Articles | Volume 18, issue 11
https://doi.org/10.5194/bg-18-3285-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-3285-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of temperature and water availability on microwave-derived gross primary production
Irene E. Teubner
CORRESPONDING AUTHOR
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Hohe Warte 38, 1190 Vienna, Austria
Matthias Forkel
Environmental Remote Sensing Group, Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Helmholtzstraße 10, 01069 Dresden, Germany
Benjamin Wild
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
Leander Mösinger
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
Wouter Dorigo
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
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Cited
14 citations as recorded by crossref.
- Spatio-Temporal Variations Pattern Study of Gross Primary Productivity of 1979~2018 in the Qinghai-Tibet Plateau Based on the Biome-BGC Model 翔. 施 10.12677/gser.2024.132044
- Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. 10.5194/bg-19-2557-2022
- The Loss and Recovery Potential of Net Ecosystem Productivity in Mining Areas: A Global Assessment Based on Data for 2000–2020 Y. Yang et al. 10.3390/land13111913
- VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing B. Wild et al. 10.5194/essd-14-1063-2022
- Terrestrial carbon cycle: tipping edge of climate change between the atmosphere and biosphere ecosystems M. Hari & B. Tyagi 10.1039/D1EA00102G
- Misrepresented optimum temperatures for global vegetation productivity in Earth system models Y. Wang et al. 10.1016/j.oneear.2025.101428
- Remote sensing of daily evapotranspiration and gross primary productivity of four forest ecosystems in East Asia using satellite multi-channel passive microwave measurements Y. Wang et al. 10.1016/j.agrformet.2023.109595
- Environmental Drivers of Gross Primary Production and Evapotranspiration at a Robinia pseudoacacia L. Restoration Plantation N. Markos et al. 10.3390/f14050916
- VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al. 10.5194/essd-16-4573-2024
- Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit S. Li et al. 10.1016/j.jhydrol.2023.129292
- Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
- Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient Y. Wang et al. 10.1029/2021JG006753
- Soil bulk density and altitude are primary drivers of soil water content and soil temperature in the Three Rivers Headwaters Region, China C. Qiao et al. 10.1111/sum.12910
- Estimation of Global Cropland Gross Primary Production from Satellite Observations by Integrating Water Availability Variable in Light-Use-Efficiency Model D. Du et al. 10.3390/rs14071722
14 citations as recorded by crossref.
- Spatio-Temporal Variations Pattern Study of Gross Primary Productivity of 1979~2018 in the Qinghai-Tibet Plateau Based on the Biome-BGC Model 翔. 施 10.12677/gser.2024.132044
- Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. 10.5194/bg-19-2557-2022
- The Loss and Recovery Potential of Net Ecosystem Productivity in Mining Areas: A Global Assessment Based on Data for 2000–2020 Y. Yang et al. 10.3390/land13111913
- VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing B. Wild et al. 10.5194/essd-14-1063-2022
- Terrestrial carbon cycle: tipping edge of climate change between the atmosphere and biosphere ecosystems M. Hari & B. Tyagi 10.1039/D1EA00102G
- Misrepresented optimum temperatures for global vegetation productivity in Earth system models Y. Wang et al. 10.1016/j.oneear.2025.101428
- Remote sensing of daily evapotranspiration and gross primary productivity of four forest ecosystems in East Asia using satellite multi-channel passive microwave measurements Y. Wang et al. 10.1016/j.agrformet.2023.109595
- Environmental Drivers of Gross Primary Production and Evapotranspiration at a Robinia pseudoacacia L. Restoration Plantation N. Markos et al. 10.3390/f14050916
- VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al. 10.5194/essd-16-4573-2024
- Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit S. Li et al. 10.1016/j.jhydrol.2023.129292
- Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
- Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient Y. Wang et al. 10.1029/2021JG006753
- Soil bulk density and altitude are primary drivers of soil water content and soil temperature in the Three Rivers Headwaters Region, China C. Qiao et al. 10.1111/sum.12910
- Estimation of Global Cropland Gross Primary Production from Satellite Observations by Integrating Water Availability Variable in Light-Use-Efficiency Model D. Du et al. 10.3390/rs14071722
Latest update: 05 Oct 2025
Short summary
Vegetation optical depth (VOD), which contains information on vegetation water content and biomass, has been previously shown to be related to gross primary production (GPP). In this study, we analyzed the impact of adding temperature as model input and investigated if this can reduce the previously observed overestimation of VOD-derived GPP. In addition, we could show that the relationship between VOD and GPP largely holds true along a gradient of dry or wet conditions.
Vegetation optical depth (VOD), which contains information on vegetation water content and...
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