Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF)

Wen, Jiaming; Tagliabue, Giulia; Rossini, Micol; Fava, Francesco Pietro; Panigada, Cinzia; Merbold, Lutz; Leitner, Sonja; Sun, Ying

doi:https://doi.org/10.5194/bg-22-2049-2025

Articles | Volume 22, issue 8

https://doi.org/10.5194/bg-22-2049-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-22-2049-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 8

Research article

|

25 Apr 2025

Research article |

| 25 Apr 2025

Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF)

Jiaming Wen, Giulia Tagliabue, Micol Rossini, Francesco Pietro Fava, Cinzia Panigada, Lutz Merbold, Sonja Leitner, and Ying Sun

Supplement

https://doi.org/10.5194/bg-22-2049-2025-supplement

Data sets

RTSIF dataset X. Chen https://doi.org/10.6084/m9.figshare.19336346.v2

Contiguous solar induced chlorophyll fluorescence (CSIF) Y. Zhang https://doi.org/10.17605/OSF.IO/8XQY6

High Resolution Global Contiguous SIF Estimates from OCO-2 SIF and MODIS L. Yu et al. https://doi.org/10.3334/ORNLDAAC/1863

MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted Ref Daily L3 Global - 500m V061 C. Schaaf and Z. Wang https://doi.org/10.5067/MODIS/MCD43A4.061

MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG V061 M. Friedl and D. Sulla-Menashe https://doi.org/10.5067/MODIS/MCD12C1.061

The TROPOSIF global sun-induced fluorescence dataset from the TROPOMI mission NOVELTIS et al. https://doi.org/10.5270/esa-s5p_innovation-sif-20180501_20210320-v2.1-202104

Global OCO-2 SIF data set (GOSIF) X. Li and J. Xiao http://data.globalecology.unh.edu/data/GOSIF_v2

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product W. Dorigo et al. https://catalogue.ceda.ac.uk/uuid/43d73291472444e6b9c2d2420dbad7d6/

MERRA-2 tavg1_2d_slv_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/VJAFPLI1CSIV

MERRA-2 tavg1_2d_lfo_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/L0T5GEG1NYFA

Model code and software

JiamingWen/Kapiti_intraseasonal: Code for Detecting Intra-Seasonal Dryland Vegetation Dynamics Using SIF (v1.0.0) J. Wen https://doi.org/10.5281/zenodo.15200357

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Short summary

Solar-induced chlorophyll fluorescence (SIF), a tiny optical signal emitted from the core photosynthetic machinery, has emerged as a promising tool to evaluate vegetation growth from satellites. We find satellite SIF can capture intra-seasonal (i.e., from days to weeks) vegetation dynamics of dryland ecosystems, while greenness-based vegetation indices cannot. This study generates novel insights for developing effective real-time vegetation monitoring systems to inform climate risk management.