DocumentCode
144237
Title
Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model
Author
Cho, Moses Azong ; Ramoelo, Abel ; Skidmore, Andrew
Author_Institution
Earth Obs., Natural Resources & Environ., Council for Sci. & Ind. Res. (CSIR), Pretoria, South Africa
fYear
2014
fDate
13-18 July 2014
Firstpage
4754
Lastpage
4757
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
radiative transfer; vegetation; ASD leaf reflectance chlorophyll estimation; ASD spectrometer; Analytical Spectral Device spectrometer; PROSPECT-5 radiative transfer model performance; RMSEP; SWIR; VNIR region; crop; leaf chlorophyll content retrieval; leaf chlorophyll predictinon; lowest root mean square prediction error; numerical inversion technique; plant variety; radiative transfer model inversion; red-red edge region; reflectance measurement; shortwave infrared; spectral region exploration; spectral region reflectance data; visible infrared; visible region; wild plant; Artificial neural networks; Optical reflection; Optical sensors; Reflectivity; Remote sensing; Variable speed drives; Vegetation; Analytical Spectral Device (ASD); PROSPECT-5; Radiative transfer model; leaf chlorophyll;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947556
Filename
6947556
Link To Document