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Pixels and patterns: A satellite-based investigation of changes to urban features in the Sanya Region, Hainan Special Economic Zone, China

Author: Millward Andrew Allan
Author affiliations: University of Waterloo (Canada)
Publication date: 2004
Dissertation type: dissertation(Ph.D)
Abstract: Throughout most of China, and particularly in the coastal areas of its south, ecological resources and traditional culture are viewed by many to be negatively impacted by accelerating urbanization. As a result, achieving an appropriate balance between development and environmental protection has become a significant problem facing policy-makers in these urbanizing areas. The establishment of a Special Economic Zone in the Chinese Province of Hainan has made its coastal areas attractive locations for business and commerce. Development activities that support a burgeoning tourism industry, but which are damaging the environment, are now prominent components of the landscape in the Sanya Region of Hainan. In this study, patterns of urban growth in the Sanya Region of Hainan Province are investigated. Specifically, using several forms of satellite imagery, statistical tools and ancillary data, urban morphology and changes to the extent and spatial arrangement of urban features are researched and documented. A twelve-year chronology of data was collected which consists of four dates of satellite imagery 1987, 1991, 1997, 1999) acquired by three different satellite sensors SPOT 2 HRV, Landsat 5 TM, Landsat 7 ETM+). A method of assessing inter-temporal variance in unchanged features is developed as a surrogate for traditional evaluations of change detection that require spatially accurate and time-specific data. Results reveal that selective PCA using visible bands with the exclusion of an ocean mask yield the most interpretable components representative of landscape urbanization in the Sanya Region. The geostatistical approach of variography is employed to measure spatial dependence and to test for the presence of directional change in urban morphology across a time series of satellite images. Interpreted time-series geostatistics identify and quantify landscape structure, and changes to structure, and provide a valuable quantitative description of landscape change that was previously unavailable for the Sanya Region. Data acquired from the IKONOS-2 satellite are analyzed using the normalized difference vegetation index NDVI) to identify urban greenspace in three subscenes extracted from the Sanya landscape. Results suggest that urban greenspace can be successfully characterized with enhanced detail using landscape pattern indices LPIs) and a correlogram approach. Inclusion of a spatial approach to greenspace characterization and planning is argued to be an important and easily implemented method for enhanced evaluation of urban quality of life. The government of Hainan has stated that it wishes to employ additional and more refined means of guiding future development practices. This study is a landscape analysis involving change detection of land cover as well as the spatial analysis of urban morphological features. It develops methodologies that may be used to investigate and document past and current urban conditions; some of these could be used by the Hainan Government to further their future urban planning goals of economic growth and ecological sustainability.
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