The study provides preliminary evidence that estimating forest VWC is feasible using tomographic L-band radar platforms. These findings suggest that future spaceborne missions may require vertical separation of canopy and ground backscatter (through tomography or interferometry) and subdaily revisit times to effectively capture diurnal water dynamics in forests.

The MHR method provides a more versatile tool for researchers studying forest hydrology. It is ideal for: Fast-growing species that move water rapidly. High-latitude or high-altitude forests where freeze-thaw cycles frequently disrupt standard sensor readings. Low-power, remote monitoring, as the algorithm is easy to implement in standard data loggers without significantly increasing energy. consumption. In short, this method provides a "best of both worlds" solution for measuring tree water use across a much wider range of environmental conditions and species.

In this study we highlight that drought response in boreal forests is not a "one-size-fits-all" phenomenon. Instead, it is driven by a complex, codependent interaction between biological traits (species and size) and the physical environment (topography). These insights are critical for predicting how northern forests will respond to the increasing frequency of extreme climate events.

In this study we aimed to identify "critical wood temperatures" at which the most sap flow occurs, as this process is vital for both embolism repair and syrup production. We speculate that sap flow is strongly influenced by liquid-to-solid and solid-to-liquid phase changes. Freezing exotherms and thawing endotherms—where volume changes but temperature remains constant—likely explain why flow was highest when temperatures were not changing.

Monteith, et al estimate tree water content using exclusively radar attenuation and backscatter

Talvinen et al, assess the role between tree transpiration, and cloud formation

Gutierrez Lopez, et al, study how to estimate tree water content from thermal properties and water dielectric