Retrieval of leaf chlorophyll content in field crops using narrow-band indices

Effects of leaf area index and leaf mean tilt angle

Xiaochen C. Zou (Corresponding Author), Rocío Hernández-Clemente, Priit Tammeorg, Clara Lizarazo Torres, Frederick L. Stoddard, Pirjo Mäkelä, Petri Pellikka, Matti Mõttus

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)

Abstract

Reliable estimation of leaf chlorophyll-a and -b content (chl-a + b) at canopy scales is essential for monitoring vegetation productivity, physiological stress, and nutrient availability. To achieve this, narrow-band vegetation indices (VIs) derived from imaging spectroscopy data are commonly used. However, VIs are affected by canopy structures other than chl-a + b, such as leaf area index (LAI) and leaf mean tilt angle (MTA). In this study, we evaluated the performance of 58 VIs reported in the literature to be chl-a + b-sensitive against a unique measured set of species-specific leaf angles for six crop species in southern Finland. We created a large simulated canopy reflectance database (100,000 canopy configurations) using the physically based PROSAIL (coupling of PROSPECT and SAIL (Scattering by Arbitrarily Inclined Leaves) radiative transfer models) model. The performance of model-simulated indices was compared against airborne AISA Eagle II imaging spectroradiometer data and field-measured chl-a + b, LAI, and MTA values. In general, LAI had a positive effect on the strength of the correlation between chl-a + b and VIs while MTA had a negative effect in both measured and simulated data. Three indices (REIP (red edge inflection point), TCARI (transformed chlorophyll absorption ratio index)/OSAVI (optimized soil-adjusted vegetation index), and CTR6 (Carter indices)) showed strong correlations with chl-a + b and similar performance in model-simulated and measured data set. However, only two (TCARI/OSAVI and CTR6) were independent from LAI and MTA. We consider these two indices robust proxies of crop leaf chl-a + b.
Original languageEnglish
Pages (from-to)6031-6055
JournalInternational Journal of Remote Sensing
Volume36
Issue number24
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

Fingerprint

tilt
leaf area index
vegetation index
chlorophyll
crop
canopy
canopy reflectance
nutrient availability
radiative transfer
index
effect
chlorophyll a
spectroscopy
scattering
productivity
vegetation
monitoring
soil

Cite this

Zou, Xiaochen C. ; Hernández-Clemente, Rocío ; Tammeorg, Priit ; Torres, Clara Lizarazo ; Stoddard, Frederick L. ; Mäkelä, Pirjo ; Pellikka, Petri ; Mõttus, Matti. / Retrieval of leaf chlorophyll content in field crops using narrow-band indices : Effects of leaf area index and leaf mean tilt angle. In: International Journal of Remote Sensing. 2015 ; Vol. 36, No. 24. pp. 6031-6055.
@article{5d09e9fcbf194ffeae5212f7a8e13dd6,
title = "Retrieval of leaf chlorophyll content in field crops using narrow-band indices: Effects of leaf area index and leaf mean tilt angle",
abstract = "Reliable estimation of leaf chlorophyll-a and -b content (chl-a + b) at canopy scales is essential for monitoring vegetation productivity, physiological stress, and nutrient availability. To achieve this, narrow-band vegetation indices (VIs) derived from imaging spectroscopy data are commonly used. However, VIs are affected by canopy structures other than chl-a + b, such as leaf area index (LAI) and leaf mean tilt angle (MTA). In this study, we evaluated the performance of 58 VIs reported in the literature to be chl-a + b-sensitive against a unique measured set of species-specific leaf angles for six crop species in southern Finland. We created a large simulated canopy reflectance database (100,000 canopy configurations) using the physically based PROSAIL (coupling of PROSPECT and SAIL (Scattering by Arbitrarily Inclined Leaves) radiative transfer models) model. The performance of model-simulated indices was compared against airborne AISA Eagle II imaging spectroradiometer data and field-measured chl-a + b, LAI, and MTA values. In general, LAI had a positive effect on the strength of the correlation between chl-a + b and VIs while MTA had a negative effect in both measured and simulated data. Three indices (REIP (red edge inflection point), TCARI (transformed chlorophyll absorption ratio index)/OSAVI (optimized soil-adjusted vegetation index), and CTR6 (Carter indices)) showed strong correlations with chl-a + b and similar performance in model-simulated and measured data set. However, only two (TCARI/OSAVI and CTR6) were independent from LAI and MTA. We consider these two indices robust proxies of crop leaf chl-a + b.",
author = "Zou, {Xiaochen C.} and Roc{\'i}o Hern{\'a}ndez-Clemente and Priit Tammeorg and Torres, {Clara Lizarazo} and Stoddard, {Frederick L.} and Pirjo M{\"a}kel{\"a} and Petri Pellikka and Matti M{\~o}ttus",
year = "2015",
doi = "10.1080/01431161.2015.1110262",
language = "English",
volume = "36",
pages = "6031--6055",
journal = "International Journal of Remote Sensing",
issn = "0143-1161",
publisher = "Taylor & Francis",
number = "24",

