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A Study on the Rainfall-Runoff Analysis of Using Satellite Image
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 Title & Authors
A Study on the Rainfall-Runoff Analysis of Using Satellite Image
Park, Young-Kee; Lee, Jeung-Seok; Park, Jeong-Gyu;
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 Abstract
Urban watershed can be found in the visible changes in technology, the most realistic satellite images is to use the data. Satellite image data on the indicators for progress on the nature of the change of land use is consistent and repetitive information, regular observation makes possible the detailed analysis of space-time. These remote sensing techniques and the type of course and, by using the time series history, the past, the dynamic model and the randomized prediction methodology for the conversion process if the city and river basin cooperation of the space changes effectively will be able to extrapolate. For each of the main changes in river flow, depending on the area of urbanization as determined according to reproduce the duration of the relationship between the urbanization of the area and runoff can be represented as a linear polynomial expression was, if a linear expression in the two fast slew rate of 0.858 to 0.861 showed up, and fast slew rate of 0.934 to 0.974 for the polynomial are reported. Change of land use changes in the watershed of the flow is one of the most affecting elements. Therefore, changes in land use of the correct classification of rivers is a more accurate calculation of the amount of the floodgate. In particular, using the Landsat images through the image of the land use category, land use past data and calculated using the Markov Chain model and predict the future land use plan in the water control project will be used for large likely.
 Keywords
Markov Chain;Landsat;Transition probability;
 Language
Korean
 Cited by
1.
영상정보를 활용한 하천 서식처 분류 가능성 평가,이근상;이현석;

한국지리정보학회지, 2012. vol.15. 3, pp.91-102 crossref(new window)
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