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
28 citations as recorded by crossref.
- Evaluation of optical and microwave-derived vegetation indices for monitoring aboveground biomass over China Z. Chang et al.
- Quantitative assessment of various proxies for downscaling coarse-resolution VOD products over the contiguous United States S. Zhong et al.
- VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al.
- A Comparative Review of Wildfire Danger Rating Systems: Focus on Fuel Moisture Modeling Frameworks S. Han et al.
- Central African biomass carbon losses and gains during 2010–2019 Z. Zhao et al.
- Downscaling of vegetation optical depth based on random forest using vegetation optical depth memory H. Yan et al.
- Assessing the effects of forest structure on vegetation optical depth in boreal forests N. Ajithkumar et al.
- Estimation of Forest Water Potential From Ground-Based L-Band Radiometry T. Jagdhuber et al.
- Flashflood Hazard Assessment in Yewa South Lga A. Adedokun et al.
- Response of vegetation optical depth across multiple microwave frequencies to global vegetation dynamics R. Jing et al.
- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al.
- Divergent Responses of Multi-frequency Vegetation Optical Depth Products to Climate Variations in China M. He et al.
- Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy D. Chaparro et al.
- Evaluating RayCloudTools to estimate single-tree volume B. Wild et al.
- Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US J. Cao et al.
- Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment H. Ma et al.
- Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests From P- to Ka-Band Y. Zhou et al.
- Sentinel-1 vegetation optical depth retrievals over the international soil moisture network Z. Lu et al.
- 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.
- L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review Z. Ye et al.
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology Z. Pierrat et al.
- Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature X. Meng et al.
- Assessing Flood Vulnerability in Nigeria: A Model-Based Evaluation M. Adewara et al.
- Why the world needs a wildfire risk prediction system based on plant functional traits and moisture—before fires ignite S. Sohel & A. Marshall
- How accurately does L band vegetation optical depth predict aboveground biomass? Y. Zhang et al.
- A novel active-microwave method to estimate 1 km vegetation optical depth over the Heihe River Basin Z. Lu et al.
- Improving AMSR2 vegetation optical depth retrievals via land parameter retrieval model parameter optimisation R. Zotta et al.
- The Physiological and Structural Responses of African Vegetation to Extreme Drought Revealed by Multi-Spectral Satellite Remote Sensing Y. Zhao & X. Zhang
28 citations as recorded by crossref.
- Evaluation of optical and microwave-derived vegetation indices for monitoring aboveground biomass over China Z. Chang et al.
- Quantitative assessment of various proxies for downscaling coarse-resolution VOD products over the contiguous United States S. Zhong et al.
- VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al.
- A Comparative Review of Wildfire Danger Rating Systems: Focus on Fuel Moisture Modeling Frameworks S. Han et al.
- Central African biomass carbon losses and gains during 2010–2019 Z. Zhao et al.
- Downscaling of vegetation optical depth based on random forest using vegetation optical depth memory H. Yan et al.
- Assessing the effects of forest structure on vegetation optical depth in boreal forests N. Ajithkumar et al.
- Estimation of Forest Water Potential From Ground-Based L-Band Radiometry T. Jagdhuber et al.
- Flashflood Hazard Assessment in Yewa South Lga A. Adedokun et al.
- Response of vegetation optical depth across multiple microwave frequencies to global vegetation dynamics R. Jing et al.
- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al.
- Divergent Responses of Multi-frequency Vegetation Optical Depth Products to Climate Variations in China M. He et al.
- Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy D. Chaparro et al.
- Evaluating RayCloudTools to estimate single-tree volume B. Wild et al.
- Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US J. Cao et al.
- Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment H. Ma et al.
- Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests From P- to Ka-Band Y. Zhou et al.
- Sentinel-1 vegetation optical depth retrievals over the international soil moisture network Z. Lu et al.
- 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.
- L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review Z. Ye et al.
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology Z. Pierrat et al.
- Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature X. Meng et al.
- Assessing Flood Vulnerability in Nigeria: A Model-Based Evaluation M. Adewara et al.
- Why the world needs a wildfire risk prediction system based on plant functional traits and moisture—before fires ignite S. Sohel & A. Marshall
- How accurately does L band vegetation optical depth predict aboveground biomass? Y. Zhang et al.
- A novel active-microwave method to estimate 1 km vegetation optical depth over the Heihe River Basin Z. Lu et al.
- Improving AMSR2 vegetation optical depth retrievals via land parameter retrieval model parameter optimisation R. Zotta et al.
- The Physiological and Structural Responses of African Vegetation to Extreme Drought Revealed by Multi-Spectral Satellite Remote Sensing Y. Zhao & X. Zhang
Saved (final revised paper)
Latest update: 04 May 2026
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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