Effect of chlorophyll concentration under different water situation and estimation model for Pinuse lliottii Engelm with hyperspectral data

Wenmin Li; Shuxia Li

doi:10.1117/12.2309322

14 May 2018 Effect of chlorophyll concentration under different water situation and estimation model for Pinuse lliottii Engelm with hyperspectral data

Wenmin Li, Shuxia Li

Author Affiliations +

Proceedings Volume 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics; 1065802 (2018) https://doi.org/10.1117/12.2309322
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

Three treatments (normal soil water condition, CK; continual submergence condition, T1; and submergence and drought alternation condition, T2) are adopted. The reflectance spectra of Pinuse lliottii Engelm leaves, the red edge parameters and the corresponding chlorophyll content are measured, and the relationship between the red edge parameters and total chlorophyll concentration are analyzed. The results show that: (1) There are “blue shift” phenomena before 24d and “red shift” after 24d for the position of λ_red (Red edge position). The opposite phenomenon occurs for Dλ_red (Red edge amplitude). The S_red (Red edge area) appear “blue shift” for the case T1 and T2. (2)There is extremely significant correlation between chlorophyll content and red edge position, and there is significant correlation between chlorophyll content and red edge area, but the correlation between chlorophyll content and red edge amplitude is poor. The correlation coefficient between chlorophyll content and red edge position is 0.762. (3)The red edge position, kurtosis and skewness, which are computed by spectral curve at range 680-760nm of Pinuse lliottii Engelmare considered the input variables for artificial neural networks. The correlation coefficient is 0.928, and it obviously improves the accuracy of the estimation of the total chlorophyll concentration.

Conference Presentation

Citation Download Citation

Wenmin Li and Shuxia Li "Effect of chlorophyll concentration under different water situation and estimation model for Pinuse lliottii Engelm with hyperspectral data", Proc. SPIE 10658, Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, 1065802 (14 May 2018); https://doi.org/10.1117/12.2309322

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