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Abstract

Leaf chlorophyll is central to the exchange of carbon, water and energy between the biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper presents the first spatially-continuous view of terrestrial leaf chlorophyll content (ChlLeaf) at the global scale. Weekly maps of ChlLeaf were produced from ENVISAT MERIS full resolution (300 m) satellite data using a two-stage physically-based radiative transfer modelling approach. Firstly, leaf-level reflectance was derived from top-of-canopy satellite reflectance observations using 4-Scale and SAIL canopy radiative transfer models for woody and non-woody vegetation, respectively. Secondly, the modelled leaf-level reflectance was input into the PROSPECT leaf-level radiative transfer model to derive ChlLeaf. The ChlLeaf retrieval algorithm was validated using measured ChlLeaf data from 248 sample measurements at 28 field locations, and covering six plant functional types (PFTs). Modelled results show strong relationships with field measurements, particularly for deciduous broadleaf forests (R2 = 0.67; RMSE = 9.25 μg cm-2; p 2 = 0.41; RMSE = 13.18 μg cm-2; p 2 = 0.47; RMSE = 10.63 μg cm-2; p Leaf remained good (R2 = 0.47, RMSE = 10.79 μg cm-2; p Leaf and a commonly used chlorophyll-sensitive spectral vegetation index; the MERIS Terrestrial Chlorophyll Index (MTCI; R2 = 0.27, p Leaf, with evergreen broadleaf forests presenting the highest leaf chlorophyll values, with global annual median values of 54.4 μg cm-2. Distinct seasonal ChlLeaf phenologies are also visible, particularly in deciduous plant forms, associated with budburst and crop growth, and leaf senescence. It is anticipated that this global ChlLeaf product will make an important step towards the explicit consideration of leaf-level bioche

Item Type:	Article
Authors/Creators:	Croft, H and Chen, JM and Wang, R and Mo, G and Luo, S and Luo, X and He, L and Gonsamo, A and Arabian, J and Zhang, Y and Simic-Milas, A and Noland, TL and He, Y and Homolova, L and Malenovsky, Z and Yi, Q and Beringer, J and Amiri, R and Hutley, L and Arellano, P and Stahl, C and Bonal, D
Keywords:	radiative transfer, 4-Scale, SAIL, PROSPECT, leaf biochemistry, MERIS, satellite, remote sensing, leaf physiology, carbon cycle, ecosystem modelling, phenology
Journal or Publication Title:	Remote Sensing of Environment
Publisher:	Elsevier Science Inc
ISSN:	0034-4257
DOI / ID Number:	10.1016/j.rse.2019.111479
Copyright Information:	© 2019 Elsevier Inc. All rights reserved.
Related URLs:	Google Scholar: Malenovsky, Z UTAS Profile: Malenovsky, Z
Item Statistics:	View statistics for this item

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