Microwave remote sensing for improved understanding of vegetation–water interactions (BG/HESS inter-journal SI)(BG/HESS inter-journal SI)
Microwave remote sensing for improved understanding of vegetation–water interactions (BG/HESS inter-journal SI)(BG/HESS inter-journal SI)
Editor(s): Matthias Forkel, Genevieve Ali, Jean-Christophe Calvet, Tim van Emmerik, Julia K. Green, and Mariette Vreugdenhil Special issue jointly organized between Biogeosciences and Hydrology and Earth System Sciences
Remote sensing observations in the microwave frequencies have been intensively used to map and investigate water dynamics at the land surface. Microwave observations are also increasingly used to observe changes in vegetation structure and function and to study interactions between water and vegetation. For example, microwave observables such as brightness temperature, radar backscatter, polarization, SAR interferometry, GNSS reflectometry, and variables retrieved from them such as vegetation optical depth and soil moisture allow one to map ecosystem states. All these variables can be used to study processes, states, and temporal changes in vegetation–water interactions such as in vegetation phenology, canopy structure, biomass, photosynthesis, evapotranspiration, interception, dew formation, vegetation water content, water stress, surface and root-zone soil moisture, and irrigation.

The special issue aims to advance our understanding on existing and new techniques, methods, and applications of microwave remote sensing for vegetation–water interactions. We welcome studies that use active or passive microwave satellite, airborne, tower, and field observations to monitor processes, states, and temporal dynamics of vegetation–water interactions by

  1. developing and evaluating microwave radiative transfer models for vegetation and water;
  2. retrieving land surface variables through radiative transfer model inversion, machine learning, or hybrid approaches;
  3. evaluating and constraining land surface, ecosystem, crop, forest, and hydrological models with microwave observations; and
  4. assessing field experiments on the impacts of plant water dynamics on microwave observations.
This special issue is an outcome of sessions BG3.20 (Global Earth observation for improved understanding of terrestrial ecosystem dynamics) and HS6.4 (Remote sensing of interactions between vegetation and hydrology) held at the General Assembly 2020 of the European Geoscience Union and of the related precursor sessions in previous years. However, the special issue is open for all submissions within its scope.

