Application of CASI Hyperspectral Image to Analysis of the Distribution of Hydrogen-Fluoride-Damaged Vegetation in Gumi, Korea

Hangnan Yu, Jong Yeol Lee, Woo-Kyun Lee, Guishan Cui, Jung Kil Cho, Gwangjae Wei, Lan Li

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

On the night of 27th Sept 2012, a hydrogen fluoride (HF) storage tank exploded in the industrial area of Gumi, Korea. In this study, an attempt was made to detect the damaged vegetation using a hyperspectral image. Assuming that HF was the most significant stressor of vegetation near the blast site, our results indicated that the difference in reflectance values between the 786 and 801 nm wavelengths became negative (−) and fluctuated from −5 to −160 in the affected vegetation. On the other hand, positive (+) values were found in the non-affected vegetation. The combination of normalized difference vegetation index (NDVI) and simple ratio (SR) was used [named combined vegetation index (CVI) in this study] to assess the accuracy of these measurements. Among 150,965 pixels that were defined as damaged vegetation, about 2.8 % were analyzed incorrectly in this study. As a result, factors such as wind direction, distance from the accident spot, elevation, and aspect were shown to affect damage distribution.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalJournal of the Indian Society of Remote Sensing
DOIs
Publication statusAccepted/In press - 2016 Jun 10

Fingerprint

Compact Airborne Spectrographic Imager
fluoride
Korea
hydrogen
vegetation
Values
accident
damages
storage tank
vegetation index
NDVI
wind direction
reflectance
pixel
analysis
distribution
wavelength
damage

Keywords

  • Combined vegetation index
  • Hydrogen fluoride
  • Hyperspectral
  • Remote sensing
  • Vegetation

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Geography, Planning and Development

Cite this

Application of CASI Hyperspectral Image to Analysis of the Distribution of Hydrogen-Fluoride-Damaged Vegetation in Gumi, Korea. / Yu, Hangnan; Lee, Jong Yeol; Lee, Woo-Kyun; Cui, Guishan; Cho, Jung Kil; Wei, Gwangjae; Li, Lan.

In: Journal of the Indian Society of Remote Sensing, 10.06.2016, p. 1-10.

Research output: Contribution to journalArticle

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