LANDSTAT 자료를 이용한 유출곡선지수의 추정

Abstract

수치고도모델을 이용하여 유역의 지형학적 특성을 분석하고, LANDSAT 위성영상을 이용하여 유역의 토지피복상태를 분류한 후 유출곡선지수를 추정하였다. 특히, 우리나라는 유역의 대부분을 산림이 차지하는 피복특성이 있으므로 식생의 다중반사특성을 응용하여 산림지역을 분류하고 유출곡선지수 추정에 응용하였다. 산림지역은 식생의 건강 상태나 밀도에 따?? 유출특성이 변화하는데, LANDSAT 위성영상의 다중분광자료를 사용하여 산출한 식생지수는 산림지역을 밀도나 건강상태에 따라 분류하는데 유용하였다. 또한 식생지수를 사용하여 산림지역을 분류한 후 산출한 유출곡선지수는 산림지역을 분류한 후 산출한 유출곡선지수에 비하여 감소하는 것을 확인할 수 있었다.

Having analyzed the topographical quality of the basin using Digital Elevation Model and classified land uses by LANDSAT Satellite image, we estimated Runoff Curve Numbers.

Most of the basins are characterized by the forest, therefore multiple reflex qualities were used to classify the forest and to estimate Runoff Curve Numbers. Because runoff changes according to the vegetative health and density, the vegetation index derived from the multispectral data of LANDSAT satellite images was useful to classify the forest by its health and density.

It was observed that Runoff Curve Number decreased when the vegetation index was taken into account.

In conclusion, the mulispectal image was useful to observe special quality and classification of the land.

Having analyzed the topographical quality of the basin using Digital Elevation Model and classified land uses by LANDSAT Satellite image, we estimated Runoff Curve Numbers.

Most of the basins are characterized by the forest, therefore multiple reflex qualities were used to classify the forest and to estimate Runoff Curve Numbers. Because runoff changes according to the vegetative health and density, the vegetation index derived from the multispectral data of LANDSAT satellite images was useful to classify the forest by its health and density.

It was observed that Runoff Curve Number decreased when the vegetation index was taken into account.

In conclusion, the mulispectal image was useful to observe special quality and classification of the land.