원격탐사와 GIS를 이용한 재난 예측, 감시 및 대응

Translated title of the contribution: Disaster Prediction, Monitoring, and Response Using Remote Sensing and GIS

Junwoo Kim, Duk Jin Kim, Hong Gyoo Sohn, Jinmu Choi, Jungho Im

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

Abstract

As remote sensing and GIS have been considered to be essential technologies for disasters information production, researches on developing methods for analyzing spatial data, and developing new technologies for such purposes, have been actively conducted. Especially, it is assumed that the use of remote sensing and GIS for disaster management will continue to develop thanks to the launch of recent satellite constellations, the use of various remote sensing platforms, the improvement of acquired data processing and storage capacity, and the advancement of artificial intelligence technology. This spatial issue presents 10 research papers regarding ship detection, building information extraction, ocean environment monitoring, flood monitoring, forest fire detection, and decision making using remote sensing and GIS technologies, which can be applied at the disaster prediction, monitoring and response stages. It is anticipated that the papers published in this special issue could be a valuable reference for developing technologies for disaster management and academic advancement of related fields.

Translated title of the contributionDisaster Prediction, Monitoring, and Response Using Remote Sensing and GIS
Original languageKorean
Pages (from-to)661-667
Number of pages7
JournalKorean Journal of Remote Sensing
Volume38
Issue number5-2
DOIs
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)

Fingerprint

Dive into the research topics of 'Disaster Prediction, Monitoring, and Response Using Remote Sensing and GIS'. Together they form a unique fingerprint.

Cite this