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 proceedingChapterAcademicpeer-review

1 Citation (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 languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Subtitle of host publication13-18 July 2014, Quebec City, QC, Canada
PublisherIEEE
Pages4754-4757
Number of pages4
ISBN (Electronic)9781479957750
DOIs
Publication statusPublished - 1 Jan 2014
EventJoint 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 201418 Jul 2014

Conference

ConferenceJoint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS)
Abbreviated titleIGARSS 2014
CountryCanada
CityQuebec
Period13/07/1418/07/14

Fingerprint

Radiative transfer
Chlorophyll
radiative transfer
reflectance
chlorophyll
Reflectometers
Mean square error
Crops
Spectrometers
Infrared radiation
crop plant
spectrometer
prediction
inversion

Keywords

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

Cite this

Cho, M. A., Ramoelo, A., & Skidmore, A. K. (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 (pp. 4754-4757). [6947556] IEEE. https://doi.org/10.1109/IGARSS.2014.6947556
Cho, Moses Azong ; Ramoelo, Abel ; Skidmore, A.K. / Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model. International Geoscience and Remote Sensing Symposium (IGARSS): 13-18 July 2014, Quebec City, QC, Canada. IEEE, 2014. pp. 4754-4757
@inbook{7fbc8a43f8f14ead8b110ceb4bb87602,
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",
year = "2014",
month = "1",
day = "1",
doi = "10.1109/IGARSS.2014.6947556",
language = "English",
pages = "4754--4757",
booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",
address = "United States",

}

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 proceedingChapterAcademicpeer-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

UR - http://www.scopus.com/inward/record.url?scp=84911403903&partnerID=8YFLogxK

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2014/chap/skidmore_exp.pdf

U2 - 10.1109/IGARSS.2014.6947556

DO - 10.1109/IGARSS.2014.6947556

M3 - Chapter

SP - 4754

EP - 4757

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE

ER -

Cho MA, Ramoelo A, Skidmore AK. 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. IEEE. 2014. p. 4754-4757. 6947556 https://doi.org/10.1109/IGARSS.2014.6947556