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Technical Commission VII (B7)

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Bibliographic data

fullscreen: Technical Commission VII (B7)

Multivolume work

Persistent identifier:
1663813779
Title:
XXII ISPRS Congress 2012
Sub title:
Melbourne, Australia, 25 August-1 September 2012
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663813779
Language:
English
Additional Notes:
Kongress-Thema: Imaging a sustainable future
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Document type:
Multivolume work

Volume

Persistent identifier:
1663821976
Title:
Technical Commission VII
Scope:
546 Seiten
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663821976
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(39,B7)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist ermittelt.
Literaturangaben
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
[VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
QUANTITATIVE ANALYSIS OF URBAN EXPANSION IN CENTRAL CHINA Y. Zeng, Y. Xu, S. Li, L. He, F. Yu, Z. Zhen, C. Cai
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VII (B7)
  • Cover
  • Title page
  • TABLE OF CONTENTS
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XXXIX, Part B7, Commission VII - elSSN 2194-9034
  • [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]
  • [VII/2: SAR INTERFEROMETRY]
  • [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]
  • [VII/4: METHODS FOR LAND COVER CLASSIFICATION]
  • [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
  • FOREST RESOURCES STUDY IN MONGOLIA USING ADVANCED SPATIAL TECHNOLOGIES D. Amarsaikhan, M. Saandar, V. Battsengel, Sh. Amarjargal
  • A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS G. Artese, V. Achilli, M. Fabris, M. Perrelli
  • SEASONAL DIFFERENCES IN SPATIAL SCALES OF CHLOROPHYLL-A CONCENTRATION IN LAKE TAIHU, CHINA Ying Bao, Qingjiu Tian, Shaojie Sun, Hongwei Wei, Jia Tian
  • DETERMINATION OF MAGNITUDE AND DIRECTION OF LAND USE/ LAND COVER CHANGES IN TERKOS WATER BASIN, ISTANBUL F. Bektas Balcik, C. Goksel
  • KERNEL-COMPOSITION FOR CHANGE DETECTION IN MEDIUM RESOLUTION REMOTE SENSING DATA Andreas Ch. Braun, Uwe Weidner, Stefan Hinz
  • METHODS FOR MULTITEMPORAL ANALYSIS OF SATELLITE DATA AIMED AT ENVIRONMENTAL RISK MONITORING M. Caprioli, A. Scognamiglio
  • MULTI-TEMPORAL SAR CHANGE DETECTION AND MONITORING S. Hachicha, F. Chaabane
  • 3D BUILDING CHANGE DETECTION USING HIGH RESOLUTION STEREO IMAGES AND A GIS DATABASE G. R. Dini, K. Jacobsen, F. Rottensteiner, M. Al Rajhi, C Heipke
  • IDENTIFYING BUILDING CHANGE USING HIGH RESOLUTION POINT CLOUDS - AN OBJECT-BASED APPROACH Steve du Plessis
  • AN INVESTIGATION OF AUTOMATIC CHANGE DETECTION FOR TOPOGRAPHIC MAP UPDATING Patricia Duncan & Julian Smit
  • CEST ANALYSIS: AUTOMATED CHANGE DETECTION FROM VERY-HIGH-RESOLUTION REMOTE SENSING IMAGES Manfred Ehlers, Sascha Klonus, Thomas Jarmer, Natalia Sofina, Ulrich Michel, Peter Reinartz, Beril Sirmacek
  • AUTOMATIC MOVING VEHICLE'S INFORMATION EXTRACTION FROM ONE-PASS WORLDVIEW-2 SATELLITE IMAGERY Rakesh Kumar Mishra
  • ENVIRONMENTAL CHANGES ANALYSIS IN BUCHAREST CITY USING CORONA, SPOT HRV AND IKONOS IMAGES Ioan Noaje, Ion Gr. Sion
  • SEMI-AUTOMATED CLOUD/SHADOW REMOVAL AND LAND COVER CHANGE DETECTION USING SATELLITE IMAGERY A. K. Sah, B. P. Sah, K. Honji, N. Kubo, S. Senthil
  • ON THE USE OF DUAL-CO-POLARIZED TERRASAR-X DATA FOR WETLAND MONITORING A. Schmitt, T. Leichtle, M. Huber, A. Roth
  • OBJECT-BASED CHANGE DETECTION USING HIGH-RESOLUTION REMOTELY SENSED DATA AND GIS N. Sofina, M. Ehlers
  • EVALUATION OF TERRESTRIAL LASER SCANNING FOR RICE GROWTH MONITORING N. Tilly, D. Hoffmeister, H. Liang, Q. Cao, Y. Liu, V. Lenz-Wiedemann, Y. Miao, G. Bareth
  • ACCURACY IMPROVEMENT OF CHANGE DETECTION BASED ON COLOR ANALYSIS J. Wang, H. Koizumi, T. Kamiya
  • QUANTITATIVE ANALYSIS OF URBAN EXPANSION IN CENTRAL CHINA Y. Zeng, Y. Xu, S. Li, L. He, F. Yu, Z. Zhen, C. Cai
  • EVALUATING THE CONSISTENCY OF REMOTE SENSING BASED SNOW DEPTH PRODUCTS IN ARID ZONE OF WESTERN CHINA Qiming Zhou & Bo Sun
  • UPDATING BUILDING MAPS BASED ON OBJECT EXTRACTION AND BUILDING HEIGHT ESTIMATION L. Zhu, H. Shimamura, K. Tachibana
  • [VII/6: REMOTE SENSING DATA FUSION]
  • [VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]
  • [VII/3, VII/6, III/2, V/3: INTEGRATION OF HYPERSPECTRAL AND LIDAR DATA]
  • [VII/7, III/2, V/1, V/3, ICWG V/I: LOW-COST UAVS (UVSS) AND MOBILE MAPPING SYSTEMS]
  • [VII/7, III/2, V/3: WAVEFORM LIDAR FOR REMOTE SENSING]
  • [ADDITIONAL PAPERS]
  • AUTHOR INDEX
  • Cover

