| Summary: | Contemporary atmospheric temperature rise imposes profound physical changes to high- elevation mountain environments. These changes, by directly affecting the mountain cryosphere through glacier retreat and permafrost degradation, can alter the hydrologic regime of mountain drainage basins (Huggel et al., 2015), as well as the amount and caliber of sediment readily available for mass movements and fluvial transport. Although sediment supply exerts a primary control on channel stability and relevant geo-hazard potential, there is a general lack of standard procedures for characterizing sediment sources, sediment typology and for evaluating sediment availability. This gap, which is mainly associated with the variety of existing national and regional protocols of data collection, currently prevents pursuing an unbiased, transnational risk management strategy considering current climatic challenges. SedInOut, through a joint international effort, aims to develop methodologies for the quantification and characterization of sediment across representative pilot catchments, towards a sustainable land management that values geo-risk mitigation and sediment recycling. In this report, we present a methodological approach that relies on existing geological mapping (CARG project), high-resolution digital topography, and historical aerial photos and orthophoto mosaics, while integrating field-based and proximal sensing data in conjunction with multi- temporal, remotely based mapping (Figure 1).Remotely sensed procedures include multi- temporal mapping of glacier extent (Section 3.1.1), Quaternary materials (e.g., bedrock, glacial till, talus debris, colluvium, and alluvium) (Section 3.1.2), the drainage network (Section 3.1.3) and rapid shallow failures (i.e., sediment sources including debris slides, debris flows and bank collapses) (Section 3.1.4). Field-based and proximal sensing data include measurements on shallow landslide geometry (Section 3.2.1), and characterization of surface (i.e., manual Wolman pebble count and ...
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