Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …

The African continent hosts some of the largest freshwater systems worldwide, characterized
by a large distribution and variability of surface waters that play a key role in the water …

Wetlands are valuable natural resources that provide many benefits to the environment.
Therefore, mapping wetlands is crucially important. Several review papers on remote …

As the largest river basin on Earth, the Amazon is of major importance to the world's climate
and water resources. Over the past decades, advances in satellite‐based remote sensing …

Efforts are increasingly being made to classify the world's wetland resources, an important
ecosystem and habitat that is diminishing in abundance. There are multiple remote sensing …

Flooding is one of the most destructive natural hazards that cause damage to both life and
property every year, and therefore the development of flood model to determine inundation …

Surface fresh water is essential for life, yet we have surprisingly poor knowledge of the
spatial and temporal dynamics of surface freshwater discharge and changes in storage …

Hyper-resolution datasets for urban flooding are rare. This problem prevents detailed
flooding risk analysis, urban flooding control, and the validation of hyper-resolution …

Flash floods are considered to be one of the worst weather-related natural disasters. They
are dangerous because they are sudden and are highly unpredictable following brief spells …

The growing availability of multi‐temporal satellite data has increased opportunities for
monitoring large rivers from space. A variety of passive and active sensors operating in the …