2014
DOI: 10.1007/s11368-014-0925-1
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Spectral fingerprinting: sediment source discrimination and contribution modelling of artificial mixtures based on VNIR-SWIR spectral properties

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Cited by 60 publications
(50 citation statements)
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“…Finally, traditional sediment fingerprinting approaches based on geochemical analysis techniques are very time-and cost-consuming, limiting the use of the technique at a high temporal resolution (Brosinsky et al, 2014a;Cooper et al, 2014a;Poulenard et al, 2012). Recently, studies have demonstrated the promise of spectral reflectance-based (visible and (near) infrared) fingerprinting methods as a quicker and less costly alternative for sediment source apportionment, with considerable potential to expand the temporal resolution of sediment fingerprinting analyses during high-flow events (e.g.…”
Section: Methodological Challengesmentioning
confidence: 99%
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“…Finally, traditional sediment fingerprinting approaches based on geochemical analysis techniques are very time-and cost-consuming, limiting the use of the technique at a high temporal resolution (Brosinsky et al, 2014a;Cooper et al, 2014a;Poulenard et al, 2012). Recently, studies have demonstrated the promise of spectral reflectance-based (visible and (near) infrared) fingerprinting methods as a quicker and less costly alternative for sediment source apportionment, with considerable potential to expand the temporal resolution of sediment fingerprinting analyses during high-flow events (e.g.…”
Section: Methodological Challengesmentioning
confidence: 99%
“…Secondly, the amount of sediment reaching the channel depends mainly on the catchment connectivity (Brosinsky et al, 2014a;Sear et al, 2003). Fryirs (2013) developed a conceptual framework, describing catchment connectivity in terms of three different types of linkages (longitudinal, lateral and vertical) and three types of blockages (buffers, barriers and blankets).…”
Section: Sediment Generation and Transport Towards The Rivermentioning
confidence: 99%
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“…To maximize the ease of reusability of the data, we have created a database following the CUAHSI HIS standard proposed by the Consortium of Universities for the Advancement of Hydrologic Science (Couch et al, 2014;Horsburgh et al, 2008).…”
Section: Data Availabilitymentioning
confidence: 99%
“…Francke et al, 2014;López-Tarazón et al, 2012;López-Tarazón and Batalla, 2014). Sediment connectivity for two sub-catchments of the Isábena basin was analysed based 20 on digital elevation models obtained from airborne LiDAR data and surface cover fractions obtained from airborne hyperspectral imagery , while sediment origins were traced back by spectral fingerprinting based on measured spectra of suspended sediment samples and soil samples of potential sediment sources (Brosinsky et al, 2014a(Brosinsky et al, , 2014b. Furthermore, for the process-based, spatially semi-distributed model WASA-SED developed for water and sediment transport in dryland catchments (Mueller et al, 2010;Bronstert et al, 2014), a framework for studying the effect of model 25 enhancements by, e.g., a higher number of meteorological monitoring stations, improved water and sediment calibration data, and modifications in process formulations, was tested in the Isábena study area based on parts of the dataset presented here.…”
mentioning
confidence: 99%