Integrating evolutionary optimization and ocean color semi-analytical model for mapping Secchi disk depth of inland water from high resolution multispectral satellite data / 以多頻譜高解析度衛星影像結合最佳半解析光學理論模式模擬台灣水庫透明度分佈圖

碩士 / 國立成功大學 / 環境工程學系 / 105 / The measurement of Secchi disk depth to quantify the clarity (transparency) of water is the most direct and fast way, and most of reservoirs in Taiwan which was identified as the eutrophic reservoir because of low transparency. Transparency must be based on science as the background combined the water optical theory and physical model of transparency to explore the impact of domestic reservoir transparency of the key factors.
Therefore, this study was corrected the semi-analytical transparency (SA-SD) model to figure out optimum decision variables by using genetic algorithm. After the pattern verification, the log-R2 is 0.73, and drew a comparison between Carlson's experimental algorithm, and the stepwise regression, the log-R2 is 0.07 and 0.71, respectively. The results showed that the SA-SD model of this study have higher accuracy than the general regression models.
The remote sensing of inland water body mostly through the empirical relationship method of measuring the transparency in the past. In this study the results found that the domestic reservoir of radiative attenuation coefficient (Kd) and the surface radiation reflectance (rw) which tr and pc wavelength are located in the green band. So this study attempts to use Landsat 8 and Sentinel 2A high resolution multispectral satellite images, using green band Kd and rw as input product through the new transparent physical model for mapping Secchi disk depth of eight reservoirs.

Identiferoai:union.ndltd.org:TW/105NCKU5515036
Date January 2017
CreatorsShan-BoYang, 楊善博
ContributorsChih-Hua Chang, 張智華
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format119

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