Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …

The Earth's climate is largely determined by its energy budget. Since the 1960s, satellite
remote sensing has been used in estimating these energy budget components at both the …

Having recognized the limitations in spatial representativeness and/or temporal coverage of
(i) current ground ETa observations and (ii) land surface model‐and remote sensing‐based …

Land evaporation (ET) plays a crucial role in the hydrological and energy cycle. However,
the widely used model-based products, even though helpful, are still subject to great …

Difficulties are faced when formulating hydrological processes, including that of
evapotranspiration (ET). Conventional empirical methods for formulating these possess …

Satellite remote sensing (RS) data are increasingly being used to estimate total evaporation,
often referred to as evapotranspiration (ET), over large regions. Since RS-based ET (RS-ET) …

Although comprehensive evaluation of different types of global terrestrial evapotranspiration
(ET) products has been conducted, the satellite remote sensing techniques have prompted …

Remotely sensed evapotranspiration (ET) with high spatial and temporal resolution is
frequently required to understand the regional hydrological processes, particularly in …

Terrestrial evapotranspiration (ET) is a key process in the water, energy, and carbon cycles.
ET products are becoming more widely accessible with the development of remotely sensed …

A digital twin basin serves as a virtual representation of a physical basin, enabling
synchronous simulation, virtual–real interaction, and iterative optimization. The construction …