eCite Digital Repository
Estimation of spruce needle-leaf chlorophyll content based on DART and PARAS canopy reflectance models
Citation
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
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.
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 and Veterinary Sciences |
| Research Group: | Forestry Sciences |
| Research Field: | Forestry Sciences not elsewhere classified |
| Objective Division: | Environment |
| Objective Group: | Ecosystem Assessment and Management |
| Objective Field: | Ecosystem Assessment and Management of Mountain and High Country Environments |
| UTAS Author: | Malenovsky, Z (Dr Zbynek Malenovsky) |
| ID Code: | 105624 |
| Year Published: | 2015 |
| Web of Science® Times Cited: | 9 |
| Deposited By: | Tasmanian Institute of Agriculture |
| Deposited On: | 2016-01-11 |
| Last Modified: | 2017-11-09 |
| Downloads: | 0 |
Repository Staff Only: item control page