Remote sensing-assisted disaster monitoring and risk analysis

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

Research output: Contribution to journalReview articlepeer-review

Abstract

Recently, natural and anthropogenic disasters have rapidly increased due to the on-going climate change and various human activities. Remote sensing (RS) technology enables the continuous monitoring and rapid detection of disastrous events thanks to its advantages covering vast areas at high temporal resolution. Moreover, RS technology has been very actively used in disaster monitoring and assessment since cluster- and micro-satellites and drones were introduced and became popular. In this special issue, nine papers were introduced, including the processing and applications of remote sensing data for monitoring, assessment, and prediction of various natural disasters. These papers are expected to serve as useful references for disaster management in the future.

Original languageEnglish
Pages (from-to)1007-1011
Number of pages5
JournalKorean Journal of Remote Sensing
Volume36
Issue number5
DOIs
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 Korean Journal of Remote Sensing.

All Science Journal Classification (ASJC) codes

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

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