Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model

Moses Azong Cho; Abel Ramoelo; A.K. Skidmore

doi:10.1109/IGARSS.2014.6947556

Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model

Moses Azong Cho, Abel Ramoelo, A.K. Skidmore

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

2 Citations (Scopus)

Abstract

The performance of PROSPECT-5 radiative transfer model for predicting leaf chlorophyll from reflectance measurements made with the Analytical Spectral Device (ASD) spectrometer was investigated using numerical inversion techniques. The reflectance data of various spectral regions in the visible to shortwave infrared (SWIR) were assessed i.e. the full range (400-2500 nm), VNIR (400-1060 nm), visible (400-700 nm), red (600-700 nm), red-red edge (600-760 nm) and red-edge (670-760 nm). Among the spectral regions, the red-edge region yielded the lowest root mean square error of prediction (RMSEP =10.3 μg/cm²) for a variety of plants including crops and wild plants (n = 463). It is therefore recommended that inversion of radiative transfer models to retrieve leaf chlorophyll content be limited to the red-edge region.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Subtitle of host publication	13-18 July 2014, Quebec City, QC, Canada
Publisher	IEEE
Pages	4754-4757
Number of pages	4
ISBN (Electronic)	9781479957750
DOIs	https://doi.org/10.1109/IGARSS.2014.6947556
Publication status	Published - 1 Jan 2014
Event	Joint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS): Energy and our Changing Planet - Quebec City Convention Centre, Quebec, Canada Duration: 13 Jul 2014 → 18 Jul 2014

Conference

Conference	Joint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS)
Abbreviated title	IGARSS 2014
Country/Territory	Canada
City	Quebec
Period	13/07/14 → 18/07/14

Keywords

Analytical Spectral Device (ASD)
leaf chlorophyll
PROSPECT-5
Radiative transfer model

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10.1109/IGARSS.2014.6947556

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title = "Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model",

abstract = "The performance of PROSPECT-5 radiative transfer model for predicting leaf chlorophyll from reflectance measurements made with the Analytical Spectral Device (ASD) spectrometer was investigated using numerical inversion techniques. The reflectance data of various spectral regions in the visible to shortwave infrared (SWIR) were assessed i.e. the full range (400-2500 nm), VNIR (400-1060 nm), visible (400-700 nm), red (600-700 nm), red-red edge (600-760 nm) and red-edge (670-760 nm). Among the spectral regions, the red-edge region yielded the lowest root mean square error of prediction (RMSEP =10.3 μg/cm2) for a variety of plants including crops and wild plants (n = 463). It is therefore recommended that inversion of radiative transfer models to retrieve leaf chlorophyll content be limited to the red-edge region.",

keywords = "Analytical Spectral Device (ASD), leaf chlorophyll, PROSPECT-5, Radiative transfer model",

author = "Cho, {Moses Azong} and Abel Ramoelo and A.K. Skidmore",

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doi = "10.1109/IGARSS.2014.6947556",

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publisher = "IEEE",

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Cho, MA, Ramoelo, A & Skidmore, AK 2014, Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model. in International Geoscience and Remote Sensing Symposium (IGARSS): 13-18 July 2014, Quebec City, QC, Canada., 6947556, IEEE, pp. 4754-4757, Joint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS), Quebec, Canada, 13/07/14. https://doi.org/10.1109/IGARSS.2014.6947556

Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model. / Cho, Moses Azong; Ramoelo, Abel; Skidmore, A.K.

International Geoscience and Remote Sensing Symposium (IGARSS): 13-18 July 2014, Quebec City, QC, Canada. IEEE, 2014. p. 4754-4757 6947556.

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

TY - CHAP

T1 - Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model

AU - Cho, Moses Azong

AU - Ramoelo, Abel

AU - Skidmore, A.K.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The performance of PROSPECT-5 radiative transfer model for predicting leaf chlorophyll from reflectance measurements made with the Analytical Spectral Device (ASD) spectrometer was investigated using numerical inversion techniques. The reflectance data of various spectral regions in the visible to shortwave infrared (SWIR) were assessed i.e. the full range (400-2500 nm), VNIR (400-1060 nm), visible (400-700 nm), red (600-700 nm), red-red edge (600-760 nm) and red-edge (670-760 nm). Among the spectral regions, the red-edge region yielded the lowest root mean square error of prediction (RMSEP =10.3 μg/cm2) for a variety of plants including crops and wild plants (n = 463). It is therefore recommended that inversion of radiative transfer models to retrieve leaf chlorophyll content be limited to the red-edge region.

AB - The performance of PROSPECT-5 radiative transfer model for predicting leaf chlorophyll from reflectance measurements made with the Analytical Spectral Device (ASD) spectrometer was investigated using numerical inversion techniques. The reflectance data of various spectral regions in the visible to shortwave infrared (SWIR) were assessed i.e. the full range (400-2500 nm), VNIR (400-1060 nm), visible (400-700 nm), red (600-700 nm), red-red edge (600-760 nm) and red-edge (670-760 nm). Among the spectral regions, the red-edge region yielded the lowest root mean square error of prediction (RMSEP =10.3 μg/cm2) for a variety of plants including crops and wild plants (n = 463). It is therefore recommended that inversion of radiative transfer models to retrieve leaf chlorophyll content be limited to the red-edge region.

KW - Analytical Spectral Device (ASD)

KW - leaf chlorophyll

KW - PROSPECT-5

KW - Radiative transfer model

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BT - International Geoscience and Remote Sensing Symposium (IGARSS)

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Y2 - 13 July 2014 through 18 July 2014

ER -

Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model

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