scholarly journals Expansion and Evolution of a Typical Resource-Based Mining City in Transition Using the Google Earth Engine: A Case Study of Datong, China

2021 ◽  
Vol 13 (20) ◽  
pp. 4045
Author(s):  
Minghui Xue ◽  
Xiaoxiang Zhang ◽  
Xuan Sun ◽  
Tao Sun ◽  
Yanfei Yang
Keyword(s):  
Urban Planning ◽  
Urban Development ◽  
Urban Expansion ◽  
Social Economy ◽  
Google Earth ◽  
Geographical Information ◽  
Human Society ◽  
Spatial Transformation ◽  
Mining City ◽  
Google Earth Engine

China's resource-based cities have made tremendous contributions to national and local economic growth and urban development over the last seven decades. Recently, such cities have been in transition from resource-centered development towards human-oriented urbanization to meet the requirements of long-term sustainability for the natural environment and human society. A good understanding of urban expansion and evolution as a consequence of urbanization has important implications for future urban and regional planning. Using a series of remote sensing (RS) images and geographical information system (GIS)-based spatial analyses, this research explores how a typical resource-based mining city, Datong, has expanded and evolved over the last two decades (2000–2018), with a reflection on the role of urban planning and development policies in driving the spatial transformation of Datong. The RS images were provided and processed by the Google Earth Engine (GEE) platform. Spatial cluster analysis approaches were employed to examine the spatial patterns of urban expansion. The results indicate that the area of urban construction land increased by 132.6% during the study period, mainly along with the Chengqu District, the Mining Area, and in the southeast of the Nanjiao District, where most new towns are located. Reflection on the factors that influence urban expansion shows that terrain, urban planning policies, and social economy are driving Datong’s urban development.

scholarly journals Monitoring Urban Expansion Using Remote-Sensing Data Aided by Google Earth Engine

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Majid Aghlmand ◽  
Gordana Kaplan
Keyword(s):  
Remote Sensing ◽  
Accuracy Assessment ◽  
Urban Expansion ◽  
Remote Sensing Data ◽  
Google Earth ◽  
Support Vector ◽  
Sensing Data ◽  
Google Earth Engine ◽  
Landsat Satellite ◽  
The City

Urbanizationis accompanied by rapid social and economic development, while the process of urbanization causes the degradation of the natural ecology. Direct loss in vegetation biomass from areas with a high probability of urban expansion can contribute to the total emissions from tropical deforestation and land-use change. Monitoring of urban expansion is essential for more efficient urban planning, protecting the ecosystem and the environment. In this paper, we use remote sensing data aided by Google Earth Engine (GEE) to evaluate the urban expansion of the city of Isfahan in the last thirty years. Thus, in this paper we use Landsat satellite images from 1986 and 2019, integrated into GEE, implementing Support vector machine (SVM) classification method. The accuracy assessment for the classified images showed high accuracy (95-96%), while the results showed a significant increase in the urban area of the city of Isfahan, occupying more than 70% of the study area. For future studies, we recommend a more detailed investigation about the city expansion and the negative impacts that may occur due to urban expansion.

URBAN PLANNING MEASURES FOR SMART CITY DEVELOPMENT

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jirawan Klaylee ◽  
Pawinee Iamtrakul ◽  
NUWONG CHOLLACOOP
Keyword(s):  
Urban Planning ◽  
Urban Development ◽  
Smart City ◽  
Spatial Organization ◽  
Local Level ◽  
Human Society ◽  
City Development ◽  
Public Data ◽  
Development Approach

Cities represent the driving force of urban development in economic, social, and cultural life which is reflecting on the spatial organization of human society. As a result, the formulation of the national strategic plan into action at the local level need to correspond the requirements of current development. Urban planning measures for controlling the development also plays an important role as an encouragement instrument as well as granting the right to utilize the land for public purposes. In this study, the application of urban planning measures under the concept of smart city development was studied to understand the needs of all stakeholders and create an appropriate investment model in Thailand by using factor analysis technique. The government sector is the key player on the role of providing infrastructure services in addition to support and guide the direction of smart city development. For the role of private sector, investment environment would encourage them to help on upgrading technology, infrastructure, and unlocking public data. The smart city development approach can open up new value chains and opportunities. Therefore, the utilize urban planning measures as a tool for urban development will bring benefit on transforming cities as well as making them smarter and more sustainable which are an important goal for integrated urban development approach.

