Influence of surface water variations on VOD and biomass estimates from passive microwave sensors
- 1Centre d’Etudes Spatiales de la Biosphère (CESBIO), Université de Toulouse (CNES/CNRS/INRAE/IRD/UPS), 18 av. Edouard Belin, bpi 2801, 31401 Toulouse CEDEX 9, France. (emma.bousquet@cesbio.cnes.fr)
- 2CNRS, Sorbonne Université, Observatoire de Paris, Université PSL, LERMA, 61 avenue de l’Observatoire, 75014 Paris, France.
- 3GeoProcessing Division, Foundation for Science, Technology and Space Applications—FUNCATE, São José dos Campos SP 12210-131, Brazil.
Vegetation optical depth (VOD) is a remotely sensed indicator characterizing the attenuation of the Earth's thermal emission at microwave wavelengths by the vegetation layer. At L-band, VOD can be used to estimate and monitor aboveground biomass (AGB), a key component of the Earth's surface and of the carbon cycle. We observed a strong anti-correlation between SMOS (Soil Moisture and Ocean Salinity) L-band VOD (L-VOD) and soil moisture (SM) anomalies over seasonally inundated areas, confirming previous observations of an unexpected decline in K-band VOD during flooding (Jones et al., 2011). These results could be, at least partially, due to artefacts affecting the retrieval and could lead to uncertainties on the derived L-VOD during flooding. To study the behaviour of SMOS satellite L-VOD retrieval algorithm over seasonally inundated areas, the passive microwave L-MEB (L-band Microwave Emission of the Biosphere) model was used to simulate the signal emitted by a mixed scene composed of soil and standing water. The retrieval over this inundated area shows an overestimation of SM and an underestimation of L-VOD. This underestimation increases non-linearly with the surface water fraction. The phenomenon is more pronounced over grasslands than over forests. The retrieved L-VOD is typically underestimated by ~10% over flooded forests and up to 100% over flooded grasslands. This is mainly due to the fact that i) low vegetation is mostly submerged under water and becomes invisible to the sensor; and ii) more standing water is seen by the sensor. Such effects can distort the analysis of aboveground biomass (AGB) and aboveground carbon (AGC) estimates and dynamics based on L-VOD. Using the L-VOD/AGB relationship from Rodriguez-Fernandez et al. (2018), we evaluated that AGB can be underestimated by 15/20Mg ha-1 in the largest wetlands, and up to higher values during exceptional meteorological years. Such values are more significant over herbaceous wetlands, where AGB is ~30 Mg ha-1, than over flooded forests, which have typical AGB values of 150-300 Mg ha-1. Consequently, to better estimate the global biomass, surface water seasonality has to be taken into account in passive microwave retrieval algorithms.
How to cite: Bousquet, E., Mialon, A., Rodriguez-Fernandez, N., Prigent, C., Wagner, F., and Kerr, Y.: Influence of surface water variations on VOD and biomass estimates from passive microwave sensors, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-5786, https://doi.org/10.5194/egusphere-egu21-5786, 2021.