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16 May 2023
Continuous ground monitoring of vegetation optical depth and water content with GPS signals
Vincent Humphrey and Christian Frankenberg
Biogeosciences, 20, 1789–1811, https://doi.org/10.5194/bg-20-1789-2023,https://doi.org/10.5194/bg-20-1789-2023, 2023
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16 Mar 2023
Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties
Luisa Schmidt, Matthias Forkel, Ruxandra-Maria Zotta, Samuel Scherrer, Wouter A. Dorigo, Alexander Kuhn-Régnier, Robin van der Schalie, and Marta Yebra
Biogeosciences, 20, 1027–1046, https://doi.org/10.5194/bg-20-1027-2023,https://doi.org/10.5194/bg-20-1027-2023, 2023
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30 Jan 2023
A robust gap-filling approach for European Space Agency Climate Change Initiative (ESA CCI) soil moisture integrating satellite observations, model-driven knowledge, and spatiotemporal machine learning
Kai Liu, Xueke Li, Shudong Wang, and Hongyan Zhang
Hydrol. Earth Syst. Sci., 27, 577–598, https://doi.org/10.5194/hess-27-577-2023,https://doi.org/10.5194/hess-27-577-2023, 2023
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02 Jan 2023
Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth
Matthias Forkel, Luisa Schmidt, Ruxandra-Maria Zotta, Wouter Dorigo, and Marta Yebra
Hydrol. Earth Syst. Sci., 27, 39–68, https://doi.org/10.5194/hess-27-39-2023,https://doi.org/10.5194/hess-27-39-2023, 2023
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09 Dec 2022
Observed water and light limitation across global ecosystems
François Jonard, Andrew F. Feldman, Daniel J. Short Gianotti, and Dara Entekhabi
Biogeosciences, 19, 5575–5590, https://doi.org/10.5194/bg-19-5575-2022,https://doi.org/10.5194/bg-19-5575-2022, 2022
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07 Nov 2022
Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI)
Leander Moesinger, Ruxandra-Maria Zotta, Robin van der Schalie, Tracy Scanlon, Richard de Jeu, and Wouter Dorigo
Biogeosciences, 19, 5107–5123, https://doi.org/10.5194/bg-19-5107-2022,https://doi.org/10.5194/bg-19-5107-2022, 2022
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13 Jul 2022
Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta
Robin van der Schalie, Mendy van der Vliet, Clément Albergel, Wouter Dorigo, Piotr Wolski, and Richard de Jeu
Hydrol. Earth Syst. Sci., 26, 3611–3627, https://doi.org/10.5194/hess-26-3611-2022,https://doi.org/10.5194/hess-26-3611-2022, 2022
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15 Jun 2022
| Highlight paper
The influence of vegetation water dynamics on the ASCAT backscatter–incidence angle relationship in the Amazon
Ashwini Petchiappan, Susan C. Steele-Dunne, Mariette Vreugdenhil, Sebastian Hahn, Wolfgang Wagner, and Rafael Oliveira
Hydrol. Earth Syst. Sci., 26, 2997–3019, https://doi.org/10.5194/hess-26-2997-2022,https://doi.org/10.5194/hess-26-2997-2022, 2022
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19 May 2022
Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA
Anthony Mucia, Bertrand Bonan, Clément Albergel, Yongjun Zheng, and Jean-Christophe Calvet
Biogeosciences, 19, 2557–2581, https://doi.org/10.5194/bg-19-2557-2022,https://doi.org/10.5194/bg-19-2557-2022, 2022
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29 Apr 2022
Soil moisture estimation in South Asia via assimilation of SMAP retrievals
Jawairia A. Ahmad, Barton A. Forman, and Sujay V. Kumar
Hydrol. Earth Syst. Sci., 26, 2221–2243, https://doi.org/10.5194/hess-26-2221-2022,https://doi.org/10.5194/hess-26-2221-2022, 2022
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28 Apr 2022
Toward estimation of seasonal water dynamics of winter wheat from ground-based L-band radiometry: a concept study
Thomas Jagdhuber, François Jonard, Anke Fluhrer, David Chaparro, Martin J. Baur, Thomas Meyer, and María Piles
Biogeosciences, 19, 2273–2294, https://doi.org/10.5194/bg-19-2273-2022,https://doi.org/10.5194/bg-19-2273-2022, 2022
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04 Mar 2022
Extrapolating continuous vegetation water content to understand sub-daily backscatter variations
Paul C. Vermunt, Susan C. Steele-Dunne, Saeed Khabbazan, Jasmeet Judge, and Nick C. van de Giesen
Hydrol. Earth Syst. Sci., 26, 1223–1241, https://doi.org/10.5194/hess-26-1223-2022,https://doi.org/10.5194/hess-26-1223-2022, 2022
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04 Jun 2021
Impact of temperature and water availability on microwave-derived gross primary production
Irene E. Teubner, Matthias Forkel, Benjamin Wild, Leander Mösinger, and Wouter Dorigo
Biogeosciences, 18, 3285–3308, https://doi.org/10.5194/bg-18-3285-2021,https://doi.org/10.5194/bg-18-3285-2021, 2021
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10 May 2021
Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion
Yanlan Liu, Nataniel M. Holtzman, and Alexandra G. Konings
Hydrol. Earth Syst. Sci., 25, 2399–2417, https://doi.org/10.5194/hess-25-2399-2021,https://doi.org/10.5194/hess-25-2399-2021, 2021
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05 Feb 2021
Patterns of plant rehydration and growth following pulses of soil moisture availability
Andrew F. Feldman, Daniel J. Short Gianotti, Alexandra G. Konings, Pierre Gentine, and Dara Entekhabi
Biogeosciences, 18, 831–847, https://doi.org/10.5194/bg-18-831-2021,https://doi.org/10.5194/bg-18-831-2021, 2021
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01 Feb 2021
L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand
Nataniel M. Holtzman, Leander D. L. Anderegg, Simon Kraatz, Alex Mavrovic, Oliver Sonnentag, Christoforos Pappas, Michael H. Cosh, Alexandre Langlois, Tarendra Lakhankar, Derek Tesser, Nicholas Steiner, Andreas Colliander, Alexandre Roy, and Alexandra G. Konings
Biogeosciences, 18, 739–753, https://doi.org/10.5194/bg-18-739-2021,https://doi.org/10.5194/bg-18-739-2021, 2021
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