associated with country-level factors, such as country political systems, and patterns of economic growth and foreign investment. We also find that the demographic measures of urbanisation have more influence in Thailand, while measures of economic growth have more marked impacts in the transitional countries.

Analysis of Urban Expansion and Modeling of LULC Changes Using Geospatial Techniques: The Case of Adama City

2020 ◽  
Vol 4 (1-2) ◽  
pp. 40-58
Author(s):  
Bedasa Regassa ◽  
Mikir Kassaw ◽  
Murugesan Bagyaraj
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
Spatiotemporal Variability ◽  
Kappa Statistics ◽  
Geospatial Techniques ◽  
Lulc Changes ◽  
The Right

In the last decades, Adama city has experienced drastic changes in its shape, not just in its vast geographical expansion, but also by internal transformations. Subsequently, understanding and evaluating the spatiotemporal variability of urban land use and land cover (LULC) shifts, and it is important to bring forth the right strategies and processes to track population development in decision-making. The goal of this analysis was therefore to examine LULC changes that have taken place over 37 years, forecast the long-term urban development in Adama City using geospatial techniques. To attain this, satellite data of Landsat 1973, 2000 and 2010 was downloaded from USGS Earth Explorer and processed using Arc GIS 10.5, Erdas 9.2, and Idrisi 32. A supervised classification technique has been used to prepare the base maps with six land cover classes that are accustomed to generate LULC maps. The maps are cross-tabulated to measure LULC changes, to look at land-use transfers between the land cover classes, to spot increases and declines in built-up areas in comparison to other land cover classes, and to determine the spatial changes in built-up areas. Finally, Markov Chain and CA-Markov techniques were used to model the LULC changes in the Adama district and to forecast possible changes in urban land use. The model was verified by the Kappa statistics and also by the application of other validation techniques. The growth of built-up areas in the last 37 years has risen from 2% in 1973, 10% in 2000 and 23% in 2010 and estimated about 60% over the next 30 years (2040).

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