• Journal of Digital Convergence
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• v.19 no.8
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• pp.11-20
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• 2021

Due to the Covid-19 Pandemic, the world is facing the most serious crisis since the Great Depression, and is facing a new paradigm of the Untact era. Korea has also announced various policies and legal systems, including the 'Korean version of the New Deal', but it is conflicting between the use of information and the protection of information. In this paper, we derive thresholds by analyzing policies, statutes and technologies in the public cloud. Based on this, we propose to introduce the "Building a Nationwide Public Virtual Machine" as a key task to secure the next-generation national growth engine so that all citizens can use digital services in a secure and reliable environment with equal access to information. Through this, all citizens can use various digital new technology services only with low-priced and low-specification terminals, and by establishing a dedicated center for information protection, we want to respond to rapidly increasing security threats. It also points out that the domestic cloud-related legal system only emphasizes the use of information while overlooking the importance of security, and suggests the right direction for the legal system to move forward.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.449-461
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• 2021

Analysis Ready Data (ARD) for optical satellite images represents a pre-processed product by applying spectral characteristics and viewing parameters for each sensor. The atmospheric correction is one of the fundamental and complicated topics, which helps to produce Top-of-Atmosphere (TOA) and Top-of-Canopy (TOC) reflectance from multi-spectral image sets. Most remote sensing software provides algorithms or processing schemes dedicated to those corrections of the Landsat-8 OLI sensors. Furthermore, Google Earth Engine (GEE), provides direct access to Landsat reflectance products, USGS-based ARD (USGS-ARD), on the cloud environment. We implemented the Orfeo ToolBox (OTB) atmospheric correction extension, an open-source remote sensing software for manipulating and analyzing high-resolution satellite images. This is the first tool because OTB has not provided calibration modules for any Landsat sensors. Using this extension software, we conducted the absolute atmospheric correction on the Landsat-8 OLI images of Railroad Valley, United States (RVUS) to validate their reflectance products using reflectance data sets of RVUS in the RadCalNet portal. The results showed that the reflectance products using the OTB extension for Landsat revealed a difference by less than 5% compared to RadCalNet RVUS data. In addition, we performed a comparative analysis with reflectance products obtained from other open-source tools such as a QGIS semi-automatic classification plugin and SAGA, besides USGS-ARD products. The reflectance products by the OTB extension showed a high consistency to those of USGS-ARD within the acceptable level in the measurement data range of the RadCalNet RVUS, compared to those of the other two open-source tools. In this study, the verification of the atmospheric calibration processor in OTB extension was carried out, and it proved the application possibility for other satellite sensors in the Compact Advanced Satellite (CAS)-500 or new optical satellites.