Computer-assisted cartography using topographic properties: Precision and accuracy of local soil maps in central Mexico

Translated title of the contribution: Computer-assisted cartography using topographic properties: Precision and accuracy of local soil maps in central Mexico

Gustavo Cruz-Cárdenas, Carlos Alberto Ortiz-Solorio, Enrique Ojeda-Trejo, Juan Felipe Martínez-Montoya, Erasto Domingo Sotelo-Ruiz, Atenogenes Leobardo Licona-Vargas

Research output: Contribution to journalArticlepeer-review

Abstract

Map units directly related to properties of soil-landscape are generated by local soil classes. Therefore to take into consideration the knowledge of farmers is essential to automate the procedure. The aim of this study was to map local soil classes by computer-assisted cartography (CAC), using several combinations of topographic properties produced by GIS (digital elevation model, aspect, slope, and profile curvature). A decision tree was used to find the number of topographic properties required for digital cartography of the local soil classes. The maps produced were evaluated based on the attributes of map quality defined as precision and accuracy of the CAC-based maps. The evaluation was carried out in Central Mexico using three maps of local soil classes with contrasting landscape and climatic conditions (desert, temperate, and tropical). In the three areas the precision (56%) of the CAC maps based on elevation as topographical feature was higher than when based on slope, aspect and profile curvature. The accuracy of the maps (boundary locations) was however low (33 %), in other words, further research is required to improve this indicator.

Translated title of the contributionComputer-assisted cartography using topographic properties: Precision and accuracy of local soil maps in central Mexico
Original languageEnglish
Pages (from-to)683-691
Number of pages9
JournalRevista Brasileira de Ciencia do Solo
Volume35
Issue number3
DOIs
StatePublished - 2011
Externally publishedYes

Keywords

  • Decision tree
  • Digital elevation model
  • Map quality

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