A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks

Zhang, Yao; Joiner, Joanna; Alemohammad, Seyed Hamed; Zhou, Sha; Gentine, Pierre

doi:https://doi.org/10.5194/bg-15-5779-2018

Articles | Volume 15, issue 19

https://doi.org/10.5194/bg-15-5779-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-15-5779-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 19

Research article

|

02 Oct 2018

Research article |

| 02 Oct 2018

A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks

Yao Zhang, Joanna Joiner, Seyed Hamed Alemohammad, Sha Zhou, and Pierre Gentine

Supplement

https://doi.org/10.5194/bg-15-5779-2018-supplement

Data sets

CSIF Y. Zhang, J. Joiner, S. H. Alemohammad, S. Zhou, and P. Gentine https://doi.org/10.6084/m9.figshare.6387494

MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000 Y. Ryu, C. Jiang, H. Kobayashi and M. Detto https://doi.org/10.1016/j.rse.2017.09.021

First operational BRDF, albedo nadir reflectance products from MODIS, Remote Sensing of Environment C. B. Schaaf, F. Gao, A. H. Strahler, W. Lucht, X. Li, T. Tsang, N. C. Strugnell, X. Zhang, Y. Jin, J.-P. Muller, P. Lewis, M. Barnsley, P. Hobson, M. Disney, G. Roberts, M. Dunderdale, C. Doll, R. P. d'Entremont, B. Hu, S. Liang, J. L. Privette and D. Roy https://doi.org/10.1016/S0034-4257(02)00091-3

Model code and software

Contiguous SIF Y. Zhang, J. Joiner, S. H. Alemohammad, S. Zhou, and P. Gentine https://doi.org/10.5281/zenodo.1294315

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Short summary

Using satellite reflectance measurements and a machine learning algorithm, we generated a new solar-induced chlorophyll fluorescence (SIF) dataset that is closely linked to plant photosynthesis. This new dataset has higher spatial and temporal resolutions, and lower uncertainty compared to the existing satellite retrievals. We also demonstrated its application in monitoring drought and improving the understanding of the SIF–photosynthesis relationship.