雲霧在台灣山地生態環境、植被生長與水資源皆具有極高的重要性。雲霧的發生機制複雜，也具有不同多元的型態。為了解雲霧的空間分布特性，以氣象衛星多波段的資料，可以提供雲頂高度、雲霧範圍、雲光學厚度等資訊；然而，氣象衛星在空間尺度上，對集水而言往往過大，較無法表現出地形特徵，也無法提供更多的解釋；在台灣地區而言，地形起伏甚大，這個問題就更加嚴重。低雲在紅光與近紅外光具有一定的辨識程度，以MODIS衛星影像而言，第一波段與第二波段可以反映出這低雲特性，而空間解析度可為250公尺，DOGMA的降尺的方法與流程可將雲頂高度、雲霧範圍、雲光學厚度與其他波段灰階值等轉換至250公尺的尺度；而SPOT衛星影像也具有相近這兩個波段的波段，且空間解析度為10公尺以下，在這兩個不同衛星資料的應用下，建構出更細緻的空間雲霧特性，反映出集水區地形雲霧的特徵。儘管，不同衛星所拍攝的時間不同，在同一天可選擇基礎參考的位置，包括鄰近海洋與平原地區之紅光與近紅外光的色溫與色溫差，來評估低雲的空間位置。最後，再以多波段在雲的發生及集水區的特徵上做相互的比較探討，更精確描述集水區地形霧的空間特徵。
Cloud is an important factor of ecological environment and vegetation distribution in mountainous areas in Taiwan. The mechanic of cloud happen is complex and the types of cloud are various. In order to understand the distribution of cloud, resources remote sensors with multi-channels are used and apply cloud top height, cloud optical depth and cloud mask. However, the resolution of images from the sensor is too coarse for a watershed in Taiwan. The results can not apply further information of cloud properties with watershed characteristics. The first two bands of MODIS can apply visible and infrared channels with the resolution of 250m and the method of DOGMA can downscale the resolution of parameters, such as cloud top height, cloud optical depth and cloud mask, by them. The two band also exists in SPOT. If we can combine the information of MODIS and SPOT, the more details of cloud properties could be displayed. Even the time of the remote sensors are different, the base or reference brightness temperature and their difference from plain area and near ocean areas could overcome the problem. Furthermore, the results of cloud properties can be compared watershed properties and apply more knowledge of terrain cloud.
