Articles | Volume 20, issue 9
https://doi.org/10.5194/bg-20-1789-2023
© 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-20-1789-2023
© 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 May 2023
Research article |
| 16 May 2023
| 16 May 2023
Continuous ground monitoring of vegetation optical depth and water content with GPS signals
Vincent Humphrey
CORRESPONDING AUTHOR
Division of Geological and Planetary Sciences, California Institute of
Technology, Pasadena, CA, USA
Department of Geography, University of Zürich, Zurich,
Switzerland
Christian Frankenberg
Division of Geological and Planetary Sciences, California Institute of
Technology, Pasadena, CA, USA
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
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- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- The intricacies of vegetation responses to changing moisture conditions J. Green 10.1111/nph.20182
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- Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment H. Ma et al. 10.1016/j.rse.2025.114801
- The Ecosystem as Super-Organ/ism, Revisited: Scaling Hydraulics to Forests under Climate Change J. Wood et al. 10.1093/icb/icae073
- Estimation of Forest Water Potential From Ground-Based L-Band Radiometry T. Jagdhuber et al. 10.1109/JSTARS.2025.3533567
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17 citations as recorded by crossref.
- Modeling of Multi-Frequency Microwave Backscatter and Emission of Land Surface by a Community Land Active Passive Microwave Radiative Transfer Modeling Platform H. Zhao et al. 10.34133/remotesensing.0415
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- PSInet: a new global water potential network A. Restrepo-Acevedo et al. 10.1093/treephys/tpae110
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- The intricacies of vegetation responses to changing moisture conditions J. Green 10.1111/nph.20182
- Sap flow monitoring in environmental research networks: lessons learned from SAPFLUXNET and challenges for the future R. Poyatos et al. 10.17660/ActaHortic.2025.1419.6
- Agriculture in silico: Perspectives on radiative transfer optimization using vegetation modeling Y. Wang & Y. Yin 10.1016/j.crope.2023.07.003
- Retrieval of ground, snow, and forest parameters from space borne passive L band observations. A case study over Sodankylä, Finland M. Holmberg et al. 10.1016/j.rse.2024.114143
- On the real-time tropospheric delay estimates using low-cost GNSS receivers and antennas L. Li et al. 10.1007/s10291-024-01655-1
- Estimating Vegetation Optical Depth With Mobile GNSS Transmissiometry in Temperate Forests During SMAPVEX22 A. Ghosh et al. 10.1109/JSTARS.2025.3541182
- A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals A. Ghosh et al. 10.1109/JSTARS.2024.3365798
- Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment H. Ma et al. 10.1016/j.rse.2025.114801
- The Ecosystem as Super-Organ/ism, Revisited: Scaling Hydraulics to Forests under Climate Change J. Wood et al. 10.1093/icb/icae073
- Estimation of Forest Water Potential From Ground-Based L-Band Radiometry T. Jagdhuber et al. 10.1109/JSTARS.2025.3533567
- 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
- An Improved Model for Wheat Volumetric Water Content Estimation Using GNSS Refractometry Y. Li et al. 10.1109/LGRS.2025.3554789
- SMAP Validation Experiment 2019–2022 (SMAPVEX19–22): Field Campaign to Improve Soil Moisture and Vegetation Optical Depth Retrievals in Temperate Forests A. Colliander et al. 10.1109/JSTARS.2025.3553085
1 citations as recorded by crossref.
Latest update: 29 Jun 2025
Short summary
Microwave satellites can be used to monitor how vegetation biomass changes over time or how droughts affect the world's forests. However, such satellite data are still difficult to validate and interpret because of a lack of comparable field observations. Here, we present a remote sensing technique that uses the Global Navigation Satellite System (GNSS) as a makeshift radar, making it possible to observe canopy transmissivity at any existing environmental research site in a cost-efficient way.
Microwave satellites can be used to monitor how vegetation biomass changes over time or how...
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