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

Moses Azong Cho; Abel Ramoelo; Andrew 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, Andrew Skidmore

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › 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	2014 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	4754-4757
Number of pages	4
ISBN (Electronic)	9781479957750
DOIs	https://doi.org/10.1109/IGARSS.2014.6947556
Publication status	Published - 2014
Externally published	Yes
Event	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada Duration: 13 Jul 2014 → 18 Jul 2014

Conference

Conference	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/Territory	Canada
City	Quebec City
Period	13/07/14 → 18/07/14

Keywords

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

Access to Document

10.1109/IGARSS.2014.6947556

Cite this

Cho, M. A., Ramoelo, A., & Skidmore, A. (2014). Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model. In 2014 IEEE International Geoscience and Remote Sensing Symposium: proceedings (pp. 4754-4757). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2014.6947556

@inproceedings{19fa1f5d754149b9b6bcc8dc5447068b,

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 Andrew Skidmore",

year = "2014",

doi = "10.1109/IGARSS.2014.6947556",

language = "English",

pages = "4754--4757",

booktitle = "2014 IEEE International Geoscience and Remote Sensing Symposium",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 ; Conference date: 13-07-2014 Through 18-07-2014",

}

Cho, MA, Ramoelo, A & Skidmore, A 2014, Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model. in 2014 IEEE International Geoscience and Remote Sensing Symposium: proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 4754-4757, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, 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, Andrew.
2014 IEEE International Geoscience and Remote Sensing Symposium: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 4754-4757.

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

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AU - Cho, Moses Azong

AU - Ramoelo, Abel

AU - Skidmore, Andrew

PY - 2014

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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.

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KW - leaf chlorophyll

KW - PROSPECT-5

KW - Radiative transfer model

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PB - Institute of Electrical and Electronics Engineers (IEEE)

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

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