scholarly journals Three-Dimensional Urban Expansion Analysis of Valley-Type Cities: A Case Study of Chengguan District, Lanzhou, China

2019 ◽  
Vol 11 (20) ◽  
pp. 5663 ◽  
Author(s):  
Sijia He ◽  
Xiaoyun Wang ◽  
Jingru Dong ◽  
Baocheng Wei ◽  
Hanming Duan ◽  
...  
Keyword(s):  
Urban Planning ◽  
Urban Development ◽  
Urban Expansion ◽  
Three Dimensional ◽  
Vertical Dimension ◽  
Physical Growth ◽  
Mountain Area ◽  
Expansion Speed ◽  
Horizontal Expansion ◽  
Valley Type

The development of cities in the vertical dimension is important in valley-type cities where physical growth is limited by terrain. However, little research has focused on three-dimensional urban expansion of valley-type cities. Lanzhou is a typical valley-type city in China and Chengguan District is the core area of Lanzhou City. This research is aimed at understanding the development of valley-type cities through the analysis of the three-dimensional urban expansion of Lanzhou Chengguan District and providing a reference for urban planning. We extracted five periods of architectural contours and height information between 1975 to 2018 with the support of multi-source remote sensing and network data. We used overlay analysis and mathematical statistical methods to analyze urban horizontal expansion and used the building density, floor area ratio, vertical expansion speed, fluctuation degree, and skyline to analyze urban vertical expansion. We found that the mode of horizontal expansion of Chengguan District shifted from adjacency to enclave through mountain area reclamation. The area with the fastest vertical expansion speed first appeared in the horizontal expansion completed area, and then in both the rapid horizontal expansion area and in the horizontal expansion completed area. Before 2007, the speed of horizontal expansion increased and reached its peak while the vertical expansion speed was relatively stable. After that, the former decreased, and the vertical expansion increased rapidly and dominated the urban development. The vertical expansion of the valley-type city gradually dominates urban development. Urban planning should consider the three-dimensional expansion, especially in the vertical dimension.

scholarly journals Observation of Maritime Traffic Interruption in Patagonia during the COVID-19 Lockdown Using Copernicus Sentinel-1 Data and Google Earth Engine

2021 ◽  
Vol 13 (6) ◽  
pp. 1119
Author(s):  
Cristina Rodríguez-Benito ◽  
Isabel Caballero ◽  
Karen Nieto ◽  
Gabriel Navarro
Keyword(s):  
Satellite Data ◽  
Spatial Information ◽  
Radar Data ◽  
Google Earth ◽  
Tierra Del Fuego ◽  
Geographical Information ◽  
Synthetic Aperture Radar Data ◽  
Maritime Traffic ◽  
Google Earth Engine ◽  
Satellite Radar

Human mobilization during the COVID-19 lockdown has been reduced in many areas of the world. Maritime navigation has been affected in strategic connections between some regions in Patagonia, at the southern end of South America. The purpose of this research is to describe this interruption of navigation using satellite synthetic aperture radar data. For this goal, three locations are observed using geoinformatic techniques and high-resolution satellite data from the Sentinel-1 satellites of the European Commission’s Copernicus programme. The spatial information is analyzed using the Google Earth Engine (GEE) platform as a global geographical information system and the EO Browser tool, integrated with several satellite data. The results demonstrate that the total maritime traffic activity in the three geographical hotspots selected along western Patagonia, the Chacao Channel, crossing of the Reloncavi Fjord and the Strait of Magellan was totally interrupted during April–May 2020. This fact has relevant repercussions for the population living in isolated areas, such as many places in Patagonia, including Tierra del Fuego. The study also demonstrates the relevance of satellite radar observations in coastal areas with severe cloud cover, such as the one evaluated here.

scholarly journals Simulation and prediction of Shanghai urban spatial change based on random forest and CA-Markov model

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Xuewei Dang ◽  
Liang Zhou ◽  
Xiaoen Li ◽  
Haowei Mu ◽  
Lei Che ◽  
...  
Keyword(s):  
Urban Planning ◽  
Urban Development ◽  
Urban Growth ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
City Center ◽  
Urban Simulation ◽  
The City ◽  
Red Line

