Related Articles

  • ArticleOctober 31, 2022

    0 73 4

    Web-based Disaster Operating Picture to Support Decision-making

    Youngmok Kwon 1)·Yoonjo Choi2)·Hyuk Jung3)·Juil Song4)·Hong-Gyoo Sohn 5)†

    Korean Journal of Remote Sensing 2022; 38(5): 725-735

    https://doi.org/10.7780/kjrs.2022.38.5.2.6

    Abstract
    Currently, disasters occurring in Korea are characterized by unpredictability and complexity. Due to these features, property damage and human casualties are increasing. Since the initial response process of these disasters is directly related to the scale and the spread of damage, optimal decision- making is essential, and information of the site must be obtained through timely applicable sensors. However, it is difficult to make appropriate decisions because indiscriminate information is collected rather than necessary information in the currently operated Disaster and Safety Situation Office. In order to improve the current situation, this study proposed a framework that quickly collects various disaster image information, extracts information required to support decision-making, and utilizes it. To this end, a web-based display system and a smartphone application were proposed. Data were collected close to real time, and various analysis results were shared. Moreover, the capability of supporting decision- making was reviewed based on images of actual disaster sites acquired through CCTV, smartphones, and UAVs. In addition to the reviewed capability, it is expected that effective disaster management can be contributed if institutional mitigation of the acquisition and sharing of disaster-related data can be achieved together.
  • October 31, 2023

    0 18 73

    Environmental Monitoring and Forecasting Using Advanced Remote Sensing Approaches

    박선영 1)·송아람 2)·이양원 3)·임정호 4)*

    Korean Journal of Remote Sensing 2023; 39(5): 885-890

    https://doi.org/10.7780/kjrs.2023.39.5.3.1

    Abstract
    As satellite technology progresses, a growing number of satellites—like CubeSat and radar satellites—are available with a higher spectral and spatial resolutions than previous. National initiatives used to be the main force behind satellite development, but current trends indicate that private enterprises are also actively exploring and developing new satellite technologies. This special issue examines the recent research results and advanced technology in remote sensing approaches for Earth environment analysis. These results provide important information for the development of satellite sensors in the future and are of great interest to researchers working with artificial intelligence in this field. The special issue introduces the latest advances in remote sensing technology and highlights studies that make use of data to monitor and forecast Earth’s environment. The objective is to provide direction for the future of remote sensing research.
  • ReviewOctober 31, 2024

    0 1162 63

    National Disaster Management and Monitoring Using Satellite Remote Sensing and Geo-Information

    Jongsoo Park , Hagyu Jeong , Junwoo Lee

    Korean Journal of Remote Sensing 2024; 40(5): 813-832

    https://doi.org/10.7780/kjrs.2024.40.5.2.9

    Abstract
    As disasters become more diverse and widespread, disaster management at the national level is increasingly important. Since satellite remote sensing technology is capable of observing a wide range of areas on a regular basis, it can be effectively utilized to monitor a massive scale of disaster conditions and preemptively respond to urgent disasters. Disasters that can be managed through satellite remote sensing technology include forest fires, drought, floods, landslides, and earthquakes. This study introduces a variety of studies using satellite remote sensing and Geographic Information System (GIS) as well as a number of actual cases utilizing the above. However, with the satellites currently in operation, there are difficulties in detecting and analyzing the disasters above due to the limitations on spatial and temporal resolutions. Recently, new measures have been developed to overcome such limitations through the development and constellation operation of microsatellites. In addition, new technologies are under development where a massive quantity of satellite images is analyzed by Artificial Intelligence (AI) technology. It is expected that temporal and spatial limitations can be addressed through satellite-developed and constellation systems in the future, which would lead to scientific disaster management through grafting with AI technology.
KSRS
December 2024 Vol. 40, No. 6, pp. 881-1521

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