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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Cited
28 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.
- PSInet: a new global water potential network A. Restrepo-Acevedo et al.
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al.
- The intricacies of vegetation responses to changing moisture conditions J. Green
- Retrieval of ground, snow, and forest parameters from space borne passive L band observations. A case study over Sodankylä, Finland M. Holmberg et al.
- Advancing global vegetation water content observations: the potential of Moon-based SAR for ecological risk assessment Y. Geng et al.
- The pulse of global vegetation: do individual rainfall events create a lasting imprint on photosynthesis? A. Feldman
- On the real-time tropospheric delay estimates using low-cost GNSS receivers and antennas L. Li et al.
- Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment H. Ma et al.
- The Ecosystem as Super-Organ/ism, Revisited: Scaling Hydraulics to Forests under Climate Change J. Wood et al.
- Estimation of Forest Water Potential From Ground-Based L-Band Radiometry T. Jagdhuber et al.
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology Z. Pierrat et al.
- An Improved Model for Wheat Volumetric Water Content Estimation Using GNSS Refractometry Y. Li et al.
- A Semantic Segmentation-Based GNSS Signal Occlusion Detection and Optimization Method Z. Yue et al.
- 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.
- A Forward Model and Inversion Algorithm for Near-Surface Soil Moisture Estimation With GNSS Refraction Pattern Technique Y. Li et al.
- Sap flow monitoring in environmental research networks: lessons learned from SAPFLUXNET and challenges for the future R. Poyatos et al.
- A Novel Large Vision Foundation Model-Based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management S. Tan et al.
- Agriculture in silico: Perspectives on radiative transfer optimization using vegetation modeling Y. Wang & Y. Yin
- A review of forward modelling and retrieval approaches for forest soil moisture and vegetation optical depth using L-band radiometry A. Colliander et al.
- A Probabilistic STA-Bayesian Algorithm for GNSS-R Retrieval of Arctic Soil Freeze–Thaw States X. Meng et al.
- Separating Water-Level Variations and Phenological Changes in Rice Paddies: Integrating SAR with Ground-Based GNSS-IR Observations D. Kobayashi et al.
- Divergence between in situ and satellite-based estimates of forest canopy water content J. Kesselring et al.
- Estimating Vegetation Optical Depth With Mobile GNSS Transmissiometry in Temperate Forests During SMAPVEX22 A. Ghosh et al.
- Using GNSS-based vegetation optical depth, tree sway motion, and eddy covariance to examine evaporation of canopy-intercepted rainfall in a subalpine forest S. Burns et al.
- Deep Learning Framework for High-Resolution Large-Scale Vegetation Optical Depth Mapping Using Airborne LiDAR and Mobile GNSS-T Data A. Ghosh et al.
- A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals A. Ghosh et al.
- Deciphering tree drought responses across species: linking leaf water potentials with remote sensing greenness and photoprotection dynamics P. D’Odorico et al.
28 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.
- PSInet: a new global water potential network A. Restrepo-Acevedo et al.
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al.
- The intricacies of vegetation responses to changing moisture conditions J. Green
- Retrieval of ground, snow, and forest parameters from space borne passive L band observations. A case study over Sodankylä, Finland M. Holmberg et al.
- Advancing global vegetation water content observations: the potential of Moon-based SAR for ecological risk assessment Y. Geng et al.
- The pulse of global vegetation: do individual rainfall events create a lasting imprint on photosynthesis? A. Feldman
- On the real-time tropospheric delay estimates using low-cost GNSS receivers and antennas L. Li et al.
- Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment H. Ma et al.
- The Ecosystem as Super-Organ/ism, Revisited: Scaling Hydraulics to Forests under Climate Change J. Wood et al.
- Estimation of Forest Water Potential From Ground-Based L-Band Radiometry T. Jagdhuber et al.
- Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology Z. Pierrat et al.
- An Improved Model for Wheat Volumetric Water Content Estimation Using GNSS Refractometry Y. Li et al.
- A Semantic Segmentation-Based GNSS Signal Occlusion Detection and Optimization Method Z. Yue et al.
- 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.
- A Forward Model and Inversion Algorithm for Near-Surface Soil Moisture Estimation With GNSS Refraction Pattern Technique Y. Li et al.
- Sap flow monitoring in environmental research networks: lessons learned from SAPFLUXNET and challenges for the future R. Poyatos et al.
- A Novel Large Vision Foundation Model-Based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management S. Tan et al.
- Agriculture in silico: Perspectives on radiative transfer optimization using vegetation modeling Y. Wang & Y. Yin
- A review of forward modelling and retrieval approaches for forest soil moisture and vegetation optical depth using L-band radiometry A. Colliander et al.
- A Probabilistic STA-Bayesian Algorithm for GNSS-R Retrieval of Arctic Soil Freeze–Thaw States X. Meng et al.
- Separating Water-Level Variations and Phenological Changes in Rice Paddies: Integrating SAR with Ground-Based GNSS-IR Observations D. Kobayashi et al.
- Divergence between in situ and satellite-based estimates of forest canopy water content J. Kesselring et al.
- Estimating Vegetation Optical Depth With Mobile GNSS Transmissiometry in Temperate Forests During SMAPVEX22 A. Ghosh et al.
- Using GNSS-based vegetation optical depth, tree sway motion, and eddy covariance to examine evaporation of canopy-intercepted rainfall in a subalpine forest S. Burns et al.
- Deep Learning Framework for High-Resolution Large-Scale Vegetation Optical Depth Mapping Using Airborne LiDAR and Mobile GNSS-T Data A. Ghosh et al.
- A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals A. Ghosh et al.
- Deciphering tree drought responses across species: linking leaf water potentials with remote sensing greenness and photoprotection dynamics P. D’Odorico et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
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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