Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model

Hong Wang; Runhe Shi; Pudong Liu; Mingliang Ma; Wei Gao

doi:10.1117/12.2061281

Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model

Hong Wang, Runhe Shi, Pudong Liu, Mingliang Ma, Wei Gao

School of Geographic Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Remote sensing is an effective tool to estimate foliar pigments contents with the analysis of vegetation index. The crucial issue is how to choose the optimal bands-combination to conduct the vegetation index. In this study, RVI, a vegetation index computed by the reflectance of Red and NIR bands, has been used to estimate the contents of chlorophyll and carotenoid. The reflectance of the two bands forming the narrow band RVI was simulated by the PROSPECT model. The possible combinations of narrow band RVI were examined from 400 nm to 800 nm. The results showed that: At the leaf level, estimation of chlorophyll content can be identified in narrow band RVI. Ranges for these bands included: (1) 549-589nm, 616-636nm or 729-735nm combined with 434-454nm; (2) 663-688nm, 710-717nm, 719-728nm or 730- 739nm combined with 549-561nm; (3) 663-688nm combined with 569-615nm. However, no valid narrow-band RVI for the estimation of carotenoid content was successfully identified. Our results also showed that two rules should be followed when choosing optimal bands-combination: (1) the selected bands must have minimal interference from other biochemical constituents; (2) there should be distinct differences between the sensitivities of the bands selected for particular pigments.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability XI
Editors	Jinnian Wang, Ni-Bin Chang, Wei Gao
Publisher	SPIE
ISBN (Electronic)	9781628412482
DOIs	https://doi.org/10.1117/12.2061281
State	Published - 2014
Event	Remote Sensing and Modeling of Ecosystems for Sustainability XI - San Diego, United States Duration: 18 Aug 2014 → 20 Aug 2014

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9221
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability XI
Country/Territory	United States
City	San Diego
Period	18/08/14 → 20/08/14

Keywords

Carotenoid
Chlorophyll
Narrow band ratio vegetation index
PROSPECT model

Access to Document

10.1117/12.2061281

Cite this

Wang, H., Shi, R., Liu, P., Ma, M., & Gao, W. (2014). Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model. In J. Wang, N.-B. Chang, & W. Gao (Eds.), Remote Sensing and Modeling of Ecosystems for Sustainability XI Article 922110 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9221). SPIE. https://doi.org/10.1117/12.2061281

@inproceedings{45966103f1664ac4ae47bddff65f3394,

title = "Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model",

abstract = "Remote sensing is an effective tool to estimate foliar pigments contents with the analysis of vegetation index. The crucial issue is how to choose the optimal bands-combination to conduct the vegetation index. In this study, RVI, a vegetation index computed by the reflectance of Red and NIR bands, has been used to estimate the contents of chlorophyll and carotenoid. The reflectance of the two bands forming the narrow band RVI was simulated by the PROSPECT model. The possible combinations of narrow band RVI were examined from 400 nm to 800 nm. The results showed that: At the leaf level, estimation of chlorophyll content can be identified in narrow band RVI. Ranges for these bands included: (1) 549-589nm, 616-636nm or 729-735nm combined with 434-454nm; (2) 663-688nm, 710-717nm, 719-728nm or 730- 739nm combined with 549-561nm; (3) 663-688nm combined with 569-615nm. However, no valid narrow-band RVI for the estimation of carotenoid content was successfully identified. Our results also showed that two rules should be followed when choosing optimal bands-combination: (1) the selected bands must have minimal interference from other biochemical constituents; (2) there should be distinct differences between the sensitivities of the bands selected for particular pigments.",

keywords = "Carotenoid, Chlorophyll, Narrow band ratio vegetation index, PROSPECT model",

author = "Hong Wang and Runhe Shi and Pudong Liu and Mingliang Ma and Wei Gao",

note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Remote Sensing and Modeling of Ecosystems for Sustainability XI ; Conference date: 18-08-2014 Through 20-08-2014",

