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Bringing Geospatial Analysis to the Social Studies: an Assessment of the City Sprawl in China

Authors :
Lemenkova Polina
Ocean University of China (OUC)
Aristotle University of Thessaloniki, School of Geology, Department of Physical and Environmental Geography
Publication Year :
2018
Publisher :
figshare, 2018.

Abstract

Research area: Taipei urban landscapes, Taiwan. Located on the north of the Taiwan Island, Taipei is the country's core urban political and economic center with population reaching over 2.6 M and continuing to expand within the city Research aim: spatio-temporal analysis of urban dynamics in study area during 15 years (1990-2005) Data capture: The data include Landsat TM images taken from the U.S.G.S. website. The software used is ENVI GIS. Research objective: application of geoinformatic tools, remote sensing data and application of methodology to spatial analysis for a case study of Taipei. Research problem: In the past decades, the process of urbanization has become more notable in the East Asia. Since past decades, Taipei city undergone serious urban changes.The development of urban landscapes in Taipei has unique feature; Taiwan's exceptional economic and industrial growth since 1980s, which is often referred as "industrial wonder of Taiwan". Recently, the country quickly transformed from an agriculture-based traditional economy into a highly industrialized society. As a result, Taiwan has now a new face of high-technology oriented, economically restructured economy. This caused changes in the face of the country, modifying both its social and natural landscape patterns. Taiwan is nowadays a highly urbanized country with almost 80% of the total population of Taiwan living in urban areas. Intensive urbanization necessarily create new conditions for human-nature co-existence, since rapidly growing city and high urbanization rate affect biodiversity and ecosystems sustainability. The process of urbanization includes transformation of natural landscapes: typical natural land cover type are being transformed into human-affected artificial surfaces and the city area enlarges. Anthropogenic pressure increased rapidly due to the expansion of Taipei metropolitan area. Rapid urbanization affects complex interrelations of natural and urban ecosystems, changes their structure, size and shape, which becames a serious environmental problem. At the same time, Taiwan has unique natural landscapes with high environmental value, outstanding natural beauty, rare and extinct species. In vies of this, environmental monitoring should be considered for effective city management and nature conservation on the island. Methods: Workflow includes following steps: Preliminary processing Creation color composites Classification using K-means algorithm Mapping using classification results Accuracy assessment. The preliminary data processing includes image contrast stretching, which is useful as by default, ENVI displays images with a 2% linear contrast stretch. For better contrast the histogram equalization contrast stretch was applied to the image in order to enhance the visual quality. Reults. Based on the image classification, three (3) areas within the city has been selected and distinguished: I, II, III. Comparing regions I, II and III, the conclusion is the following: Region I has changes in the land cover types since 1990s. It has much more changes comparing to the core, old city area (region II) Region II (the core city) is the most stable region. It has the least changes, because this area has been already industrialized for a long time. Region III, has undergone notable changes. This is caused by the intensive relocation of the population to the Taipei area after 1980s. This is regions is dynamically developing within the Taipei since 1990s.

Subjects

Subjects :
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding)
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis
[SDE.MCG]Environmental Sciences/Global Changes
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
Image processing Image recognition
satellite imagery
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General
ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS
Image processing
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement
Image processing Pattern recognition
Image processing Image reconstruction techniques
cartography
[INFO]Computer Science [cs]
mapping
Image processing Digital image processing
Image processing -- Digital techniques
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION
[SDE.IE]Environmental Sciences/Environmental Engineering
[SHS.GEO]Humanities and Social Sciences/Geography
ENVI GIS
[INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering
[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]
GIS
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture
[SDE.ES]Environmental Sciences/Environmental and Society
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
land cover changes
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction
[SHS.ENVIR]Humanities and Social Sciences/Environmental studies
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Landsat TM
[SDE]Environmental Sciences
ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
satellite images
land cover types
ACM: I.: Computing Methodologies
image classification

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8b73211bbe690c95632ef3bf1cafe5de
Full Text :
https://doi.org/10.6084/m9.figshare.7435172