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Modeling Urban Expansion in Vietnam ...
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Xi, Li.
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Modeling Urban Expansion in Vietnam Using Time Series Landsat.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Modeling Urban Expansion in Vietnam Using Time Series Landsat./
作者:
Xi, Li.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
55 p.
附註:
Source: Masters Abstracts International, Volume: 81-02.
Contained By:
Masters Abstracts International81-02.
標題:
Geography. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13879421
ISBN:
9781085593670
Modeling Urban Expansion in Vietnam Using Time Series Landsat.
Xi, Li.
Modeling Urban Expansion in Vietnam Using Time Series Landsat.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 55 p.
Source: Masters Abstracts International, Volume: 81-02.
Thesis (M.A.)--State University of New York at Binghamton, 2019.
This item must not be sold to any third party vendors.
Ho Chi Minh City Metropolitan Area (HCMA) has undergone tremendous urban expansion in the last several decades. To quantify its long-lasting urban growth, an objective and repeatable method was proposed using all available Landsat between 2000 and 2017. Therefore, time series impervious surface cover fractions were estimated for the HCMA area on the basis of sub-pixel analysis. Sub-pixel methods can successfully be applied upon the heterogeneous urban landscape, while per-pixel methods can only assign one image pixel to one urban land cover category. The proposed methodology in this study not only produced an impervious surface fraction cube which demonstrates time series urban expansion at HCMA area, but also depicted long-term urban trajectories with a four-parameter logistic model. This selected logistic model was utilized to delineate a complete urban evolution trajectory between 2000 and 2017. Moreover, a different logistic model was used to show urban expansion density variations over distance from the urban core. Important results have been generated from the proposed method. First, the central urban density of HCMA continued to increase between 2000 and 2017 and caused great impacts in its surrounding provinces, including Binh Duong, Dong Nai, and Long An. A significant number of agricultural lands have been converted into urban land during intensive urban sprawl. This continuing urban sprawl has also prospered several cities adjacent to the Ho Chi Minh City in the HCMA area, including Bien Hoa City, Thu Dau Mot City, and Tan An City. Time series modeled impervious surface cover fractions were used to compare with the reference samples for accuracy assessments. The best MAE, SE, RMSE and adjusted R2 are 4.73%, 0.81%, 5.52%, and 0.85. The accuracy of the adopted sub-pixel mapping method is comparable to, or even better than those of previous studies. Moreover, time series urban trajectory of HCMA area demonstrated a typical three-stage urban transition process, including the pre-change stage, change stage with an increase in impervious surface, and the post-change stage with saturated impervious surface. Green vegetation space has been often transformed into the impervious surface during urban sprawl. Further, the urban expansion density analysis shows that impervious surface density continued to decrease as distance decayed from the center, but continued to increase over HCMA area between 2000 and 2017. In actuality, the urban density has increased over HCMA area in the temporal domain, but decreased in the spatial domain. Overall, the proposed method provided an objective and repeatable means to estimate time series urban expansion, evolution, and density changes at the HCMA area in the 2000-2017 period.
ISBN: 9781085593670Subjects--Topical Terms:
524010
Geography.
Subjects--Index Terms:
Duration
Modeling Urban Expansion in Vietnam Using Time Series Landsat.
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Ho Chi Minh City Metropolitan Area (HCMA) has undergone tremendous urban expansion in the last several decades. To quantify its long-lasting urban growth, an objective and repeatable method was proposed using all available Landsat between 2000 and 2017. Therefore, time series impervious surface cover fractions were estimated for the HCMA area on the basis of sub-pixel analysis. Sub-pixel methods can successfully be applied upon the heterogeneous urban landscape, while per-pixel methods can only assign one image pixel to one urban land cover category. The proposed methodology in this study not only produced an impervious surface fraction cube which demonstrates time series urban expansion at HCMA area, but also depicted long-term urban trajectories with a four-parameter logistic model. This selected logistic model was utilized to delineate a complete urban evolution trajectory between 2000 and 2017. Moreover, a different logistic model was used to show urban expansion density variations over distance from the urban core. Important results have been generated from the proposed method. First, the central urban density of HCMA continued to increase between 2000 and 2017 and caused great impacts in its surrounding provinces, including Binh Duong, Dong Nai, and Long An. A significant number of agricultural lands have been converted into urban land during intensive urban sprawl. This continuing urban sprawl has also prospered several cities adjacent to the Ho Chi Minh City in the HCMA area, including Bien Hoa City, Thu Dau Mot City, and Tan An City. Time series modeled impervious surface cover fractions were used to compare with the reference samples for accuracy assessments. The best MAE, SE, RMSE and adjusted R2 are 4.73%, 0.81%, 5.52%, and 0.85. The accuracy of the adopted sub-pixel mapping method is comparable to, or even better than those of previous studies. Moreover, time series urban trajectory of HCMA area demonstrated a typical three-stage urban transition process, including the pre-change stage, change stage with an increase in impervious surface, and the post-change stage with saturated impervious surface. Green vegetation space has been often transformed into the impervious surface during urban sprawl. Further, the urban expansion density analysis shows that impervious surface density continued to decrease as distance decayed from the center, but continued to increase over HCMA area between 2000 and 2017. In actuality, the urban density has increased over HCMA area in the temporal domain, but decreased in the spatial domain. Overall, the proposed method provided an objective and repeatable means to estimate time series urban expansion, evolution, and density changes at the HCMA area in the 2000-2017 period.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13879421
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