Upscaling dorsiventral leaf optical properties in forest radiative transfer model

0522671 - ÚVGZ 2020 US eng A - Abstrakt
Lukeš, Petr - Neuwirthová, E. - Janoutová, Růžena - Lhotáková, Z. - Homolová, Lucie - Albrechtová, J.
Upscaling dorsiventral leaf optical properties in forest radiative transfer model.
ForestSat 2018 Entering a New Era in Forest Observations and Analysis. Maryland: ForestSat 2018, 2018 - (Dubayah, R.; Masherk, J.). s. 178-178
[ForestSAT 2018 Entering a New Era in Forest Observation and Analysis. 01.10.2018-05.10.2018, Maryland]
Institucionální podpora: RVO:86652079
Klíčová slova: radiative transfer * leaf optical properties
Obor OECD: Remote sensing

Radiative transfer models (RTM) are excellent tools to study interaction of photos in vegetation canopies. They allow us to study the complex effects of canopy structure and leaf optical properties on top-of-canopy reflectance. Importantly, inversion of the model simulations against observed forest reflectances may yield vegetation parameters without the need of in-situ data for model calibration. However, to achieve good retrieval accuracies, forest reflectance simulations must fit the observed ones. Leaf optical properties are the key input parameters in RTM. They hold an information on leaf biochemical (chlorophyll and carotenoid content, water content) and structural (leaf thickness, distribution of pigments within a leaf) properties. Whereas leaf biochemical effects on reflectance is well understood, leaf internal structure and its effect on dorsiventral leaf optical properties asymmetry has been neglected, assuming equal leaf optical properties on both leaf sides. This may lead to significant discrepancies between modeled and observed forest reflectance, and ultimately, in decreased performance of the inversion of forest parameters.In this study, we first test the performance of Dorsiventral Leaf Radiative Transfer Model (DLM) for the simulations of dorsiventral leaf optical properties. Model performance is tested on leaf samples of six tree species (Populus tremula, Salix caprea, Betula pendula, Alnus glutinosa, Alnus incana) of different inner leaf structures (fraction of air spaces, thickness palisade and spongy parenchyma) fort both upper and lower leaf reflectance. By coupling measured dorsiventral leaf optical properties with DLM model simulations of measured input parameters (internal structures and biochemistry), we were able to validate forward DLM model simulations. Next, wide range of dorsiventral leaf optical properties
Trvalý link: http://hdl.handle.net/11104/0307121