Upscaling seasonal phenological course of leaf dorsiventral reflectance in radiative transfer model

0525289 - ÚVGZ 2021 RIV US eng J - Journal Article
Lukeš, Petr - Neuwirthová, E. - Lhotáková, Z. - Janoutová, Růžena - Albrechtová, J.
Upscaling seasonal phenological course of leaf dorsiventral reflectance in radiative transfer model.
Remote Sensing of Environment. Roč. 246, SEP (2020), č. článku 111862. ISSN 0034-4257. E-ISSN 1879-0704
R&D Projects: GA MŠMT(CZ) LM2018123; GA MŠMT(CZ) LTAUSA18154; GA ČR(CZ) GJ17-05608Y
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : chlorophyll content * optical-properties * spectral properties * canopy * leaves * vegetation * light * fluorescence * variability * senescence * Adaxial and abaxial epidermis * Biochemistry * Dorsiventral leaf palisade and spongy mesophyll parenchyma * Leaf optical properties * Leaf structure * Leaf thickness * Radiative transfer model * Seasonal trends
OECD category: Remote sensing
Impact factor: 10.164, year: 2020
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0034425720302327?via%3Dihub

Forest top-of-canopy (TOC) reflectance observed by remote sensing instruments is driven by a wide range of parameters, including optical properties of leaves being the major driver, understory and bark together with structural properties of the forest spatial distribution of leaves and branches in the canopy contributing also to variable extent. In addition, the instantaneous observation geometry (e.g. the sun and sensor zenith and azimuth angles) largely influences the observed TOC reflectance due to the changes in shadow fraction in the canopies. As a result, forest TOC reflectance is highly dynamic, following the seasonal patterns of optical and structural properties of vegetation.
Permanent Link: http://hdl.handle.net/11104/0309463