碩士 / 國立成功大學 / 環境工程學系 / 104 / More effective monitoring and management is required for the protection of coastal water quality, its ecosystems and economic development. Because traditional monitoring of coastal waters methods are time-consuming and laborious, the information on the spatial and temporal distribution characteristics often becomes limited and quickly obsolete. Because of this, such monitoring methods bring inevitably incomplete data representation. Use of remote-sensing satellite data, which can provide ocean color, sea surface temperatures and sea surface salinity imaging products, is therefore an improved method for monitoring in order to obtain more comprehensive coastal water quality information. Using Aqua satellites (NASA), which are equipped with MODIS (Moderate-Resolution Imaging Spectroradiometer) sensor for telemetry analysis, this study monitored for temporal and spatial distributions of chlorophyll a (Chl-a) and suspended solids (SS) concentrations along the coastal regions of Taiwan.
Approximately 5,000 MODIS Level 1A images from 2003 to 2013 were used. The images were then modified for atmospheric correction, and a select subset of most optimal algorithms were chosen. Finally, for each ocean color image, SeaBatch scripts were used to run batch processing with SeaDAS software to convert Level 1A products into Level 2 products.
Identifer | oai:union.ndltd.org:TW/104NCKU5515020 |
Date | January 2016 |
Creators | You-Sin,Wu, 吳祐欣 |
Contributors | Chih-Hua Chang, 張智華 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 143 |
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