Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 1101–1116, 2020
https://doi.org/10.5194/essd-12-1101-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 1101–1116, 2020
https://doi.org/10.5194/essd-12-1101-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
13 May 2020
Data description paper
| 13 May 2020
A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity
Gregory Duveiller et al.
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Cited
15 citations as recorded by crossref.
- The Negative Impact of Excessive Moisture Contributes to the Seasonal Dynamics of Photosynthesis in Amazon Moist Forests R. Chen et al. 10.1029/2021EF002306
- A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction M. Rashid et al. 10.1109/ACCESS.2021.3075159
- Sensitivity of remote sensing-based vegetation proxies to climate and sea surface temperature variabilities in Australia and parts of Southeast Asia S. Arjasakusuma et al. 10.1080/01431161.2020.1782509
- Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data A. Hornero et al. 10.1016/j.rse.2020.112195
- Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP) H. Gao et al. 10.3390/rs13142824
- Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra Nevada C. Wong et al. 10.1016/j.rse.2021.112635
- Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
- A model for urban biogenic CO<sub>2</sub> fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
- Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat Q. Shen et al. 10.1109/JSTARS.2022.3148393
- Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity Y. Ma et al. 10.3390/rs12132167
- Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought Z. Zhang et al. 10.1109/TGRS.2020.2999371
- A unified vegetation index for quantifying the terrestrial biosphere G. Camps-Valls et al. 10.1126/sciadv.abc7447
- Satellite-Based Observations Reveal the Altitude-Dependent Patterns of SIFyield and Its Sensitivity to Ambient Temperature in Tibetan Meadows R. Chen et al. 10.3390/rs13071400
- Satellite solar-induced chlorophyll fluorescence and near-infrared reflectance capture complementary aspects of dryland vegetation productivity dynamics X. Wang et al. 10.1016/j.rse.2021.112858
- An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset Y. Ma et al. 10.1080/22797254.2022.2028579
15 citations as recorded by crossref.
- The Negative Impact of Excessive Moisture Contributes to the Seasonal Dynamics of Photosynthesis in Amazon Moist Forests R. Chen et al. 10.1029/2021EF002306
- A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction M. Rashid et al. 10.1109/ACCESS.2021.3075159
- Sensitivity of remote sensing-based vegetation proxies to climate and sea surface temperature variabilities in Australia and parts of Southeast Asia S. Arjasakusuma et al. 10.1080/01431161.2020.1782509
- Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data A. Hornero et al. 10.1016/j.rse.2020.112195
- Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP) H. Gao et al. 10.3390/rs13142824
- Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra Nevada C. Wong et al. 10.1016/j.rse.2021.112635
- Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
- A model for urban biogenic CO<sub>2</sub> fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
- Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat Q. Shen et al. 10.1109/JSTARS.2022.3148393
- Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity Y. Ma et al. 10.3390/rs12132167
- Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought Z. Zhang et al. 10.1109/TGRS.2020.2999371
- A unified vegetation index for quantifying the terrestrial biosphere G. Camps-Valls et al. 10.1126/sciadv.abc7447
- Satellite-Based Observations Reveal the Altitude-Dependent Patterns of SIFyield and Its Sensitivity to Ambient Temperature in Tibetan Meadows R. Chen et al. 10.3390/rs13071400
- Satellite solar-induced chlorophyll fluorescence and near-infrared reflectance capture complementary aspects of dryland vegetation productivity dynamics X. Wang et al. 10.1016/j.rse.2021.112858
- An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset Y. Ma et al. 10.1080/22797254.2022.2028579
Latest update: 04 Jul 2022
Short summary
Sun-induced chlorophyll fluorescence is a valuable indicator of vegetation productivity, but our capacity to measure it from space using satellite remote techniques has been hampered by a lack of spatial detail. Based on prior knowledge of how ecosystems should respond to growing conditions in some modelling along with ancillary satellite observations, we provide here a new enhanced dataset with higher spatial resolution that better represents the spatial patterns of vegetation growth over land.
Sun-induced chlorophyll fluorescence is a valuable indicator of vegetation productivity, but our...
