Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …

The water cycle is the most essential supporting physical mechanism ensuring the existence
of life on Earth. Its components encompass the atmosphere, land, and oceans. The cycle is …

Hydrological model calibration combining Earth observations and in situ measurements is a
promising solution to overcome the limitations of the traditional streamflow‐only calibration …

Flood prediction has advanced significantly in terms of technique and capacity to achieve
policymakers' objectives of accurate forecast and identification of flood-prone and impacted …

Groundwater plays a vital role in the development of ecological niches, the durability of the
environment, and the socio-economic growth of an area. To meet the demand for …

Big data analytics (BDA) is a novel concept focusing on leveraging large volumes of
heterogeneous data through advanced analytics to drive information discovery. This paper …

Remote sensing technology has the potential to enhance the lake's large-scale and long-
term dynamic monitoring capabilities significantly. High-quality in-situ datasets are essential …

Big Data is on the verge of explosion in terms of popularity in recent decades, and such a
trend is not going to stop anytime soon as it has a lot of room to grow. The increased …

For many years, spectral remote sensing has been essential for research on the Earth's
surface. The data from a single satellite sensor is sometimes insufficient to fulfil the …

Temporally continuous daily actual evapotranspiration (ET) data play a critical role in water
resource management in arid areas. As a typical remotely sensed land surface temperature …