A Study on the Reorganization of the National Spatial Information System

Abstract

Spatial information has been widely used for efficient land use and management, disaster management, environment management, infrastructure management, corporate marketing, and cultural assets management, and the need for spatial information is expected to be increased. For this reason, central government, local government and public institutions must establish a National Spatial Information System (Fifteen systems related to spatial information managed by National Spatial Data Infrastructure Policy office, NSIS) framework that guarantees high accuracy and quality. The NSIS will provide convenience usage of spatial information in the field of decision-making or civil support. However the current National Spatial Information System is mainly established with separate processes, which causes data redundancy, deterioration of information, passive opening, and sharing of the spatial data. This study suggests 4 standards, which has been derived by applying value-chain model to NSIS data flow, and they are 'Production and Establishment', 'Integration and Sharing', 'Application and Fusion' and 'Release and Opening'. Based on these standards, the 15 NSIS were analyzed to draw out implications and reforming directions were suggested. By following these suggestions we expect more recent, consist, accurate, and connected National Spatial Information Service which will be more open to public and then satisfy the demands.

Suspended Sediment Concentration Estimation along Turbid Water Outflow Using a Multispectral Camera on an Unmanned Aerial Vehicle

“…The combination of preprocessed UAV multispectral data and SSC estimation algorithm based on field observation data enables monitoring of SSC spatial distribution in a wide range. However, due to the limitations of georeferencing on water surface, existing UAV-based water quality studies have either necessarily included land (rivers and lakes) within the observation range or have only performed qualitative analysis without coordinate referencing [36,46,50]. In this study, it was demonstrated that projection of a UAV's data sequence on the water surface is possible through direct georeferencing using the IMU and GPS information mounted on the UAV.…”

“…TriOS RAMSES [45] is a hyperspectral sensor with 256 channels for the UV-Vis wavelength band (320-950 nm) and is a high-precision radiometer used for monitoring land and water quality. Kim et al [46] showed that the radiance and irradiance had lower spectral values in the NIR wavelength band of RedEdge than in the TriOS RAM SES; however, their differences were negligible in most bands. Thus, RedEdge can obtain 2D ocean color observations instead of the TriOS RAMSES.…”