Abstract
The study on relationship between stacked wheat leaves chlorophyll concentration and hyperspectral reflectance is an important technical approach to develop spectral inverse array of leaf chlorophyll concentration from labrotry leaf level to field canopy level.This paper studied the response characteristics of 350~2 500 nm reflectance spectra and 4 common vegetation indices on foliar chlorophyll concentration based on single layer and stacked multi-layers wheat leaves.The results showed that leaf spectral reflectance at the green reflecting peak region around 550 nm and red region around 705 nm had the best relation with chlorophyll concentration.Red position showed blue-shift with the increase of chlorophyll concentration.The effect of commonly used vegetation index NDVI was not ideal in monitoring leaf chlorophyll concentration in this study.SR705 could not estimate leaf chlorophyll concentration when leaves were stacked in different layers,although which closely related to single leaf chlorophyll concentration.Among four vegetation indices used in this study,TCARI had the best prediction power of chlorophyll concentration to both single layer and multi-layers wheat leaves,and it could be further used to estimate photosynthetic charactristic.
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Claims 6
Claim · model-written summary
Reflectance near 550 and 705 nm best related to chlorophyll concentration.
- Taxon
- wheat
Triticum aestivumt0 - Organ / stage
- leafe0
- Outcome
- chlorophyll concentratione0
- Value
- 550 nm and red region around 705 nme0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“leaf spectral reflectance at the green reflecting peak region around 550 nm and red region around 705 nm had the best relation with chlorophyll concentration.”
t0“Wheat”
Claim · model-written summary
The red position blue-shifted as chlorophyll concentration increased.
- Taxon
- Wheat
Triticum aestivumt0 - Compound
- chlorophylle0
- Outcome
- Red positione0
- Direction
- blue-shifte0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Red position showed blue-shift with the increase of chlorophyll concentration.”
t0“Wheat”
Claim · model-written summary
NDVI performed poorly in monitoring leaf chlorophyll.
- Taxon
- Wheat
Triticum aestivumt0 - Outcome
- monitoring leaf chlorophyll concentratione0
- Value
- not ideale0
- Qualifier
- NDVIe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The effect of commonly used vegetation index NDVI was not ideal in monitoring leaf chlorophyll concentration in this study.”
t0“Wheat”
Claim · model-written summary
SR705 could not estimate chlorophyll concentration in stacked leaves.
- Taxon
- Wheat
Triticum aestivumt0 - Organ / stage
- leavese0
- Outcome
- estimate leaf chlorophyll concentratione0
- Value
- could note0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“SR705 could not estimate leaf chlorophyll concentration when leaves were stacked in different layers”
t0“Wheat”
Claim · model-written summary
SR705 was closely related to chlorophyll concentration in single leaves.
- Taxon
- Wheat
Triticum aestivumt0 - Organ / stage
- single leafe0
- Outcome
- single leaf chlorophyll concentratione0
- Qualifier
- closely relatede0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“although which closely related to single leaf chlorophyll concentration.”
t0“Wheat”
Claim · model-written summary
TCARI had the best chlorophyll prediction power in single and stacked wheat leaves.
- Taxon
- wheat
Triticum aestivume0 - Organ / stage
- leavese0
- Outcome
- prediction power of chlorophyll concentratione0
- Value
- beste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“TCARI had the best prediction power of chlorophyll concentration to both single layer and multi-layers wheat leaves”