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

Authors :
Balla Dániel
Novák Tibor József
Kiss Emőke
Mester Tamás
Karancsi Gergő
Zichar Marianna
Source :
Open Agriculture, Vol 5, Iss 1, Pp 638-655 (2020)
Publication Year :
2020
Publisher :
De Gruyter, 2020.

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.

Details

Language :
English
ISSN :
23919531
Volume :
5
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Open Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.b25190864486452abfb5e8174e4d9a9f
Document Type :
article
Full Text :
https://doi.org/10.1515/opag-2020-0054