臺灣地區山高水急，河川侵蝕搬運作用旺盛，侵蝕物被帶到河流下游及出海口處堆積，而海岸區的波浪也會將之侵蝕或是搬運，兩者間作用直接影響到水體濁度與含砂量的變化；過去欲了解水中含砂量大都以人工的方式到現場量測，不只曠日費時且所費不貲，所得的資訊也侷限為點狀或線狀的分布，也無法經常性地讀取具代表性的足夠樣本，對於泥砂量分布的了解依然有盲點與限制；近年來由於遙感探測技術日新月異，且高解析力衛星影像的取得方便，以衛星影像量測含砂量變化，不但快速、經濟且是面狀具有時間序列資料，但是數位影像的頻譜像元資訊無法轉換成為水的濁度與含砂量，其間必須建立對應的關聯，同時檢測其可行性及準確性。
本研究探討的就是高解析力衛星多光譜影像中不同波段與水中含砂量(懸浮物濃度與濁度)的關係。即以GER 1500光譜儀採樣數據，以SPOT多光譜影像的三個波段分隔出G、R、N-IR波段，分別與現場水質檢測資料比較；再以取得的SPOT衛星影像不同波段DN值與當日採樣的光譜數據對應，迴歸出SPOT衛星與光譜儀兩者間的修正量。最後即可得出以衛星影像所量測出之懸浮度及濁度。
研究發現：懸浮度與SPOT衛星R波段對應關係較好，與現場採樣光譜總能量相關係數可達0.8626；濁度則與SPOT衛星G波段對應關係較好，與現場採樣光譜總能量的相關係數可達0.7204。

Due to high elevation and precipitation of Taiwanese landscape, the land erodes rapidly. The eroded sediments being transported downward by river streams towards estuary, where it discharge into the ocean. The interaction between erosion and transportation of the eroded materials plays an important role in controlling the sand content and turbidity of waters. In the pass, the Suspended Sediment Concentration (SSC) was measured manually; it is sometimes unreliable due to data are gathered by different space and time; moreover, it is time consuming and costy. When obtaining these data by satellite imaging, it will provide us a much more consistant data in time, and cheaper in cost. To achieve this goal, one must attempt to correlate the satellite information with the actual SSC in the real time, the feasibility and accuracy of their relationship is need to be validated.
The objective of this research is attempting to establish the relation between actual SSC and turbidity with different wavelength data from high-resolution optical satellite images. Three different type of satellite data are used: In-situ sample data, high resolution satellite image, and the simulate experiments. The in situ spectrum sampled with GER 1500 Spectrummeter, was separated into three wavelengths based on SPOT satellite wave bands G, R, and N-IR bands; each were studied between the actual SSC, turbidity and seawater reflectance on the date. After regression analysis between DN value from SPOT image and spectrum signal, the relative connection parameters to the SSC and turbidity was established.
The results show that SSC is considerably correlated t the SPOT satellite R band of the in situ spectrum data with correlation coefficient of 0.8626; and the turbidity is considerably correlated to the SPOT satellite G band of the in situ spectrum data, with the correlation coefficient of 0.7204.

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