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Is the New Silk Road Enhancing Urban Expansion? Spatio-Temporal Analysis with Remote Sensing Data

Soltani, Mohammad Salim and Debray, Henri and Zhu, Xiao Xiang and Taubenböck, Hannes (2021) Is the New Silk Road Enhancing Urban Expansion? Spatio-Temporal Analysis with Remote Sensing Data. In: 26th International Conference on Urban Planning and Regional Development in the Information Society GeoMultimedia 2021, pp. 291-299. CORP – Competence Center of Urban and Regional Planning. Real CORP 2021, 08-10 Sept 2021, Vienna, Austira. ISBN 978-3-9504945-0-1. ISSN 2521-3938.

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Official URL: https://archive.corp.at/cdrom2021/papers2021/CORP2021_28.pdf


The world population is growing, and a majority of the population is and will be living in urban areas. Nearly 90 percent of this growth takes place in Asia and Africa. However, urbanisation processes are not distributed evenly. Mostly they are concentrated in prosperous regions, at infrastructural nodes, or along trade routes. The so-called New Silk Roads are new trade routes where massive investments are currently made to connect China with the world. The aim of this study is to analyse the dynamics of spatial urbanisation in spatial proximity to the New Silk Roads. In detail, we want to test the hypothesis whether higher spatial growth rates are recorded for cities along these routes than for cities in the same region but away from the New Silk Roads. For this task, we apply remotely sensed data. In this study, we extracted urban areas from multitemporal Landsat data for the time period of 1990 to 2019. We classify settlements using a Random Forest (RF) supervised classification technique. We used Gray-Level Co-Occurrence Matrix (GLCM) texture features together with spectral indices as feature set. We derive training data for our classifier by a stratified sampling method using geoinformation from the Global Human Settlement Layer (GHSL) and the ESA annual Land-cover data. The resulting consistent classifications of urban areas have temporal intervals of 5 years, i.e. 1990,1995, 2000, 2005,2010,2014, 2019 and feature high accuracies. We selected cities with over 300,000 inhabitants. We define cities in proximity to the New Silk Roads (NSR cities) within a 100 km distance vs. cities with at least 100 km distance from the NSR (non-NSR cities); these cities are located in China, central Asian countries such as Kazakhstan, including Iran, Turkey, and Russia. We quantitively analyse spatio-temporal urban expansion trends for both groups, NSR, and non-NSR cities, for testing our hypothesis. To do so, we applied various urbanisation indices such as Overall Built-up Changed Area (OBAC), Annual Expansion Area (AEA), and urban Expansion Rate (ER). Generally, our results reveal that spatial urbanisation is increasing over the last almost 30 years in all cities among our sample. The spatial comparison of our two groups of cities reveals that our hypothesis can be confirmed: from 2014 to 2019, urban expansion in cities along the New Silk Road was significantly faster with an annual expansion rate of 339 km2 compared to 113 km2 in cities spatially distanced from the New Silk Roads. This trend did not exist before the year 2010.

Item URL in elib:https://elib.dlr.de/143983/
Document Type:Conference or Workshop Item (Speech)
Title:Is the New Silk Road Enhancing Urban Expansion? Spatio-Temporal Analysis with Remote Sensing Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Soltani, Mohammad SalimUniversität WürzburgUNSPECIFIED
Debray, HenriHenri.Debray (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Taubenböck, HannesHannes.Taubenboeck (at) dlr.deUNSPECIFIED
Date:September 2021
Journal or Publication Title:26th International Conference on Urban Planning and Regional Development in the Information Society GeoMultimedia 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 291-299
EditorsEmailEditor's ORCID iD
Publisher:CORP – Competence Center of Urban and Regional Planning
Keywords:Landsat, Remote Sensing, New Silk Road, Urbanization, GHSL
Event Title:Real CORP 2021
Event Location:Vienna, Austira
Event Type:international Conference
Event Dates:08-10 Sept 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research, R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Remote Sensing Technology Institute > EO Data Science
Deposited By: Debray, Henri
Deposited On:21 Sep 2021 13:15
Last Modified:21 Sep 2021 13:15

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