Articles | Volume 27, issue 1
https://doi.org/10.5194/hess-27-39-2023
© 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/hess-27-39-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jan 2023
Research article |
| 02 Jan 2023
| 02 Jan 2023
Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth
Matthias Forkel
CORRESPONDING AUTHOR
Faculty of Environmental Sciences, Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01062 Dresden, Germany
Luisa Schmidt
Faculty of Environmental Sciences, Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01062 Dresden, Germany
Ruxandra-Maria Zotta
Department of Geodesy and Geoinformation, Technische Universität Wien, 1040 Vienna, Austria
Wouter Dorigo
Department of Geodesy and Geoinformation, Technische Universität Wien, 1040 Vienna, Austria
Marta Yebra
Fenner School of Environment and Society, Australian National
University, ACT 2601 Canberra, Australia
School of Engineering, Australian National University, ACT 2601 Canberra, Australia
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Cited
18 citations as recorded by crossref.
- Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
- Global L-band equivalent AI-based vegetation optical depth dataset O. Skulovich et al. 10.1038/s41597-024-03810-2
- A review of spaceborne synthetic aperture radar for invasive alien plant research G. Shennan & R. Crabbe 10.1016/j.rsase.2024.101358
- Mapping global drought-induced forest mortality based on multiple satellite vegetation optical depth data X. Zhang et al. 10.1016/j.rse.2024.114406
- Robustness of Vegetation Optical Depth Retrievals Based on L-Band Global Radiometry D. Chaparro et al. 10.1109/TGRS.2022.3201581
- Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- Estimation of All-Sky High-Resolution Gross Primary Production Across Different Biome Types Using Active Microwave Satellite Images and Environmental Data J. Chen & Z. Zhang 10.1109/JSTARS.2024.3422795
- Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy D. Chaparro et al. 10.1016/j.rse.2024.113993
- Remote sensing of vegetation and soil moisture content in Atlantic humid mountains with Sentinel-1 and 2 satellite sensor data A. Monteiro et al. 10.1016/j.ecolind.2024.112123
- Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize M. Cheng et al. 10.1016/j.agwat.2023.108442
- Combining Microwave and Optical Remote Sensing to Characterize Global Vegetation Water Status X. Wang et al. 10.1109/TGRS.2023.3294948
- Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
- A global fuel characteristic model and dataset for wildfire prediction J. McNorton & F. Di Giuseppe 10.5194/bg-21-279-2024
- 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
- A Review on Soil Moisture Dynamics Monitoring in Semi-Arid Ecosystems: Methods, Techniques, and Tools Applied at Different Scales E. Duarte & A. Hernandez 10.3390/app14177677
- Resilience Indicators for Tropical Rainforests in a Dynamic Vegetation Model S. Bathiany et al. 10.1111/gcb.17613
- Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth M. Forkel et al. 10.5194/hess-27-39-2023
17 citations as recorded by crossref.
- Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
- Global L-band equivalent AI-based vegetation optical depth dataset O. Skulovich et al. 10.1038/s41597-024-03810-2
- A review of spaceborne synthetic aperture radar for invasive alien plant research G. Shennan & R. Crabbe 10.1016/j.rsase.2024.101358
- Mapping global drought-induced forest mortality based on multiple satellite vegetation optical depth data X. Zhang et al. 10.1016/j.rse.2024.114406
- Robustness of Vegetation Optical Depth Retrievals Based on L-Band Global Radiometry D. Chaparro et al. 10.1109/TGRS.2022.3201581
- Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- Estimation of All-Sky High-Resolution Gross Primary Production Across Different Biome Types Using Active Microwave Satellite Images and Environmental Data J. Chen & Z. Zhang 10.1109/JSTARS.2024.3422795
- Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy D. Chaparro et al. 10.1016/j.rse.2024.113993
- Remote sensing of vegetation and soil moisture content in Atlantic humid mountains with Sentinel-1 and 2 satellite sensor data A. Monteiro et al. 10.1016/j.ecolind.2024.112123
- Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize M. Cheng et al. 10.1016/j.agwat.2023.108442
- Combining Microwave and Optical Remote Sensing to Characterize Global Vegetation Water Status X. Wang et al. 10.1109/TGRS.2023.3294948
- Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
- A global fuel characteristic model and dataset for wildfire prediction J. McNorton & F. Di Giuseppe 10.5194/bg-21-279-2024
- 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
- A Review on Soil Moisture Dynamics Monitoring in Semi-Arid Ecosystems: Methods, Techniques, and Tools Applied at Different Scales E. Duarte & A. Hernandez 10.3390/app14177677
- Resilience Indicators for Tropical Rainforests in a Dynamic Vegetation Model S. Bathiany et al. 10.1111/gcb.17613
Latest update: 06 Jan 2025
Short summary
The live fuel moisture content (LFMC) of vegetation canopies is a driver of wildfires. We investigate the relation between LFMC and passive microwave satellite observations of vegetation optical depth (VOD) and develop a method to estimate LFMC from VOD globally. Our global VOD-based estimates of LFMC can be used to investigate drought effects on vegetation and fire risks.
The live fuel moisture content (LFMC) of vegetation canopies is a driver of wildfires. We...
