Classification and geovisualization process of soil data using a web-based spatial information system

Abstract

Because of the increased demand for information, the scientific community have published their results on the Internet over the last 20 years, adapting to society requirements. Due to the development of web-based spatial information soil systems, access to data on various themes and of varying quality has become substantially easier. The focus of our paper is to demonstrate a freely accessible and usable web-based soil database and soil information system (Soil Information and Soil Classifier System), which is suitable for geovisualization uploaded soil data and for determining reference soil groups (RSGs) in accordance with the World Reference Base of Soil Resources (WRB; RSG). In order to achieve this, we algorithmized the diagnostic soil classification process of the WRB, then we created decision trees to correspond input soil data to the WRB system. In order to facilitate geovisualization of the spatial data, the Keyhole Markup Language file format supported by Google API was applied.

Numerical classification of termite-mediated soils along toposequences and rangeland use influenced soil properties in southeast Ethiopia

“…For example, Esfandiarpour-Boroujenia et al [ 22 ] reported a poor correlation between these two systems in arid and semi-arid Iranian soils. According to Balla et al [ 23 ], qualifiers applied to certain ST soil groups are limited in WRB. Although these classification systems take into account the soil-forming processes in diagnostic characteristics, they do not accentuate the role of soil-forming processes in soil classification [ 20 , 24 ].…”