Plant water status provides an integrative measure of vegetation response to soil moisture and atmospheric demand, forming a critical link within the soil–plant–atmosphere continuum. While traditional approaches rely on soil moisture and meteorological observations, plant-based measurements such as stem water potential, sap flow, dendrometers, and canopy temperature capture physiological responses to water stress. Complementary proximal and remote sensing observations, including canopy temperature, vegetation structure, and spectral indices, provide opportunities to extend plant-level information beyond point scales and strengthen connections between plant responses and hydrological processes across larger spatial domains. However, challenges remain in integrating multi-sensor datasets, scaling plant-level observations while preserving physiological relevance, and linking plant responses to hydrological processes. This session invites contributions on in situ plant-based measurements, integration of plant, soil, atmospheric, and sensing observations, scaling plant signals across spatial domains, and linking plant responses to hydrological processes for modeling, drought monitoring, and water management.