Effects of gaseous pollutants on forests in Eastern North America

Linzon, S. N.

doi:10.1007/bf00284211

Cited by 14 publications

(1 citation statement)

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“…In September 27, 2012, about 8 tons of the hydrogen fluoride was leaked from a chemical factory in Gumi, South Korea, and this leakage caused visible injuries such as chlorosis and necrosis on leaves of trees and crops, which have been well known as typical symptoms of leaves affected from hydrogen fluoride (Linzon, 1986, Ahmad et al, 2012.…”

Section: Introductionmentioning

confidence: 99%

Assessment of hydrogen fluoride damage to vegetation using optical remote sensing data

Hyun¹,

Lee²,

Lee³

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This research assesses damage to vegetation from accidental gaseous hydrogen fluoride leakage, through the analysis of spectral features of the damaged plants using digital aerial photographs and airborne hyperspectral imagery. The hyperspectral imagery was obtained 21 days after the leakage within visible and near-infrared wavelength range using CASI-1500 imager, and two aerial photographs composed of blue, green, red and near-infrared bands were also obtained in October 2, 2011 and November 15, 2012, respectively. The injuries on leaves and the outline of the leakage affected area were assessed by investigating vegetation index images calculated from the hyperspectral imagery and the aerial photograph obtained in November 15, 2012, with comparison to the index image calculated from the aerial photograph obtained in October 12, 2011. The affected areas were mainly distributed in the east of the leakage point, and this reflects predominant wind directions toward east during the leakage and within 24 hours after the leakage. In addition, the detailed changes in spectral reflectance curves of damaged vegetation were also investigated using the hyperspectral imagery. Paddy field and forest land were identified by cadastral map, and the reference areas for the comparison of the reflectance curve change were designated to each land cover type, by considering the most and least affected areas from the vegetation indices comparison results.

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Section: Introductionmentioning

confidence: 99%