Integration of urban growth modelling products with image-based urban change analysis

2013 ◽  
Vol 34 (15) ◽  
pp. 5468-5486 ◽  
Author(s):  
Huiran Jin ◽  
Giorgos Mountrakis
Keyword(s):  
Urban Growth ◽  
Urban Change ◽  
Growth Modelling ◽  
Change Analysis

Modelling urban growth incorporating spatial interactions between the cities: The example of the Tehran metropolitan region

2018 ◽  
Vol 47 (6) ◽  
pp. 1047-1064
Author(s):  
Sanaz Alaei Moghadam ◽  
Mohammad Karimi ◽  
Kyoumars Habibi
Keyword(s):  
Urban Growth ◽  
Satellite Images ◽  
Driving Forces ◽  
Strategic Decision ◽  
Metropolitan Region ◽  
Growth Modelling ◽  
Spatial Interactions ◽  
Metropolitan Regions ◽  
Central Business Districts ◽  
History Of

Interactions between cities play a significant role in the development of metropolitan regions. Although these interactions and their role in the urban growth modelling have already been investigated, there is still room for more studies. In this research, in addition to conventional urban growth factors, spatial interactions between the cities (SIBC) are incorporated into urban growth modelling. This causes directional trends in urban growth (DTUG). Therefore, first the DTUG of each city was measured using a developed indicator based on the history of urban growth that was extracted from satellite images and spatial statistics. The SIBC was then estimated by integrating the DTUG of the cities. Finally, the SIBC and other driving forces, including the physical suitability, accessibility and neighbourhood effects, were integrated using a cellular automata-based model. The accuracy of the model in the Tehran metropolitan region was increased by 6.44% after considering the SIBC. The analysis of the DTUG and SIBC in the Tehran metropolitan region during 1991–2000–2007–2014 revealed specific patterns as the spatial interactions intensified over time and usually peaked in the periphery of the central business districts and intense interactions existed between the metropolises and other major cities. These findings could help urban managers with strategic decision-making in the metropolitan regions and adjust the science and practice relation in this field.

Urban change analysis and future growth of Istanbul

2015 ◽  
Vol 187 (8) ◽  
Author(s):  
Anıl Akın ◽  
Filiz Sunar ◽  
Süha Berberoğlu
Keyword(s):  
Urban Change ◽  
Change Analysis ◽  
Future Growth

scholarly journals SPATIO-TEMPORAL ANALYSIS AND MODELING OF URBAN GROWTH OF BIRATNAGAR CITY, NEPAL

2019 ◽  
Vol IV-5/W2 ◽  
pp. 97-102
Author(s):  
S. Shrestha
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Growth ◽  
Urban Expansion ◽  
Urban Change ◽  
Support Vector ◽  
Land Use Land Cover ◽  
Spatial Metrics ◽  
Land Cover Map ◽  
Spatio Temporal

Abstract. Increasing land use land cover changes, especially urban growth has put a negative impact on biodiversity and ecological process. As a consequences, they are creating a major impact on the global climate change. There is a recent concern on the necessity of exploring the cause of urban growth with its prediction in future and consequences caused by this for sustainable development. This can be achieved by using multitemporal remote sensing imagery analysis, spatial metrics, and modeling. In this study, spatio-temporal urban change analysis and modeling were performed for Biratnagar City and its surrounding area in Nepal. Land use land cover map of 2004, 2010, and 2016 were prepared using Landsat TM imagery using supervised classification based on support vector machine classifier. Urban change dynamics, in term of quantity, and pattern was measured and analyzed using selected spatial metrics and using Shannon’s entropy index. The result showed that there is increasing trend of urban sprawl and showed infill characteristics of urban expansion. Projected land use land cover map of 2020 was modeled using cellular automata-based approach. The predictive power of the model was validated using kappa statistics. Spatial distribution of urban expansion in projected land use land cover map showed that there is increasing threat of urban expansion on agricultural land.

scholarly journals Peri-Urban Growth into Natural Hazard-Prone Areas. Mapping Exposure Transformation of the Built Environment in Nairobi and Nyeri, Kenya from 1948 to Today

2021 ◽  
Author(s):  
Alexander Fekete
Keyword(s):  
Urban Growth ◽  
Urban Areas ◽  
Satellite Images ◽  
Natural Hazard ◽  
Flood Hazard ◽  
Disaster Risk ◽  
Aerial Images ◽  
Change Analysis ◽  
City Centres ◽  
Risk Practice

Abstract Kenya experiences massive urban growth, also into natural hazard-prone areas, exposing settlements and the natural environment to riverine and pluvial floods and other natural hazards. While Nairobi as the capital and principal city has been extensively analysed regarding urban growth and flood hazard in some central parts, awareness of growing peri-urban areas has not been studied as much. The results are of interest to other locations in Kenya and worldwide, too, since the current research and disaster risk practice focus is still too much on megacities and city centres. Therefore, the study compares urban growth into hazard areas in urban rims of Nairobi and Nyeri, Kenya. A change assessment from 1948 to 2020 is conducted by aerial images, declassified satellite images, and recent data. Urban growth rates are 10 to 20-fold, while growth into flood exposed areas ranges from 3 to 100-fold. This study reveals unused opportunities for expanding existing land-use change analysis back to the 1940s in data-scarce environments.

Sign in / Sign up

Export Citation Format

Share Document