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


Yanez-Rausell, Lucia; Malenovský, Zbyněk; Rautiainen, Miina; Clevers, Jan G P W; Lukeš, Petr; Hanuš, Jan; Schaepman, Michael E (2015). 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):1534-1544.

Abstract

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.

Abstract

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2015
Deposited On:23 Apr 2015 06:14
Last Modified:08 Dec 2017 12:50
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Publisher DOI:https://doi.org/10.1109/JSTARS.2015.2400418

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