<p><strong>Abstract.</strong> In the context of rapid urbanization, accurate assessment of urban expansion has become increasingly important for urban sustainable development, and smart growth theory has been put forward to avoid urban sprawl. Previous studies about urban expansion simulation focused only on ecological constrain which prevent urban growth from developing in specific regions. However, government decision-making and urban planning greatly influence urban development and limit the disorderly expansion of the urban. In this paper, we consider planning policies into urban simulation and uses the ecological protection red line, farmland protection red line and cultural protection control line as limiting factors for future urban simulation. Choosing Shanghai as the study area, we integrated Random Forests Algorithm (RFA), Markov chain and Cellular Automata (CA) to simulate urban expansion in 2015, and further predict the urban expansion in 2020, 2025 and 2030. The results show that the overall accuracy of urban land use simulation in 2015 is 93.86%, and the kappa coefficient is 0.8577. The model has a good simulation effect. Furthermore, the predicted results in 2020, 2025 and 2030 show that the urban land area in Shanghai is still increasing, and the spatial distribution of urban land has obvious circle structure and regional differences. The urban areas within 10km from the city center are growing slowly, and the region within 30km from the city center is growing faster, and there are more new urban points from 2025 to 2030. But in the area 30km away from the city center, different administrative areas show different urban growth phenomena. Among them, there are a large number of new urban points in the junction area between Songjiang District and Jinshan District, which may be the focus of future urban development planning in Shanghai. The proposed model and the results can help planners study the evolution of urban patterns and develop further urban planning.</p>

scholarly journals Protection of Ecosystem and Preservation of Biodiversity: The Geospatial Technology Approach

2021 ◽  
Vol 5 (1) ◽  
pp. 67-75
Author(s):  
S. O. Ogunlade
Keyword(s):  
Land Cover ◽  
Accuracy Assessment ◽  
Google Earth ◽  
Geographical Information ◽  
Reference Image ◽  
Special Focus ◽  
Landsat 8 ◽  
Spatial Transformation ◽  
Geospatial Technology ◽  
Bare Land

he protection of ecosystem and preservation of biodiversity through the approach of geospatial technology was the aim of this research. The channel was monitoring the spatial transformation of the Federal University of Technology, Akure, Nigeria between year 2002 and year 2018 using Satellite Remote Sensing and Geographical Information System techniques. Landsat 7 Enhanced Thematic Mapper (ETM) plus of year 2002, Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) of year 2014 and year 2018 all of 32m resolution were the satellite images obtained for the study. These images were processed with supervised maximum likelihood classification algorithm using ArcGIS 10.3 software. To validate the classification and ensure high accuracy, an accuracy assessment was performed using training samples from 60 points on each of the satellite imagery on a reference image from google earth combined with ground data collected on actual visitation to the study area to verify the true land-cover type existing on the site. The resultant images deemed fit for analyses were classified into built-up, thick vegetation, light vegetation and bare land, land cover classes. Microsoft Excel spreadsheet was used to perform land cover area calculations through which the land cover dynamics and the spatial expansion were identified. The result showed built-up (13.58%, 14.59%, 20.75%); thick vegetation (33.78%, 26.26%, 12.18%); Light vegetation (24.57%, 32.29%, 30.51%); Bare land (28.08%, 26.26%, 36.56%) for the three years respectively. A special focus was put on the general depletion of the (thick and light) vegetation of which trees are a major actor. These depletion were adduced to the positive transformation of other land cover classes through the underlining landuse. The study concluded that alteration, depletion and consequent disappearance of trees in the green ecosystem is a threat to environment’s sustainability and the protection of ecosystem and preservation of biodiversity. The study recommended the research as a tool to controlling the removal of trees and thick forest, growing more trees and plants among other factors to protect ecosystem and preserve biodiversity.

scholarly journals Mapping Land Use/Cover Dynamics of the Yellow River Basin from 1986 to 2018 Supported by Google Earth Engine

2021 ◽  
Vol 13 (7) ◽  
pp. 1299
Author(s):  
Qiulei Ji ◽  
Wei Liang ◽  
Bojie Fu ◽  
Weibin Zhang ◽  
Jianwu Yan ◽  
...  
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Yellow River ◽  
Landsat Imagery ◽  
Urban Expansion ◽  
Google Earth ◽  
The Yellow River ◽  
Entire Study ◽  
Land System ◽  
Google Earth Engine

