Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 325249
Title The potential of field spectroscopy for the determination of sediment properties in river floodplains
Author(s) Kooistra, L.; Wanders, J.; Epema, G.F.; Leuven, R.S.E.W.; Wehrens, H.R.M.J.; Buydens, L.M.C.
Source Analytica Chimica Acta 484 (2003)2. - ISSN 0003-2670 - p. 189 - 200.
Department(s) Laboratory of Geo-information Science and Remote Sensing
Publication type Refereed Article in a scientific journal
Publication year 2003
Keyword(s) bodemeigenschappen - geologische sedimentatie - stroomvlakten - rivieren - spectroscopie - klei - organische stof - nederland - bodemkwaliteit - rijn - soil properties - geological sedimentation - floodplains - rivers - spectroscopy - clay - organic matter - netherlands - soil quality - river rhine - diffuse-reflectance spectroscopy - near-infrared spectroscopy - organic-matter - contamination - calibration - networks
Categories Toxicology (General)
Abstract Investigations have shown that visible-near-infrared (VNIR) spectroscopy can accurately determine soil properties under laboratory conditions. In situ assessment of soil properties is of great benefit for several applications, as spectra can be acquired fast and almost continuously. The present study used partial least squares (PLS) regression to establish a relationship between soil reflectance spectra measured under field conditions and the organic matter and clay content of the soil. Spectra were acquired with a fieldspectrometer in a recently reconstructed floodplain along the river Rhine in The Netherlands. Several spectral pre-processing methods were employed to improve the performance and robustness of the models. Results indicate that, under varying surface conditions, field spectroscopy in combination with multivariate calibration does result in a qualitative relation for organic matter (R2=0.45) and clay content (R2=0.43) while under laboratory conditions more accurate results are obtained (R2=0.69 and 0.92, respectively). Soil moisture and vegetation cover had a negative influence on the prediction capabilities for both soil properties. Although the performance of the spectra measured in situ is not as accurate as physical analysis, the accuracy obtained is useful for rapid soil characterisation and remote sensing applications.
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