Identification and Classification of Non-Perennial Rivers Using Integrated Remote Sensing and Hydrological Modeling Approaches

Mapping and understanding the hydrological dynamics of non-perennial rivers (NPRs) is critical for their conservation and management, yet current methodologies often fail to capture the spatial and temporal complexities of flow intermittency and dry riverbed extension. Leveraging advancements in satellite remote sensing, the RIVERTEMP Erasmus+ project develops an innovative web platform that analyzes Sentinel-2 multispectral imagery to classify NPR hydrological conditions. These data allow for the analysis of rivers with an active channel width larger than 40 m and not covered by vegetation. Through the visual interpretation of false-color images, derived from the SWIR, NIR, and RED bands, the platform allows users to identify the hydrological condition of the river, distinguishing between three main hydrological condition a NPR.