Abstract Water status, water dynamics, and ecohydrological resilience of a protected German beech forest during the 2018–2020 multi‐year drought are assessed using over six years of multi‐frequency remote sensing data, integrating active, passive, and optical sensors with varying canopy penetration depths, highlighting the importance of monitoring forests under extreme conditions. In this study, we investigate Sentinel‐1 C‐band backscatter (S‐1 γ 0 ) and the relative water content estimated from vegetation optical depth (RWC VOD ) of AMSR2 (X‐ and C‐bands) and SMAP (L‐band) within the soil‐plant‐atmosphere system (SPAS). In addition, time series are intercompared and examined through correlation and sensitivity analyses applying tailored environmental and newly developed hydrological selection strategies. Our results show that S‐1 γ VH is most influenced by leaf area index and thus leaf biomass when sensed during dense vegetation (leaf‐on), no‐frost, and very wet conditions ( r = −0.94). In contrast, during sparse vegetation (leaf‐off), no‐frost, stable dry‐down, and extremely dry conditions, S‐1 γ VH is very sensitive to topsoil moisture ( r = 0.91). Due to increased microwave attenuation, resulting in reduced S‐1 γ VH backscatter, an anti‐cyclical behavior (negative correlations) is observed between almost all SPAS‐based variables/proxies and S‐1 γ VH during leaf‐on conditions. Conversely, this reverses to a cyclical behavior (positive correlations) during leaf‐off conditions. Our results reveal that X‐ and C‐band RWC VOD effectively detect drought onset by capturing fast water content changes in leaves and twigs of the top canopy due to shallow sensing depth, while L‐band RWC VOD captures legacy effects after repetitive droughts through slower water content changes in branches and trunks of lower tree compartments.
Hellwig et al. (Thu,) studied this question.
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