Monitoring I-Lan coastal zone using multi-temporal satellite images / 應用衛星影像於宜蘭平原沿海地區之監測

碩士 / 國立政治大學 / 地政研究所 / 98 / Coastal zone is at the junction of ocean and land. The area constantly experiences interchanging succession of erosion and accumulation due to natural forces such as wind, wave, and tidal currents. In recent years, associated with fast population increase, the demand of lands expanded rapidly such that the effects on topography of coastal zone became more complex and changed quickly. Coastal sand dunes are dynamic and fragile terrain often regarded as environmentally sensitive areas. Sand dunes are vulnerable to erosion by natural process and human activity. The objective of this research was to examine the effects of environmental factors and land-use changes on coastal sand dunes in I-Lan County.
Satellite imageries are characterized by multi-temporal and large-scale, therefore they are ideal for providing necessary information to facilitate analysis of regional land-cover changes. In this research, three SPOT 5 images acquired in 2003, 2006 and 2009 were used to analyze land-cover changes in I-Lan coastal zone. Firstly, a hierarchical classification procedure was applied to classify the image data to five land-cover types and the land-cover changes were compared. Secondly, based on the classification results, a Markov transitional probability matrix was constructed to understand the transition among different land-cover types, and the Fragstats software was used to quantify the landscape structure of three different periods. By analyzing the spatial distributions of land-cover types in different time periods, we were able to examine to the temporal and spatial changes of land-cover in the I-Lan coastal zone. In addition, a t-test based on Shannon diversity index was used to evaluate the changes of the whole landscape in the study area. Thirdly, by selecting possible natural and man-made factors that are likely to affect coastal environment based on various prior studies, the mathematical models such as Markov chain and binomial logit regression analysis were applied to predict the future overall landscape structure and to simulate the spatial distribution of the sandy coastal zone. Thematic maps derived from satellite images obtained in 2006 and 2009 were used to verify and assess the feasibility of the models.
This study integrated several spatial statistical methods to understand the patterns of land-cover changes in the study area. It is expected that the results of this study may offer a valuable reference for the policy-makers of coastal protection and management.

Identiferoai:union.ndltd.org:TW/098NCCU5133025
Date January 2010
CreatorsHsu, Yu Ching, 徐郁晴
ContributorsJan, Jihn Fa, 詹進發
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format147

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