Modality is a source or form of information. Through various modal information, humans can
perceive the world from multiple perspectives. Simultaneously, the observation of remote …

Remote sensing of river discharge (RSQ) is a burgeoning field rife with innovation. This
innovation has resulted in a highly non-cohesive subfield of hydrology advancing at a rapid …

This study aims at providing expertise for preparing public-based flood mapping and
estimating flood risks in growing urban areas. To model and predict the magnitude of flood …

Accurate representation of the real spatio-temporal variability of catchment rainfall inputs is
currently severely limited. Moreover, spatially interpolated catchment precipitation is subject …

A flood forecasting system commonly consists of at least two essential components, that is, a
numerical weather prediction (NWP) model to provide rainfall forecasts and a …

Flood inundation maps provide valuable information towards flood risk preparedness,
management, communication, response, and mitigation at the time of disaster, and can be …

The objective of this study is to quantitatively evaluate the successive Tropical Rainfall
Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products and …

Snow and glacier melting and accumulation are important processes of the hydrological
cycle in the cryosphere, eg, high‐mountain areas. Glaciers and snow cover respond to …

ABSTRACT Klemas, V., 2015. Remote sensing of floods and flood-prone areas: An
overview. River floods and coastal storm surges affect the lives of more people than most …

The Ganga-Brahmaputra basin is highly sensitive to the impacts of climate change and
experiences recurrent flooding, which affects large agricultural areas and poses a high risk …