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Estimation of spruce needle-leaf chlorophyll content based on DART and PARAS canopy reflectance models


Yanez-Rausell, L and Malenovsky, Z and Rautiainen, M and Clevers, JGPW and Lukes, P and Hanus, J and Schaepman, ME, Estimation of spruce needle-leaf chlorophyll content based on DART and PARAS canopy reflectance models, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, (4) pp. 1534-1544. ISSN 1939-1404 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 IEEE

DOI: doi:10.1109/JSTARS.2015.2400418


Needle-leaf chlorophyll content (Cab) of a Norway spruce stand was estimated from CHRIS-PROBA images using the canopy reflectance simulated by the PROSPECT model coupled with two canopy reflectance models: 1) discrete anisotropic radiative transfer model (DART); and 2) PARAS. The DART model uses a detailed description of the forest scene, whereas PARAS is based on the photon recollision probability theory and uses a simplified forest structural description. Subsequently, statistically significant empirical functions between the optical indices ANCB670-720 and ANMB670-720 and the needle-leaf Cab content were established and then applied to CHRIS-PROBA data. The Cab estimating regressions using ANMB670_720 were more robust than using ANCB670-720 since the latter was more sensitive to LAI, especially in case of PARAS. Comparison between Cab estimates showed strong linear correlations between PARAS and DART retrievals, with a nearly perfect one-to-one fit when using ANMB670-720 (slope = 1.1, offset = 11 μg cm-2). Further comparison with Cab estimated from an AISA Eagle image of the same stand showed better results for PARAS (RMSE = 2.7 μg cm-2 for ANCB670-720; RMSE = 9.5 μg cm-2 for ANMB670_720) than for DART (RMSE = 7.5 μg cm-2 for ANCB670-720; RMSE = 23 μg cm-2 for ANMB670-720). Although these results show the potential for simpler models like PARAS in estimating needle-leaf Cab from satellite imaging spectroscopy data, further analyses regarding parameterization of radiative transfer models are recommended.

Item Details

Item Type:Refereed Article
Keywords:chlorophyll a + b estimation, CHRIS-PROBA, coniferous forest, continuum removal, discrete anisotropic radia- tive transfer model (DART), needle-leaf, Norway spruce, optical indices, PARAS, PROSPECT, radiative transfer, recollision probability
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Forestry sciences
Research Field:Forestry sciences not elsewhere classified
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Malenovsky, Z (Dr Zbynek Malenovsky)
ID Code:105624
Year Published:2015
Web of Science® Times Cited:12
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2016-01-11
Last Modified:2017-11-09

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