Acta Optica Sinica, Volume. 45, Issue 15, 1501001(2025)

Satellite-Scale Solar-Induced Chlorophyll Fluorescence Prediction Based on Microwave Remote Sensing

Jiajia Ding1, Haiqiu Liu1,2、*, Kai Zhang1, Qian Liu1,2, Huimin Ma1,2, and Lichuan Gu1,2
Author Affiliations
  • 1School of Information and Artificial Intelligence, Anhui Agricultural University, Anhui 230036, Hefei , China
  • 2Anhui Provincial Engineering Research Center for Agricultural Information Perception and Intelligent Computing, Anhui 230036, Hefei , China
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    Figures & Tables(9)
    Correlation analysis of SIF with microwave vegetation indices and optical vegetation indices
    Technical roadmap
    Comparison of SIF model predictions with satellite SIF/GPP products. (a) GOME-2 SIF in 2013; (b) GOME-2 SIF in 2014; (c) GOME-2 SIF in 2015; (d) TROPOMI SIF in 2018; (e) OCO-2 SIF in 2015; (f) MODIS GPP in 2014
    Comparisons of performance of MVI-based SIF prediction model and current models under varying effective cloud coverage rate. R² values between model-predicted SIF and GOME-2 SIF in (a) 2013, (b) 2014, and (c) 2015; R² values between model-predicted SIF and (d) TROPOMI SIF in 2018, (e) OCO-2 SIF in 2015, and (f) MODIS GPP in 2014
    Comparison of SIF predictions of optical and microwave remote sensing models with satellite SIF products. Comparison of microwave remote sensing SIF and GOME-2 SIF in (a) 2013, (b) 2014 and (c) 2015; comparison of optical remote sensing SIF and GOME-2 SIF in (d) 2013, (e) 2014, and (f) 2015
    Comparison of performance of MVI-based and OVI-based SIF prediction under varying cloud coverage rate. (a) GOME-2 SIF in 2013; (b) GOME-2 SIF in 2014; (c) GOME-2 SIF in 2015
    • Table 1. Data explanation

      View table

      Table 1. Data explanation

      DatasetSpatial resolutionTemporal resolution
      GOME-2 SIF0.5°Daily
      MOD11C1 LST0.05°Daily
      MCD43C4 NBAR0.05°Daily
      MOD17A2 GPP500 m8 d
      MOD13C1 EVI/NDVI0.05°16 d
      SYNI PARDaily
      MVI VODCA0.25°Daily
      TROPOMI SIF0.05°Daily
      OCO-2 SIF2.25 km×1.29 km16 d
    • Table 2. Comparisons of SIF model prediction performance under different weather conditions (clear and overcast)

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      Table 2. Comparisons of SIF model prediction performance under different weather conditions (clear and overcast)

      ProductGOME-2 SIF in 2013GOME-2 SIF in 2014

      GOME-2

      SIF in 2015

      TROPOMI SIF in 2018OCO-2 SIF in 2015MODIS GPP in 2014
      Rclear20.935/0.8820.951/0.8860.941/0.8010.896/0.8430.841/0.6820.832/0.702
      Rovercast20.746/0.4680.782/0.4390.793/0.3850.761/0.4580.711/0.4210.632/0.335
      γ0.025/0.0510.022/0.0580.017/0.0480.019/0.0480.013/0.0330.021/0.039
    • Table 3. Comparisons of SIF model prediction performance under different conditions (clear and overcast)

      View table

      Table 3. Comparisons of SIF model prediction performance under different conditions (clear and overcast)

      ProductGOME-2 SIF in 2013GOME-2 SIF in 2014GOME-2 SIF in 2015
      Rclear20.935/0.9340.951/0.9440.941/0.925
      Rovercast20.746/0.6070.782/0.6480.793/0.681
      γ0.025/0.0420.022/0.0410.017/0.031
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    Jiajia Ding, Haiqiu Liu, Kai Zhang, Qian Liu, Huimin Ma, Lichuan Gu. Satellite-Scale Solar-Induced Chlorophyll Fluorescence Prediction Based on Microwave Remote Sensing[J]. Acta Optica Sinica, 2025, 45(15): 1501001

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Mar. 6, 2025

    Accepted: May. 12, 2025

    Published Online: Aug. 18, 2025

    The Author Email: Haiqiu Liu (lhq@ahau.edu.cn)

    DOI:10.3788/AOS250701

    CSTR:32393.14.AOS250701

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