Web-based Disaster Operating Picture to Support Decision-making

Youngmok Kwon, Yoonjo Choi, Hyuk Jung, Juil Song, Hong Gyoo Sohn

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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 decisionmaking 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 decisionmaking 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.

Original languageEnglish
Pages (from-to)725-735
Number of pages11
JournalKorean Journal of Remote Sensing
Issue number5-2
Publication statusPublished - 2022 Oct

Bibliographical note

Publisher Copyright:
© 2022 Korean Society of Remote Sensing. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)


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