Articles | Volume 18, issue 2
https://doi.org/10.5194/bg-18-739-2021
© Author(s) 2021. 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-18-739-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Feb 2021
Research article |
| 01 Feb 2021
| 01 Feb 2021
L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand
Nataniel M. Holtzman
CORRESPONDING AUTHOR
Department of Earth System Science, Stanford University, Stanford, CA 94305, USA
Leander D. L. Anderegg
Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, USA
Simon Kraatz
Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
Alex Mavrovic
Département des Sciences de l'Environnement, Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, Quebec, Canada
Oliver Sonnentag
Département de géographie, Université de Montréal, Montréal, Quebec, H2V 2B8, Canada
Christoforos Pappas
Département de géographie, Université de Montréal, Montréal, Quebec, H2V 2B8, Canada
Michael H. Cosh
Hydrology and Remote Sensing Laboratory, USDA ARS, Beltsville, MD, USA
Alexandre Langlois
Département de Géomatique Appliquée, Université de Sherbrooke, Sherbrooke, Quebec, Canada
Tarendra Lakhankar
NOAA-CESSRST, The City College of New York, City University of New York, New York, NY, USA
Derek Tesser
NOAA-CESSRST, The City College of New York, City University of New York, New York, NY, USA
Nicholas Steiner
Department of Earth and Atmospheric Sciences, The City College of New York, City University of New York, New York, NY, USA
Andreas Colliander
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Alexandre Roy
Département des Sciences de l'Environnement, Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, Quebec, Canada
Alexandra G. Konings
CORRESPONDING AUTHOR
Department of Earth System Science, Stanford University, Stanford, CA 94305, USA
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36 citations as recorded by crossref.
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- Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements G. Chen et al. 10.1080/17538947.2024.2334305
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36 citations as recorded by crossref.
- A new empirical framework to quantify the hydraulic effects of soil and atmospheric drivers on plant water status M. Mencuccini et al. 10.1111/gcb.17222
- Physiological mechanisms of cross-stress and memory in soybean plants subjected to water deficit and waterlogging A. Bester et al. 10.1016/j.envexpbot.2024.105749
- Accounting for Deciduous Forest Structure and Viewing Geometry Effects Improves Sentinel-1 Time Series Image Consistency M. Zehner et al. 10.1109/TGRS.2023.3310113
- Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements G. Chen et al. 10.1080/17538947.2024.2334305
- Confronting the water potential information gap K. Novick et al. 10.1038/s41561-022-00909-2
- The Ecosystem as Super-Organ/ism, Revisited: Scaling Hydraulics to Forests under Climate Change J. Wood et al. 10.1093/icb/icae073
- L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review Z. Ye et al. 10.3390/plants13172511
- Low baseline intraspecific variation in leaf pressure‐volume traits: Biophysical basis and implications for spectroscopic sensing M. Browne et al. 10.1111/ppl.13974
- Remote Sensing of Instantaneous Drought Stress at Canopy Level Using Sun-Induced Chlorophyll Fluorescence and Canopy Reflectance S. De Cannière et al. 10.3390/rs14112642
- Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy D. Chaparro et al. 10.1016/j.rse.2024.113993
- Reliability of using vegetation optical depth for estimating decadal and interannual carbon dynamics Y. Dou et al. 10.1016/j.rse.2022.113390
- Toward estimation of seasonal water dynamics of winter wheat from ground-based L-band radiometry: a concept study T. Jagdhuber et al. 10.5194/bg-19-2273-2022
- Robustness of Vegetation Optical Depth Retrievals Based on L-Band Global Radiometry D. Chaparro et al. 10.1109/TGRS.2022.3201581
- Validation of Soil Moisture Data Products From the NASA SMAP Mission A. Colliander et al. 10.1109/JSTARS.2021.3124743
- Mapping and Scaling of In Situ Above Ground Biomass to Regional Extent With SAR in the Great Slave Region S. Kraatz et al. 10.1029/2022EA002431
- Combining Microwave and Optical Remote Sensing to Characterize Global Vegetation Water Status X. Wang et al. 10.1109/TGRS.2023.3294948
- Soil dielectric characterization during freeze–thaw transitions using L-band coaxial and soil moisture probes A. Mavrovic et al. 10.5194/hess-25-1117-2021
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- Time-variations of zeroth-order vegetation absorption and scattering at L-band M. Baur et al. 10.1016/j.rse.2021.112726
- Continuous ground monitoring of vegetation optical depth and water content with GPS signals V. Humphrey & C. Frankenberg 10.5194/bg-20-1789-2023
- PSInet: a new global water potential network A. Restrepo-Acevedo et al. 10.1093/treephys/tpae110
- Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals A. Feldman et al. 10.1109/JSTARS.2021.3124857
- Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion Y. Liu et al. 10.5194/hess-25-2399-2021
- When do plant hydraulics matter in terrestrial biosphere modelling? A. Paschalis et al. 10.1111/gcb.17022
- Water deficit and storm disturbances co-regulate Amazon rainforest seasonality X. Lian et al. 10.1126/sciadv.adk5861
- 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
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- Calibration of the SMAP Soil Moisture Retrieval Algorithm to Reduce Bias Over the Amazon Rainforest K. Cho et al. 10.1109/JSTARS.2024.3388914
- Potential of Sentinel-1 SAR to Assess Damage in Drought-Affected Temperate Deciduous Broadleaf Forests K. Schellenberg et al. 10.3390/rs15041004
- Forest Canopy Water Content Monitoring Using Radiative Transfer Models and Machine Learning L. Liu et al. 10.3390/f14071418
- Toward a More Robust Estimation of Forest Biomass Carbon Stock and Carbon Sink in Mountainous Region: A Case Study in Tibet, China G. Lyu et al. 10.3390/rs16091481
- The xylem of anisohydric Quercus alba L. is more vulnerable to embolism than isohydric codominants M. Benson et al. 10.1111/pce.14244
- Remote Radio-Physical Harbingers of Drought in Steppes of the South of Western Siberia A. Romanov et al. 10.3390/rs14236141
- Comparing Model Representations of Physiological Limits on Transpiration at a Semi‐Arid Ponderosa Pine Site L. Hawkins et al. 10.1029/2021MS002927
- A UGV-Based Forest Vegetation Optical Depth Mapping Using GNSS Signals A. Ghosh et al. 10.1109/JSTARS.2024.3365798
- Detecting forest response to droughts with global observations of vegetation water content A. Konings et al. 10.1111/gcb.15872
Latest update: 20 Nov 2024
Short summary
Microwave radiation coming from Earth's land surface is affected by both soil moisture and the water in plants that cover the soil. We measured such radiation with a sensor elevated above a forest canopy while repeatedly measuring the amount of water stored in trees at the same location. Changes in the microwave signal over time were closely related to tree water storage changes. Satellites with similar sensors could thus be used to monitor how trees in an entire region respond to drought.
Microwave radiation coming from Earth's land surface is affected by both soil moisture and the...
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