Articles | Volume 20, issue 5
https://doi.org/10.5194/bg-20-1027-2023
© Author(s) 2023. 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-20-1027-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Mar 2023
Research article |
| 16 Mar 2023
| 16 Mar 2023
Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties
Luisa Schmidt
CORRESPONDING AUTHOR
Institute of
Photogrammetry and Remote Sensing, Technische Universität Dresden, 01069 Dresden, Germany
Matthias Forkel
Institute of
Photogrammetry and Remote Sensing, Technische Universität Dresden, 01069 Dresden, Germany
Ruxandra-Maria Zotta
Department of Geodesy and
Geoinformation, Technische Universität Wien, Vienna, Austria
Samuel Scherrer
Department of Geodesy and
Geoinformation, Technische Universität Wien, Vienna, Austria
Wouter A. Dorigo
Department of Geodesy and
Geoinformation, Technische Universität Wien, Vienna, Austria
Alexander Kuhn-Régnier
Leverhulme Centre for Wildfires, Environment and Society, London, SW7
2AZ, UK
Department of Physics, Imperial College London, London, SW7 2AZ, UK
Robin van der Schalie
Planet, Wilhelminastraat 43A, 2011 VK Haarlem, the Netherlands
Marta Yebra
Fenner School of Environment & Society, Australian National
University, Canberra, ACT 2601, Australia
School of Engineering, Australian National University, Canberra, ACT 2601,
Australia
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Cited
12 citations as recorded by crossref.
- Evaluation of optical and microwave-derived vegetation indices for monitoring aboveground biomass over China Z. Chang et al. 10.1080/10095020.2024.2311858
- Quantitative assessment of various proxies for downscaling coarse-resolution VOD products over the contiguous United States S. Zhong et al. 10.1016/j.jag.2024.103910
- L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review Z. Ye et al. 10.3390/plants13172511
- 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
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology Z. Pierrat et al. 10.1111/nph.20405
- Central African biomass carbon losses and gains during 2010–2019 Z. Zhao et al. 10.1016/j.oneear.2024.01.021
- Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature X. Meng et al. 10.1016/j.rse.2024.114018
- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al. 10.1007/s10712-024-09833-z
- Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy D. Chaparro et al. 10.1016/j.rse.2024.113993
- Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US J. Cao et al. 10.1016/j.jag.2024.104072
- Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests From P- to Ka-Band Y. Zhou et al. 10.1109/TGRS.2024.3491218
- A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison M. Wang et al. 10.1016/j.rse.2024.114370
12 citations as recorded by crossref.
- Evaluation of optical and microwave-derived vegetation indices for monitoring aboveground biomass over China Z. Chang et al. 10.1080/10095020.2024.2311858
- Quantitative assessment of various proxies for downscaling coarse-resolution VOD products over the contiguous United States S. Zhong et al. 10.1016/j.jag.2024.103910
- L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review Z. Ye et al. 10.3390/plants13172511
- 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
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology Z. Pierrat et al. 10.1111/nph.20405
- Central African biomass carbon losses and gains during 2010–2019 Z. Zhao et al. 10.1016/j.oneear.2024.01.021
- Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature X. Meng et al. 10.1016/j.rse.2024.114018
- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al. 10.1007/s10712-024-09833-z
- Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy D. Chaparro et al. 10.1016/j.rse.2024.113993
- Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US J. Cao et al. 10.1016/j.jag.2024.104072
- Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests From P- to Ka-Band Y. Zhou et al. 10.1109/TGRS.2024.3491218
- A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison M. Wang et al. 10.1016/j.rse.2024.114370
Latest update: 21 Feb 2025
Short summary
Vegetation attenuates natural microwave emissions from the land surface. The strength of this attenuation is quantified as the vegetation optical depth (VOD) parameter and is influenced by the vegetation mass, structure, water content, and observation wavelength. Here we model the VOD signal as a multi-variate function of several descriptive vegetation variables. The results help in understanding the effects of ecosystem properties on VOD.
Vegetation attenuates natural microwave emissions from the land surface. The strength of this...
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