Transferability, accuracy, and uncertainty assessment of different knowledge-based approaches for soil types mapping

• Published in: Catena (Giessen) Vol. 182; p. 104134
• Main Authors: Machado, Diego Fernandes Terra, de Menezes, Michele Duarte, Silva, Sérgio Henrique Godinho, Curi, Nilton
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2019
• Subjects: Brazil; Digital soil mapping; entropy; Fuzzy logic; Knowledge-driven; Legacy data; Soil survey; soil surveys; soil types; spatial data; U.S. Soil Taxonomy; uncertainty; Brazil; Soil survey; SWI; Digital soil mapping; DEM; SAGA; SIE; UTM; Legacy data; GIS; MUP -30; HX; DT; Fuzzy logic; MUP -20; VDCN; RF; TI; Knowledge-driven; AX; MRRTF; MUe; UT
• ISSN: 0341-8162; 1872-6887
• DOI: 10.1016/j.catena.2019.104134

Soil legacy data are important sources of soil information, especially when dealing with limited resources. In countries with high geographical diversity and few financial resources, such as Brazil, they represent an economical alternative to obtaining soil spatial information in higher resolution....