year = "2014",

doi = "10.1117/12.2061281",

language = "英语",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Jinnian Wang and Ni-Bin Chang and Wei Gao",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability XI",

address = "美国",

}

Wang, H, Shi, R, Liu, P, Ma, M & Gao, W 2014, Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model. in J Wang, N-B Chang & W Gao (eds), Remote Sensing and Modeling of Ecosystems for Sustainability XI., 922110, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9221, SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability XI, San Diego, United States, 18/08/14. https://doi.org/10.1117/12.2061281

Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model. / Wang, Hong; Shi, Runhe; Liu, Pudong et al.
Remote Sensing and Modeling of Ecosystems for Sustainability XI. ed. / Jinnian Wang; Ni-Bin Chang; Wei Gao. SPIE, 2014. 922110 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9221).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model

AU - Wang, Hong

AU - Shi, Runhe

AU - Liu, Pudong

AU - Ma, Mingliang

AU - Gao, Wei

PY - 2014

Y1 - 2014

N2 - Remote sensing is an effective tool to estimate foliar pigments contents with the analysis of vegetation index. The crucial issue is how to choose the optimal bands-combination to conduct the vegetation index. In this study, RVI, a vegetation index computed by the reflectance of Red and NIR bands, has been used to estimate the contents of chlorophyll and carotenoid. The reflectance of the two bands forming the narrow band RVI was simulated by the PROSPECT model. The possible combinations of narrow band RVI were examined from 400 nm to 800 nm. The results showed that: At the leaf level, estimation of chlorophyll content can be identified in narrow band RVI. Ranges for these bands included: (1) 549-589nm, 616-636nm or 729-735nm combined with 434-454nm; (2) 663-688nm, 710-717nm, 719-728nm or 730- 739nm combined with 549-561nm; (3) 663-688nm combined with 569-615nm. However, no valid narrow-band RVI for the estimation of carotenoid content was successfully identified. Our results also showed that two rules should be followed when choosing optimal bands-combination: (1) the selected bands must have minimal interference from other biochemical constituents; (2) there should be distinct differences between the sensitivities of the bands selected for particular pigments.

AB - Remote sensing is an effective tool to estimate foliar pigments contents with the analysis of vegetation index. The crucial issue is how to choose the optimal bands-combination to conduct the vegetation index. In this study, RVI, a vegetation index computed by the reflectance of Red and NIR bands, has been used to estimate the contents of chlorophyll and carotenoid. The reflectance of the two bands forming the narrow band RVI was simulated by the PROSPECT model. The possible combinations of narrow band RVI were examined from 400 nm to 800 nm. The results showed that: At the leaf level, estimation of chlorophyll content can be identified in narrow band RVI. Ranges for these bands included: (1) 549-589nm, 616-636nm or 729-735nm combined with 434-454nm; (2) 663-688nm, 710-717nm, 719-728nm or 730- 739nm combined with 549-561nm; (3) 663-688nm combined with 569-615nm. However, no valid narrow-band RVI for the estimation of carotenoid content was successfully identified. Our results also showed that two rules should be followed when choosing optimal bands-combination: (1) the selected bands must have minimal interference from other biochemical constituents; (2) there should be distinct differences between the sensitivities of the bands selected for particular pigments.

KW - Carotenoid

KW - Chlorophyll

KW - Narrow band ratio vegetation index

KW - PROSPECT model

UR - https://www.scopus.com/pages/publications/84922734201

U2 - 10.1117/12.2061281

DO - 10.1117/12.2061281

M3 - 会议稿件

AN - SCOPUS:84922734201

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability XI

A2 - Wang, Jinnian

A2 - Chang, Ni-Bin

A2 - Gao, Wei

PB - SPIE

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability XI

Y2 - 18 August 2014 through 20 August 2014

ER -

Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this