
doi: 10.18174/121443
In recent years, digital soil mapping has faced rapid development of new and economic methods, mainly due to the increasing sources of auxiliary maps. The main objective of this research was to develop a methodology for pedometric mapping that can be used to bridge gaps between the mechanistic pedometric and conventional techniques. The thesis covers seven metodological aspects of soil mapping: sampling, pre-processing, photo-interpretation, interpolation, visualisation, organisation and quality control.
Soi Information System, EOS, Pedometrics, geostatistics, kriging, Spatial interpolation, Fuzzy classification, soil science, soil suitability, ESA, ADLIB-BOOK-403, soil mapping, pedometrics, sampling, pre-processing, photo-interpretation, interpolation, visualisation, organisation, quality control
Soi Information System, EOS, Pedometrics, geostatistics, kriging, Spatial interpolation, Fuzzy classification, soil science, soil suitability, ESA, ADLIB-BOOK-403, soil mapping, pedometrics, sampling, pre-processing, photo-interpretation, interpolation, visualisation, organisation, quality control
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
