Spectral fingerprinting: characterizing suspended sediment sources by the use of VNIR-SWIR spectral information

被引:27
|
作者
Brosinsky, Arlena [1 ,2 ]
Foerster, Saskia [2 ]
Segl, Karl [2 ]
Andres Lopez-Tarazon, Jose [3 ,4 ]
Pique, Gemma [4 ,5 ]
Bronstert, Axel [1 ]
机构
[1] Univ Potsdam, Inst Earth & Environm Sci, D-14476 Potsdam, Germany
[2] GFZ German Res Ctr Geosci, Sect Remote SensingTelegrafenberg 1 4, D-14473 Potsdam, Germany
[3] Liverpool John Moores Univ, Sch Nat Sci & Psychol, Liverpool L3 3AF, Merseyside, England
[4] Univ Lleida, Dept Environm & Soil Sci, Fluvial Dynam Res Grp, Lleida 25198, Spain
[5] Catalan Inst Water Res, Girona 17003, Spain
关键词
Isabena river; Mixing models; Northeast Spain; Sediment fingerprinting; Spectroscopy; Suspended sediment; MOUNTAINOUS CATCHMENT; SPECTROMETRY; STORAGE; RUNOFF; MODELS;
D O I
10.1007/s11368-014-0927-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Knowledge of sediment sources is a prerequisite for sustainable management practices and may furthermore improve our understanding of water and sediment fluxes. Investigations have shown that a number of characteristic soil properties can be used as "fingerprints" to trace back the sources of river sediments. Spectral properties have recently been successfully used as such characteristics in fingerprinting studies. Despite being less labour-intensive than geochemical analyses, for example, spectroscopy allows measurements of small amounts of sediment material (> 60 mg), thus enabling inexpensive analyses even of intra-event variability. The focus of this study is on the examination of spectral properties of fluvial sediment samples to detect changes in source contributions, both between and within individual flood events. Sediment samples from the following three different origins were collected in the Isabena catchment (445 km(2)) in the central Spanish Pyrenees: (1) soil samples from the main potential source areas, (2) stored fine sediment from the channel bed once each season in 2011 and (3) suspended sediment samples during four flood events in autumn 2011 and spring 2012 at the catchment outlet as well as at several subcatchment outlets. All samples were dried and measured for spectral properties in the laboratory using an ASD spectroradiometer. Colour parameters and physically based features (e.g. organic carbon, iron oxide and clay content) were calculated from the spectra. Principal component analyses (PCA) were applied to all three types of samples to determine natural clustering of samples, and a mixing model was applied to determine source contributions. We found that fine sediment stored in the river bed seems to be mainly influenced by grain size and seasonal variability, while sampling location-and thus the effect of individual tributaries or subcatchments-seem to be of minor importance. Suspended sediment sources were found to vary between, as well as within, flood events; although badlands were always the major source. Forests and grasslands contributed little (< 10 %), and other sources (not further determinable) contributed up to 40 %. The analyses further suggested that sediment sources differ among the subcatchments and that subcatchments comprising relatively large proportions of badlands contributed most to the four flood events analyzed. Spectral fingerprints provide a rapid and cost-efficient alternative to conventional fingerprint properties. However, a combination of spectral and conventional fingerprint properties could potentially permit discrimination of a larger number of source types.
引用
收藏
页码:1965 / 1981
页数:17
相关论文
共 50 条
  • [1] Spectral fingerprinting: characterizing suspended sediment sources by the use of VNIR-SWIR spectral information
    Arlena Brosinsky
    Saskia Foerster
    Karl Segl
    José Andrés López-Tarazón
    Gemma Piqué
    Axel Bronstert
    [J]. Journal of Soils and Sediments, 2014, 14 : 1965 - 1981
  • [2] Spectral fingerprinting: sediment source discrimination and contribution modelling of artificial mixtures based on VNIR-SWIR spectral properties
    Arlena Brosinsky
    Saskia Foerster
    Karl Segl
    Hermann Kaufmann
    [J]. Journal of Soils and Sediments, 2014, 14 : 1949 - 1964
  • [3] Spectral fingerprinting: sediment source discrimination and contribution modelling of artificial mixtures based on VNIR-SWIR spectral properties
    Brosinsky, Arlena
    Foerster, Saskia
    Segl, Karl
    Kaufmann, Hermann
    [J]. JOURNAL OF SOILS AND SEDIMENTS, 2014, 14 (12) : 1949 - 1964
  • [4] Spectral BRDF modeling of vehicle signature observations in the VNIR-SWIR
    Perkins, T.
    Adler-Golden, S.
    Muratov, L.
    Sundberg, R.
    Ientilucci, E.
    Cain, L.
    [J]. ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXII, 2016, 9840
  • [5] 3D spectral analysis in the VNIR-SWIR spectral region as a tool for soil classification
    Ogen, Yaron
    Goldshleger, Naftaly
    Ben-Dor, Eyal
    [J]. GEODERMA, 2017, 302 : 100 - 110
  • [6] Identifying vehicles with VNIR-SWIR hyperspectral imagery: Sources of distinguishability and confusion
    Adler-Golden, Steve
    Sundberg, Robert
    [J]. IMAGING SPECTROMETRY XXI, 2016, 9976
  • [7] Optimizing a Standard Spectral Measurement Protocol to Enhance the Quality of Soil Spectra: Exploration of Key Variables in Lab-Based VNIR-SWIR Spectral Measurement
    Xu, Zhengyuan
    Chen, Shengbo
    Lu, Peng
    Wang, Zibo
    Li, Anzhen
    Zeng, Qinghong
    Chen, Liwen
    [J]. REMOTE SENSING, 2022, 14 (07)
  • [8] Spectral quality metrics for VNIR and SWIR hyperspectral imagery
    Kerekes, JP
    Hsu, SM
    [J]. ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY X, 2004, 5425 : 549 - 557
  • [9] Targeting vein like-style U mineralization at khoshoumi, Iran, using multi-spectral vnir-swir ASTER data
    Ravasan, M. Sh.
    [J]. Mineral Deposit Research: Meeting the Challenge, Vol 3, 2005, : 209 - 209
  • [10] Effects of different spectral processing methods on soil organic matter prediction based on VNIR-SWIR spectroscopy in karst areas, Southwest China
    Mengjuan Wu
    Yuqing Huang
    Xin Zhao
    Jia Jin
    Yangchun Ruan
    [J]. Journal of Soils and Sediments, 2024, 24 : 914 - 927