A new vegetation index combination for leaf carotenoid-to-chlorophyll ratio: minimizing the effect of their correlation
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
A new vegetation index combination for leaf carotenoid-to-chlorophyll ratio : minimizing the effect of their correlation. / He, Chunmei; Sun, Jia; Chen, Yuwen; Wang, Lunche; Shi, Shuo; Qiu, Feng; Wang, Shaoqiang; Tagesson, Torbern.
In: International Journal of Digital Earth, Vol. 16, No. 1, 2023, p. 272-288.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - A new vegetation index combination for leaf carotenoid-to-chlorophyll ratio
T2 - minimizing the effect of their correlation
AU - He, Chunmei
AU - Sun, Jia
AU - Chen, Yuwen
AU - Wang, Lunche
AU - Shi, Shuo
AU - Qiu, Feng
AU - Wang, Shaoqiang
AU - Tagesson, Torbern
N1 - Publisher Copyright: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023
Y1 - 2023
N2 - The ratio of leaf carotenoid to chlorophyll (Car/Chl) is an indicator of vegetation photosynthesis, development and responses to stress. However, the correlation between Car and Chl, and their overlapping absorption in the visible spectral domain pose a challenge for optical remote sensing of their ratio. This study aims to investigate combinations of vegetation indices (VIs) to minimize the influence of Car-Chl correlation, thus being more sensitive to the variability in the ratio across vegetation species and sites. VIs sensitive to Car and Chl variability were combined into four candidates of combinations, using a simulated dataset from the PROSPECT model. The VI combinations were then tested using six simulated datasets with different Car-Chl correlations, and evaluated against four independent datasets. The ratio of the carotenoid triangle ratio index (CTRI) with the red-edge chlorophyll index (CIred-edge) was found least influenced by the Car-Chl correlation and demonstrated a superior ability for estimating Car/Chl variability. Compared with published VIs and two machine learning algorithms, CTRI/CIred-edge also showed the optimal performance in the four field datasets. This new VI combination could be useful to provide insights in spatiotemporal variability in the leaf Car/Chl ratio, applicable for assessing vegetation physiology, phenology, and response to environmental stress. Trial registration:Clinical Trials Registry India identifier: CTRI/.
AB - The ratio of leaf carotenoid to chlorophyll (Car/Chl) is an indicator of vegetation photosynthesis, development and responses to stress. However, the correlation between Car and Chl, and their overlapping absorption in the visible spectral domain pose a challenge for optical remote sensing of their ratio. This study aims to investigate combinations of vegetation indices (VIs) to minimize the influence of Car-Chl correlation, thus being more sensitive to the variability in the ratio across vegetation species and sites. VIs sensitive to Car and Chl variability were combined into four candidates of combinations, using a simulated dataset from the PROSPECT model. The VI combinations were then tested using six simulated datasets with different Car-Chl correlations, and evaluated against four independent datasets. The ratio of the carotenoid triangle ratio index (CTRI) with the red-edge chlorophyll index (CIred-edge) was found least influenced by the Car-Chl correlation and demonstrated a superior ability for estimating Car/Chl variability. Compared with published VIs and two machine learning algorithms, CTRI/CIred-edge also showed the optimal performance in the four field datasets. This new VI combination could be useful to provide insights in spatiotemporal variability in the leaf Car/Chl ratio, applicable for assessing vegetation physiology, phenology, and response to environmental stress. Trial registration:Clinical Trials Registry India identifier: CTRI/.
KW - Leaf carotenoids content
KW - leaf chlorophyll content
KW - PROSPECT model
KW - ratio of Car to Chl
KW - vegetation index
U2 - 10.1080/17538947.2023.2168772
DO - 10.1080/17538947.2023.2168772
M3 - Journal article
AN - SCOPUS:85148543337
VL - 16
SP - 272
EP - 288
JO - International Journal of Digital Earth
JF - International Journal of Digital Earth
SN - 1753-8947
IS - 1
ER -
ID: 340770652