}

Retrieval of leaf chlorophyll content in field crops using narrow-band indices : Effects of leaf area index and leaf mean tilt angle. / Zou, Xiaochen C. (Corresponding Author); Hernández-Clemente, Rocío; Tammeorg, Priit; Torres, Clara Lizarazo; Stoddard, Frederick L.; Mäkelä, Pirjo; Pellikka, Petri; Mõttus, Matti.

In: International Journal of Remote Sensing, Vol. 36, No. 24, 2015, p. 6031-6055.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Retrieval of leaf chlorophyll content in field crops using narrow-band indices

T2 - Effects of leaf area index and leaf mean tilt angle

AU - Zou, Xiaochen C.

AU - Hernández-Clemente, Rocío

AU - Tammeorg, Priit

AU - Torres, Clara Lizarazo

AU - Stoddard, Frederick L.

AU - Mäkelä, Pirjo

AU - Pellikka, Petri

AU - Mõttus, Matti

PY - 2015

Y1 - 2015

N2 - Reliable estimation of leaf chlorophyll-a and -b content (chl-a + b) at canopy scales is essential for monitoring vegetation productivity, physiological stress, and nutrient availability. To achieve this, narrow-band vegetation indices (VIs) derived from imaging spectroscopy data are commonly used. However, VIs are affected by canopy structures other than chl-a + b, such as leaf area index (LAI) and leaf mean tilt angle (MTA). In this study, we evaluated the performance of 58 VIs reported in the literature to be chl-a + b-sensitive against a unique measured set of species-specific leaf angles for six crop species in southern Finland. We created a large simulated canopy reflectance database (100,000 canopy configurations) using the physically based PROSAIL (coupling of PROSPECT and SAIL (Scattering by Arbitrarily Inclined Leaves) radiative transfer models) model. The performance of model-simulated indices was compared against airborne AISA Eagle II imaging spectroradiometer data and field-measured chl-a + b, LAI, and MTA values. In general, LAI had a positive effect on the strength of the correlation between chl-a + b and VIs while MTA had a negative effect in both measured and simulated data. Three indices (REIP (red edge inflection point), TCARI (transformed chlorophyll absorption ratio index)/OSAVI (optimized soil-adjusted vegetation index), and CTR6 (Carter indices)) showed strong correlations with chl-a + b and similar performance in model-simulated and measured data set. However, only two (TCARI/OSAVI and CTR6) were independent from LAI and MTA. We consider these two indices robust proxies of crop leaf chl-a + b.

AB - Reliable estimation of leaf chlorophyll-a and -b content (chl-a + b) at canopy scales is essential for monitoring vegetation productivity, physiological stress, and nutrient availability. To achieve this, narrow-band vegetation indices (VIs) derived from imaging spectroscopy data are commonly used. However, VIs are affected by canopy structures other than chl-a + b, such as leaf area index (LAI) and leaf mean tilt angle (MTA). In this study, we evaluated the performance of 58 VIs reported in the literature to be chl-a + b-sensitive against a unique measured set of species-specific leaf angles for six crop species in southern Finland. We created a large simulated canopy reflectance database (100,000 canopy configurations) using the physically based PROSAIL (coupling of PROSPECT and SAIL (Scattering by Arbitrarily Inclined Leaves) radiative transfer models) model. The performance of model-simulated indices was compared against airborne AISA Eagle II imaging spectroradiometer data and field-measured chl-a + b, LAI, and MTA values. In general, LAI had a positive effect on the strength of the correlation between chl-a + b and VIs while MTA had a negative effect in both measured and simulated data. Three indices (REIP (red edge inflection point), TCARI (transformed chlorophyll absorption ratio index)/OSAVI (optimized soil-adjusted vegetation index), and CTR6 (Carter indices)) showed strong correlations with chl-a + b and similar performance in model-simulated and measured data set. However, only two (TCARI/OSAVI and CTR6) were independent from LAI and MTA. We consider these two indices robust proxies of crop leaf chl-a + b.

UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000365867200003&KeyUID=WOS:000365867200003

U2 - 10.1080/01431161.2015.1110262

DO - 10.1080/01431161.2015.1110262

M3 - Article

VL - 36

SP - 6031

EP - 6055

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 24

ER -