Study on leaf reflectance and red edge characteristics of Chinese fir (Cunninghamia lanceolata) caused by acid rain with hyperspectral remote sensing

Xiaozan Xie; Hong Jiang; Shuquan Yu

doi:10.1117/12.832770

30 October 2009 (Cunninghamia lanceolata) caused by acid rain with hyperspectral remote sensing

Xiaozan Xie, Hong Jiang, Shuquan Yu

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74980Q (2009) https://doi.org/10.1117/12.832770
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The purpose of this study is using hyperspectral data to detect the reflectance differences of Chinese fir (Cunninghamia lanceolata) which are sensitive to acidic stress and have been under different degrees of acid deposition stress for a long time. The hyperspectral reflectance for Chinese fir leaf is measured by Fieldspec Pro FR under three simulated acid rain levels (pH2.5, 4.0 and 5.6) during three years in order to monitor the response of leaf. The results indicated: (1) chlorophyll concentration of Chinese fir increased with the increasing of the simulated rain acidity in the late experimental period; (2) the 1st derivative values increased at the green edge (480-540nm) and red edge (680-760nm) with pH increasing; (3) the RVI550 and GNDVI values did differ significantly at pH2.5 and 5.6 treatment; (4) red edge position was found moving to longer wave bands with increasing rain acidity along with the experimental time; (5) there are significant differences vale at blue 510nm and 690nm wavelength between different treatments that can be used to be an useful parameters to distinguish the severity of acid deposition. The research also indicated that the hyperspectral parameters can be used to monitor the acid rain stress on trees.

Citation Download Citation

Xiaozan Xie, Hong Jiang, and Shuquan Yu "(Cunninghamia lanceolata) caused by acid rain with hyperspectral remote sensing", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980Q (30 October 2009); https://doi.org/10.1117/12.832770

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available