Changes in the land use/cover alter the Earth system processes and affect the provision of ecosystem services, posing a challenge to achieve sustainable development. In the past few decades, the Yellow River (YR) basin faced enormous social and environmental sustainability challenges associated with environmental degradation, soil erosion, vegetation restoration, and economic development, which makes it important to understand the long-term land use/cover dynamics of this region. Here, using three decades of Landsat imagery (17,080 images) and incorporating physiography data, we developed an effective annual land use/cover mapping framework and provided a set of 90 m resolution continuous annual land use/cover maps of the YR basin from 1986 to 2018 based on the Google Earth Engine and the Classification and Regression Trees algorithm. The independent random sampling validations based on the field surveys (640 points) and Google Earth (3456 points) indicated that the overall accuracy of these maps is 78.3% and 80.0%, respectively. The analysis of the land system of the YR basin showed that this region presents complex temporal and spatial changes, and the main change patterns include no change or little change, cropland loss and urban expansion, grassland restoration, increase in orchard and terrace, and increase in forest during the entire study period. The major land use/cover change has occurred in the transitions from forests, grasslands, and croplands to the class of orchard and terrace (19.8% of all change area), which not only increase the greenness but also raised the income, suggesting that YR progress towards sustainable development goals for livelihood security, economic growth, and ecological protection. Based on these data and analysis, we can further understand the role of the land system in the mutual feedback between society and the environment, and provide support for ecological conservation, high-quality development, and the formulation of sustainable management policies in this basin, highlighting the importance of continuous land use/cover information for understanding the interactions between the human and natural systems.

Analysis of New Urban Planning Based on Green Ecological Economics

2016 ◽  
Vol 41 (3) ◽  
pp. 102-106
Author(s):  
Hai-ling Guan
Keyword(s):  
New York ◽  
Urban Planning ◽  
Development Strategy ◽  
Rural Areas ◽  
Urban Expansion ◽  
Social Economy ◽  
Development Trend ◽  
Ecological Planning ◽  
Ecological Civilization ◽  
Resource Saving

With the development of social economy, the urbanization of the world has presented a new development trend. The green, ecological, and economic city has gradually attracted people's attention. How to plan new cities and towns to coordinate economic development with nature has been the focus of domestic and foreign scholars. Based on this premise, this article elaborates the domestic and foreign research status of ecological city and puts forward a new type of green ecological civilization from the perspective of evolution of civilization. From the perspective of green ecological economy, the evolution of China's urban planning is studied in terms of the urban and rural areas, nature, pollution, industry, culture, and other aspects. To accumulate experience, green ecological planning in New York is also analyzed at multiple levels, such as urban expansion, energy, and urban water use. According to the development of our country in the past 30 years, the development strategy of urbanization suitable to China's national conditions is introduced on the basis of ecological economy. From the perspective of green ecological planning and economy, practice has proved that new urban planning is able to promote the establishment of a resource-saving society, to enhance the coordinated development of the population, resources, environment, and economy, and to comprehensively improve people's quality of life.

Religiously inspired urbanism: Catholicism and the planning of the southern Dutch provincial cities Eindhoven and Roermond, c. 1900 to 1960

Urban History ◽  
2015 ◽  
Vol 43 (1) ◽  
pp. 135-157 ◽  
Author(s):  
JOKS JANSSEN
Keyword(s):  
Twentieth Century ◽  
Urban Planning ◽  
Urban Development ◽  
Urban Landscape ◽  
Moral Order ◽  
Spatial Transformation ◽  
Considerable Influence ◽  
Religious Thinking ◽  
The Way

ABSTRACT:The discourse on twentieth-century urban planning has hidden from view the way religion (re)shaped the urban landscape. By analysing the interaction between urban development and Catholic politics in the southern Dutch provincial cities of Eindhoven and Roermond, this article argues that religious thinking, practice and institutions had considerable influence on urban planning. Religious views and ideas played an important role in the spatial transformation of these towns. The secular instruments of urban planning were used during the ‘pillarization’ period to emphasize the sensus catholicus of town and region, and to achieve the desired Catholic social and moral order.

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