Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3765-2016
https://doi.org/10.5194/hess-20-3765-2016
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, Matthias Bernhardt, Conrad Jackisch, and Karsten Schulz

Viewed

Total article views: 3,269 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,010 1,150 109 3,269 61 67
  • HTML: 2,010
  • PDF: 1,150
  • XML: 109
  • Total: 3,269
  • BibTeX: 61
  • EndNote: 67
Views and downloads (calculated since 04 Apr 2016)
Cumulative views and downloads (calculated since 04 Apr 2016)

Cited

Discussed (final revised paper)

Latest update: 29 Feb 2024
Download
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.