Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4041-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-4041-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
04 Sep 2020
Model description paper |
| 04 Sep 2020
| 04 Sep 2020
FLiES-SIF version 1.0: three-dimensional radiative transfer model for estimating solar induced fluorescence
Yuma Sakai
CORRESPONDING AUTHOR
Institute of Arctic Climate and Environment Research, Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
Hideki Kobayashi
Institute of Arctic Climate and Environment Research, Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Tomomichi Kato
Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
Global Station for Food, Land, and Water Resources, GI-Core, Hokkaido University, Sapporo, Japan
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Cited
18 citations as recorded by crossref.
- FoScenes: A high-fidelity, large-scale 3D forest plant area density product derived from open-access airborne lidar data C. Zhou et al.
- Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation W. Liu et al.
- Characterizing seasonal lag relationship between leaf area index and solar-induced chlorophyll fluorescence in China J. Chen et al.
- Machine Learning for Satellite Solar-Induced Fluorescence: Retrieval, Reconstruction, Downscaling, and Applications J. Verrelst et al.
- Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation J. Lee et al.
- Simulation of solar-induced chlorophyll fluorescence by modeling radiative coupling between vegetation and atmosphere with WPS F. Zhao et al.
- A Geographically Random Machine Learning Model for GOME-2 Global Seamless Sun-Induced Chlorophyll Fluorescence Downscaling Products With High Spatiotemporal Resolution S. He et al.
- Adjusting solar-induced fluorescence to nadir-viewing provides a better proxy for GPP D. Hao et al.
- Row orientation influences the diurnal cycle of solar-induced chlorophyll fluorescence emission from wheat canopy, as demonstrated by radiative transfer modeling T. Morozumi et al.
- Mapping of sun-induced fluorescence (SIF) in kiwifruit canopy using a 3D radiative transfer modeling and airborne hyperspectral imaging R. Pullanagari et al.
- Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis D. Hao et al.
- A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters R. Scodellaro et al.
- Simulation of solar-induced chlorophyll fluorescence in a heterogeneous forest using 3-D radiative transfer modelling and airborne LiDAR S. Gao et al.
- Bi-directional Monte-Carlo modelling of solar-induced chlorophyll fluorescence images for 3D vegetation canopies in the DART model O. Regaieg et al.
- The utility of radiative transfer models (RTM) on remotely sensed data in retrieving biophysical and biochemical properties of terrestrial biomes: A systematic review B. Sibiya et al.
- Assessing impacts of canopy 3D structure on chlorophyll fluorescence radiance and radiative budget of deciduous forest stands using DART O. Regaieg et al.
- Modeling of Cotton Yield Estimation Based on Canopy Sun-Induced Chlorophyll Fluorescence H. Wang et al.
- Contributions of the understory and midstory to total canopy solar-induced chlorophyll fluorescence in a ground-based study in conjunction with seasonal gross primary productivity in a cool-temperate deciduous broadleaf forest T. Morozumi et al.
18 citations as recorded by crossref.
- FoScenes: A high-fidelity, large-scale 3D forest plant area density product derived from open-access airborne lidar data C. Zhou et al.
- Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation W. Liu et al.
- Characterizing seasonal lag relationship between leaf area index and solar-induced chlorophyll fluorescence in China J. Chen et al.
- Machine Learning for Satellite Solar-Induced Fluorescence: Retrieval, Reconstruction, Downscaling, and Applications J. Verrelst et al.
- Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation J. Lee et al.
- Simulation of solar-induced chlorophyll fluorescence by modeling radiative coupling between vegetation and atmosphere with WPS F. Zhao et al.
- A Geographically Random Machine Learning Model for GOME-2 Global Seamless Sun-Induced Chlorophyll Fluorescence Downscaling Products With High Spatiotemporal Resolution S. He et al.
- Adjusting solar-induced fluorescence to nadir-viewing provides a better proxy for GPP D. Hao et al.
- Row orientation influences the diurnal cycle of solar-induced chlorophyll fluorescence emission from wheat canopy, as demonstrated by radiative transfer modeling T. Morozumi et al.
- Mapping of sun-induced fluorescence (SIF) in kiwifruit canopy using a 3D radiative transfer modeling and airborne hyperspectral imaging R. Pullanagari et al.
- Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis D. Hao et al.
- A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters R. Scodellaro et al.
- Simulation of solar-induced chlorophyll fluorescence in a heterogeneous forest using 3-D radiative transfer modelling and airborne LiDAR S. Gao et al.
- Bi-directional Monte-Carlo modelling of solar-induced chlorophyll fluorescence images for 3D vegetation canopies in the DART model O. Regaieg et al.
- The utility of radiative transfer models (RTM) on remotely sensed data in retrieving biophysical and biochemical properties of terrestrial biomes: A systematic review B. Sibiya et al.
- Assessing impacts of canopy 3D structure on chlorophyll fluorescence radiance and radiative budget of deciduous forest stands using DART O. Regaieg et al.
- Modeling of Cotton Yield Estimation Based on Canopy Sun-Induced Chlorophyll Fluorescence H. Wang et al.
- Contributions of the understory and midstory to total canopy solar-induced chlorophyll fluorescence in a ground-based study in conjunction with seasonal gross primary productivity in a cool-temperate deciduous broadleaf forest T. Morozumi et al.
Saved (final revised paper)
Latest update: 16 May 2026
Short summary
Chlorophyll fluorescence is one of the energy release pathways of excess incident light in the photosynthetic process. The canopy-scale Sun-induced chlorophyll fluorescence (SIF), which potentially provides a direct pathway to link leaf-level photosynthesis to global GPP, can be observed from satellites. We develop the three-dimensional Monte Carlo plant canopy radiative transfer model to understand the biological and physical mechanisms behind SIF emission from complex forest canopies.
Chlorophyll fluorescence is one of the energy release pathways of excess incident light in the...
