PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle

REMOTE SENSING OF ENVIRONMENT

卷:193

Article

Feret, J. -B.¹  Gitelson, A. A.^2,3  Noble, S. D.⁴  Jacquemoud, S.⁵ 

[1] Irtsea, UMR TETIS, Maison Teledetect, 500 Rue Jean Francois Breton, F-34000 Montpellier, France

[2] Israel Inst Technol, Fac Civil & Environm Engn, Haifa, Israel

[3] Univ Nebraska, Sch Nat Resources, Lincoln, NE USA

[4] Univ Saskatchewan, Coll Engn, 57 Campus Dr, Saskatoon, SK S7N 5A9, Canada

[5] Univ Paris Diderot, UMR CNRS 7154, Inst Phys Globe Paris, Sorbonne Paris Cite, Case 7071,35 Rue Helene Brion, F-75013 Paris, France

关键词: Anthocyanins;    Pigments;    Hyperspectral;    Leaf optical properties;    PROSPECT;    Radiative transfer model;   

DOI  :  10.1016/j.rse.2017.03.004

来源: Elsevier

【 摘 要 】

Leaf pigments provide valuable information about plant physiology. High resolution monitoring of their dynamics will give access to better understanding of processes occurring at different scales, and will be particularly important for ecologists, farmers, and decision makers to assess the influence of climate change on plant functions, and the adaptation of forest, crop, and other plant canopies. In this article, we present a new version of the widely-used PROSPECT model, hereafter named PROSPECT-D for dynamic, which adds anthocyanins to chlorophylls and carotenoids, the two plant pigments in the current version. We describe the evolution and improvements of PROSPECT-D compared to the previous versions, and perform a validation on various experimental datasets. Our results show that PROSPECT-D outperforms all the previous versions. Model prediction uncertainty is decreased and photosynthetic pigments are better retrieved. This is particularly the case for leaf carotenoids, the estimation of which is particularly challenging. PROSPECT-D is also able to simulate realistic leaf optical properties with minimal error in the visible domain, and similar performances to other versions in the near infrared and shortwave infrared domains. (C) 2017 Elsevier Inc. All rights reserved.

【 授权许可】

Free