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Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects

Wang, Zhihui and Skidmore, Andrew and Wang, Tiejun and Darvishzadeh, Roshanak and Heiden, Uta and Heurich, Marco and Latifi, Hooman and Hearne, John (2017) Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. International Journal of Applied Earth Observation and Geoinformation, 54, pp. 84-94. Elsevier. doi: 10.1016/j.jag.2016.09.008. ISSN 1569-8432.

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Official URL: http://www.sciencedirect.com/science/article/pii/S0303243416301659


A statistical relationship between canopy mass-based foliar nitrogen concentration (%N) and canopy bidi-rectional reflectance factor (BRF) has been repeatedly demonstrated. However, the interaction betweenleaf properties and canopy structure confounds the estimation of foliar nitrogen. The canopy scatteringcoefficient (the ratio of BRF and the directional area scattering factor, DASF) has recently been suggestedfor estimating %N as it suppresses the canopy structural effects on BRF. However, estimation of %N usingthe scattering coefficient has not yet been investigated for longer spectral wavelengths (>855 nm). Weretrieved the canopy scattering coefficient for wavelengths between 400 and 2500 nm from airbornehyperspectral imagery, and then applied a continuous wavelet analysis (CWA) to the scattering coefficientin order to estimate %N. Predictions of %N were also made using partial least squares regression (PLSR).We found that %N can be accurately retrieved using CWA (R2= 0.65, RMSE = 0.33) when four waveletfeatures are combined, with CWA yielding a more accurate estimation than PLSR (R2= 0.47, RMSE = 0.41).We also found that the wavelet features most sensitive to %N variation in the visible region relate tochlorophyll absorption, while wavelet features in the shortwave infrared regions relate to protein anddry matter absorption. Our results confirm that %N can be retrieved using the scattering coefficient aftercorrecting for canopy structural effect. With the aid of high-fidelity airborne or upcoming space-bornehyperspectral imagery, large-scale foliar nitrogen maps can be generated to improve the modeling ofecosystem processes as well as ecosystem-climate feedbacks.

Item URL in elib:https://elib.dlr.de/109130/
Document Type:Article
Title:Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wang, Zhihuiz.wang-1 (at) utwente.nlUNSPECIFIED
Skidmore, Andrewa.k.skidmore (at) utwente.nlUNSPECIFIED
Wang, Tiejunt.wang (at) utwente.nlUNSPECIFIED
Darvishzadeh, Roshanakr.darvish (at) utwente.nlUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Heurich, Marcobavarian forest national park, department of researchUNSPECIFIED
Latifi, Hoomanhooman.latifi (at) uni-wuerzburg.deUNSPECIFIED
Date:February 2017
Journal or Publication Title:International Journal of Applied Earth Observation and Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1016/j.jag.2016.09.008
Page Range:pp. 84-94
Keywords:Foliar nitrogen, Forest canopy structure, Hyperspectral remote sensing, Essential biodiversity variables; HySpex
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
German Remote Sensing Data Center > Land Surface
Deposited By: Wöhrl, Monika
Deposited On:07 Dec 2016 13:01
Last Modified:17 Aug 2021 10:09

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