ValiDat.DSM, a new soil data validation dataset for Central Europe

  • Endre Dobos Institute of Geography, University of Miskolc, Miskolc-Egyetemváros, Hungary
  • Erika Michéli Department of Soil Science and Agrochemistry, Szent István University, Gödöllő, Hungary
  • Emil Fulajtár Soil Science and Conservation Research Institute, Bratislava, Slovakia
  • Vít Penížek Czech University of Life Sciences Prague. Praha, Czech Republic
  • Marcin Świtoniak Nicolaus Copernicus University, Torun, Poland
Keywords: ValiDat.DSM, soil validation,, DSM, raster dataset, categorical data

Abstract

Digital soil maps are often derived using digital soil mapping tools, satellite imageries and digital terrain models as environmental covariates. Therefore several new datasets are raster based data representing soil classification categories, like WRB reference soil groups. Validating raster datasets with categorical data is not well researched and supported. No procedure and validation datasets exist that can take categorical diversity and similarity (taxonomic distance) into consideration. This approach would require an input validation dataset describing the categorical diversity of the spatial units to be validated. The aim of this study is to introduce a novel dataset developed for this purpose.

Published
2013-10-03
How to Cite
DobosE., MichéliE., FulajtárE., PenížekV., & ŚwitoniakM. (2013). ValiDat.DSM, a new soil data validation dataset for Central Europe. Hungarian Geographical Bulletin, 62(3), 313-320. Retrieved from https://ojs.mtak.hu/index.php/hungeobull/article/view/2964
Section
Brief information