Ajou University repository

Analysis of forest loss by Sentinel-1 SAR time series
  • Lee, Jung Hoon ;
  • Sumantyo, Josaphat Tetuko Sri ;
  • Waqar, Mirza Muhammad ;
  • Kim, Jae Hyun
Citations

SCOPUS

0

Citation Export

Publication Year
2020-10-21
Journal
International Conference on ICT Convergence
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, Vol.2020-October, pp.182-184
Keyword
forest fireimage processingloss rateSARSentinel-1SNAP
Mesh Keyword
Application platformsCloud coverDebris flowsForest firesNatural disastersPost processingPre-processingTerrain changes
All Science Classification Codes (ASJC)
Information SystemsComputer Networks and Communications
Abstract
Synthetic Aperture Radar (SAR) has the advantage of operating regardless of the cloud cover or a lack of light. This makes SAR a potential substitution for optical sensors in various ways. SAR images have been effectively used for detecting the various terrain changes, particularly in comparing the terrain before and after natural disasters. In this paper, we compare SAR images to measure the forest loss rate before and after the fire. we analyze the Gangwon-do forest fire which occurred in 2019. SNAP (Sentinels Application Platform) is used in this paper to process Sentinel-1. Pre-processing, post-processing, color manipulation, cropping image was used in the program. Based on the calculated loss rate, we expect that it can be used for other researches such as flood or debris flow. It would be more accurate by using SAR images.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36597
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098960098&origin=inward
DOI
https://doi.org/10.1109/ictc49870.2020.9289607
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Kim, Jae-Hyun Image
Kim, Jae-Hyun김재현
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.