Using hyperspectral data to detect the responses of masson pine's needle spectral reflectance to acid stress

Xiaodong Song; Hong Jiang; Shuquan Yu; Guomo Zhou

doi:10.1117/12.760773

26 July 2007 Using hyperspectral data to detect the responses of masson pine's needle spectral reflectance to acid stress

Xiaodong Song, Hong Jiang, Shuquan Yu, Guomo Zhou

Author Affiliations +

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 675226 (2007) https://doi.org/10.1117/12.760773
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Acid rain has been a worldwide environmental problem for decades. China is one of the most serious acid deposition polluted regions in the world. How to effectively monitor acid deposition's severity and spatial distribution has constituted a great challenge to the traditionally chemistry methodology used to monitor acid rain. Long-term acid stress will change foliar internal structure and the content of pigments (such as chlorophyll a and b). Generally, such changes of foliar attributes will result increased reflectance in the visible and near-infrared wavelength regions. In this study, field and greenhouse experiments were performed separately to illustrate the influence of both natural and simulated acid rain to the spectra reflectance and chlorophyll content of masson pine (Pinus Massoniana). As measured with a portable spectroradiometer and a portable chlorophyll meter, spectra reflectance was a more sensitive indicator than chlorophyll content to indicate the severity of acid stress. In most of our cases, the reflectance of masson pine (both natural and greenhouse) was increasing with the severity of acid stress in part or in the whole wavelength regions ranged from 400 to 800nm. Vegetation indices computed using simulated Landsat Thematic Mapper (TM) bands showed that light acid stress often caused higher indices' values, and it was suggested that multispectral image data might be used to monitor acid stress from a canopy level.

Citation Download Citation

Xiaodong Song, Hong Jiang, Shuquan Yu, and Guomo Zhou "Using hyperspectral data to detect the responses of masson pine's needle spectral reflectance to acid stress", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675226 (26 July 2007); https://doi.org/10.1117/12.760773

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