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http://dx.doi.org/10.11108/kagis.2022.25.2.088

Development of the Automatic Method for Detecting the National River Networks Using the Sentinel-2 Satellite Imagery -A Case Study for Han River, Seoul-  

KIM, Seon-Woo (Geospatial Research Center, Geo C&I Co., Ltd.)
KWON, Yong-Ha (Spatial Information Solution Center, Geo C&I Co., Ltd.)
CHUNG, Youn-In (Dept. of Civil Engineering, Keimyung University)
CHOUNG, Yun-Jae (Geospatial Research Center, Geo C&I Co., Ltd.)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.25, no.2, 2022 , pp. 88-99 More about this Journal
Abstract
The river network is one of the essential topographical characteristics in river management. The river network which as previously constructed by the ground surveying method has recently begun to be efficiently constructed using the remote sensing datasets. Since it is difficult to remove these obstacles such as bridges in the urban rivers, it is rare to construct the urban river networks with the various obstacles. In this study, the Sentinel-2 satellite imagery was used to develop the automatic method for detecting the urban river networks without the obstacles and with the preserved boundaries as follows. First, the normalized difference water index image was generated using the multispectral bands of the given Sentinel-2 satellite imagery, and the binary image that could classify the water body and other regions was generated. Next, the morphological operations were employed for detecting the complete river networks with the obstacles removed and the boundaries preserved. As a result of applying the proposed methodology to Han River in Seoul, the complete river networks with the obstacles removed and the boundaries preserved were well constructed.
Keywords
River Network; Sentinel-2 Satellite Image; Normalized Difference Water Index; Morphological Operations;
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Times Cited By KSCI : 3  (Citation Analysis)
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