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 proceedingConference proceeding contribution

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 publication2014 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4754-4757
Number of pages4
ISBN (Electronic)9781479957750
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventJoint 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 201418 Jul 2014

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
CountryCanada
CityQuebec City
Period13/07/1418/07/14

Keywords

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

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    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). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2014.6947556