Abstract
A remote sensing-based method for digital soil mapping of texture and organic matter content has been developed in an area with variable geology around Kvänum in central Sweden. It was validated at different resolutions and for different extents. It was found that the mapping procedure worked very well at farm resolution. At the extent and resolution relevant for precision farming, i.e. within-field variation, the regional models performed worse. However, this could be remedied to some extent by using a few soil samples to choose the locally best model. This approach will be implemented in an interactive web application, where farmers can provide soil samples to locally improve regional soil maps for their own fields.
| Original language | English |
|---|---|
| Title of host publication | First Conference on Proximal Sensing Supporting Precision Agriculture : Held at Near Surface Geoscience 2015 |
| Publisher | European Association of Geoscientists and Engineers, EAGE |
| Pages | 91-95 |
| Number of pages | 5 |
| ISBN (Print) | 9781510814141 |
| DOIs | |
| Publication status | Published - 2015 |
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