Abstract

ABSTRACT Existing soil maps (legacy data) associated with digital mapping techniques are alternatives to obtain information at lower costs, however, tests are required to do it more efficiently. This study had as objectives to compare different methods to extract information from detailed scale soil maps using decision trees for mapping soil classes at two watersheds in Minas Gerais, validate these maps in the field and use the best method to extrapolate information to larger areas, also validating these maps of larger areas. Detailed soil maps of Vista Bela creek (VBW) and Marcela creek (MCW) watersheds were used as source of information. Seven methods to extract information from maps were compared: the whole polygon, eliminating 20 and 40 m from the polygon boundaries, and with buffers around the sampled points with radii of 25 m, 50 m, 75 m, and 100 m. The Classification and Regression Trees (CART) algorithm was employed to create decision trees and enable creation of soil maps. Accuracy was assessed through overall accuracy and kappa index. The best method was used to extrapolate information to larger areas and maps were validated. The best methods for VCW and MCW were, respectively, eliminating 20 m from polygon edges and buffer of 25 m of radii from points. Maps for larger areas were obtained using these methods. Removing uncertainty areas from legacy soil maps contribute to better modeling and prediction of soil classes. Information generated in this work allowed for validated extrapolation of soil maps for regions surrounding the watersheds.

Highlights

  • Soil survey reports and maps are very important for use and sustainable management of soils, making it possible to obtain the most of their productive potential, urban planning and the final destination of waste (Resende et al, 2014)

  • This study was conducted in two watersheds of Minas Gerais, named Vista Bela Creek watershed (VBW) and Marcela Creek Watershed (MCW) (Figure 1)

  • Soil legacy data used as a source of information for this study were detailed scale soil maps resulted from conventional pedological surveys, published at scales of 1:10,000 in VBW (Menezes et al, 2009) and 1:12,500 in MCW (Motta et al, 2001) (Figure 1)

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Summary

Introduction

Soil survey reports and maps are very important for use and sustainable management of soils, making it possible to obtain the most of their productive potential, urban planning and the final destination of waste (Resende et al, 2014). In the absence of more substantial resources to conduct soil surveys in a more detailed scale, an alternative is the use of pre-existing information (Bui and Moran, 2001), so called soil legacy data. In Brazil, most of the soils information is included in conventional analogic maps, published at small scales, from which the pedologist’s mental model is not obtained and understood, since the mapping units are less homogeneous than those present in more detailed soil maps. This fact tends to make the refinement of these existing maps more difficult

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