Paper · 2008 · Mailei zuowu xuebao

Spectral Inverse Study of Stacked Leaf Chlorophyll Concentration in Wheat

Weixing Cao

6
claims
11
verbatim quotes
1
citations
2
research areas
—
Not open access

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.

Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 6

Associationobservedoriginal resultmeasured

Claim · model-written summary

Reflectance near 550 and 705 nm best related to chlorophyll concentration.

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.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

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.”

✓ located verbatim in the source · abstract, characters 497–655 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 68–73 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

The red position blue-shifted as chlorophyll concentration increased.

Compound
chlorophylle0
Outcome
Red positione0
Direction
blue-shifte0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Red position showed blue-shift with the increase of chlorophyll concentration.”

✓ located verbatim in the source · abstract, characters 655–733 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 68–73 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

NDVI performed poorly in monitoring leaf chlorophyll.

Outcome
monitoring leaf chlorophyll concentratione0
Value
not ideale0
Qualifier
NDVIe0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The effect of commonly used vegetation index NDVI was not ideal in monitoring leaf chlorophyll concentration in this study.”

✓ located verbatim in the source · abstract, characters 733–856 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 68–73 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

SR705 could not estimate chlorophyll concentration in stacked leaves.

Organ / stage
leavese0
Outcome
estimate leaf chlorophyll concentratione0
Value
could note0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“SR705 could not estimate leaf chlorophyll concentration when leaves were stacked in different layers”

✓ located verbatim in the source · abstract, characters 856–956 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 68–73 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

SR705 was closely related to chlorophyll concentration in single leaves.

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.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“although which closely related to single leaf chlorophyll concentration.”

✓ located verbatim in the source · abstract, characters 957–1029 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 68–73 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

TCARI had the best chlorophyll prediction power in single and stacked wheat leaves.

Organ / stage
leavese0
Outcome
prediction power of chlorophyll concentratione0
Value
beste0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

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

✓ located verbatim in the source · abstract, characters 1078–1193 · show in text ↑