Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
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h5-index value: 65
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Volume 20, issue 9
Hydrol. Earth Syst. Sci., 20, 3765–3775, 2016
https://doi.org/10.5194/hess-20-3765-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 3765–3775, 2016
https://doi.org/10.5194/hess-20-3765-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Sep 2016

Research article | 12 Sep 2016

Estimating spatially distributed soil texture using time series of thermal remote sensing – a case study in central Europe

Benjamin Müller et al.

Data sets

ASTER Level 1A data EOSDIS - NASA's Earth Observing System Data and Information System http://reverb.echo.nasa.gov/reverb/

CAOS - Catchments as Organised Systems CAOS http://www.caos-project.de

Publications Copernicus
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Short summary
A technology for the spatial derivation of soil texture classes is presented. Information about soil texture is key for predicting the local and regional hydrological cycle. It is needed for the calculation of soil water movement, the share of surface runoff, the evapotranspiration rate and others. Nevertheless, the derivation of soil texture classes is expensive and time-consuming. The presented technique uses soil samples and remotely sensed data for estimating their spatial distribution.
A technology for the spatial derivation of soil texture classes is presented. Information about...
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