Full text

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
    
QUANTITATIVE ANALYSIS OF URBAN EXPANSION IN CENTRAL CHINA 
Y. Zeng **, Y. Xu*, S. Li*®, L. He%, F. Yu”, Z. Zhen*, C. Cai* 
? School of Geoscience and Geomatics, Centre for Geoinformatics and Sustainable Development Research, Central 
South University, Changsha 410083, China - ynzeng@csu.edu.cn 
? Department of Civil Engineering, Ryerson University, Toronto, Ontario Canada M5B 2K3 - snli@ryerson.ca 
* School of Distance Education, Central South University, Changsha 410083, China - x-cne82(g)csu.edu.cn 
Commission VII, WG VII/5 
KEY WORDS: Urban Landscape, Dynamic Changes, Metropolitan Areas, Centre China 
ABSTRACT: 
Quantifying urban expansion forms is important to understanding regional urbanization processes and urban planning. For this pur- 
pose, conventional landscape indices are commonly used for quantitative analysis of urban landscape patterns. However, these land- 
scape indices only reflect information for one particular temporal phase of landscape patterns. This paper studies and quantifies the 
dynamic changes of urban landscape from 1993 to 2006 in Changsha-Zhuzhou-Xiangtan metropolitan areas in Hunan province of 
China using landscape expansion index (LEI), which contains information of the formation processes of landscape patterns. The re- 
sults indicate that there are three types of urban expansions: infilling, edge-expansion and outlying in the study area. The change of 
proportion of the three urban expansion types reveals that urban expansion patterns have changed from a messy, dispersed early de- 
velopment phase to more compact and reasonable layout from 1993 to 2006. Moreover, the urban expansion modes varied in differ- 
ent periods. From 1993 to 1996, the edge-expansion and outlying were the main types of urban expansion forms, indicating an early 
stage of rapid urban developments. Comparing with the edge-expansion, the outlying expansion increased rapidly in this period, 
which indicates urban development is messy and dispersion. Overall, the edge-expansion was the major type of urban expansion 
form during the study period with outlying as the second and rapidly-increasing major form of expansion prior to 1998, which indi- 
cates urbanization is in the early stage of rapid urban developments, and infilling as the second and rapidly-increasing major form of 
expansion after 1998. 
1. INTRODUCTION 
Since the 20" century, urbanization has been accelerated global- 
ly. With ongoing urbanization, a large population is inclined to 
concentrate in urban areas. It is estimated that more than 50% of 
the world’s population lives in urban areas and the projected 
proportion of urban population will reach 69.6% by 2050, with 
urban growth concentrated in Africa and Asia (UN Millennium 
Project, 2005; UNFPA, 2007). As the largest developing coun- 
try in the world, China has experienced unprecedented econom- 
ic growth and rapid urbanization since 1980s. Its urban popula- 
tion has rapidly increased. The projected proportion of urban 
population will reach 75% by 2050, more that the world’s pro- 
jected increase. 
As the economic development policies are being implemented 
in Central China, e.g., the Changsha-Zhuzhou-Xiangtan metro- 
politan areas in Hunan province. China has been experiencing 
significant growth in both population size and urban area. Rapid 
urbanization and accelerated urban expansion have converted 
natural landscape to largely impervious land use patterns. These 
landscape pattern changes associated with urbanization are im- 
portant factors that contribute to ecological and climatic chang- 
es at local, regional, and global levels. Therefore, quantitative 
information about urban expansion types and processes and its 
explicit expression are of great interest to diverse studies and 
applications such as urban planning, water and land resource 
management, and climate change research, among others. As a 
result, it is important to quantitatively reveal urban expansion 
forms for understanding the regional urbanization process, con- 
    
trolling and planning future development of Changsha- 
Zhuzhou-Xiangtan metropolitan areas. 
The urban land use change is commonly described as either a 
change of urban extent or the rate of urban land change. The ex- 
tent and rate of urban expansion provide indications of the ag- 
gregate size of cities and the rate at which non-urban land is 
converted to urban uses (Seto et al., 2002). However, aggregate 
growth rates and extent give limited information about spatial 
patterns of urbanization. In order to quantify and describe 
changes in urban land-use patterns beyond extent and growth 
rates, landscape indices have been applied to urban morphology 
(Luck and Wu, 2002; Herold et al., 2003; Seto et al., 2005). 
Although these indices have been used to conduct empirical 
analyses of landscape patterns, they are generally focused on 
simple analysis and description of the geometric features of a 
landscape patch or pattern, while neglecting information on dy- 
namic changes of landscape patterns (Liu et al., 2009). In order 
to describe urban expansion forms quantitatively, Wilson et al. 
(2003) proposed a moving window method to quantify three ur- 
ban growth types according to the percentage of land cover 
types. Xu et al. (2007) distinguished different urban growth 
types using the ratio between the length of common edge and 
patch perimeter. Liu et al. (2009) developed a quantitative 
method to identify and visualize different types of urban 
growth. 
The core area of Changsha-Zhuzhou-Xiangtan metropolitan in 
Hunan, China includes the City of Changsha and its surround- 
ing areas. The total area is about 1428.99 km? and is the key 
center of economy, culture, manufacturing and transportation of
	        

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