PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle
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...
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Published in: | Remote sensing of environment Vol. 193; no. may; pp. 204 - 215 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
New York
Elsevier Inc
01-05-2017
Elsevier BV Elsevier |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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.
•PROSPECT model was calibrated to include chlorophylls, carotenoids and anthocyanins.•PROSPECT-Dynamic outperforms previous versions for estimating pigment content.•Simulating leaf optics is strongly improved, particularly for anthocyanic leaves.•This new model gives new perspectives for the monitoring of vegetation status. |
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ISSN: | 0034-4257 1879-0704 |
DOI: | 10.1016/j.rse.2017.03.004 |