Functional digital soil mapping: A case study from Namarroi, Mozambique

Geoderma

Volumn 219-220, Issue , 2014, Pages 155-161

  van Zijl, G M ^a   Bouwer, D ^a   van Tol, J J ^b   le Roux, P A L ^a  

^a UNIVERSITY OF THE FREE STATE   (South Africa)

^b UNIVERSITY OF FORT HARE   (South Africa)

Author keywords

Lidar; Production potential; SoLIM; Terrain analysis

Indexed keywords

CONFIDENCE LEVELS; CONVENTIONAL METHODS; DIGITAL SOIL MAPPINGS; EXPERT KNOWLEDGE; LAND SUITABILITY; SOIL DISTRIBUTION; SOLIM; TERRAIN ANALYSIS;

DEVELOPING COUNTRIES; KNOWLEDGE BASED SYSTEMS; OPTICAL RADAR; SOIL SURVEYS;

SOILS;

CONCEPTUAL FRAMEWORK; COVARIANCE ANALYSIS; DEVELOPING WORLD; EXPERT SYSTEM; LIDAR; SOIL CLASSIFICATION; SOIL SURVEY; TERRAIN;

MOZAMBIQUE;

EID: 84893008867     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2013.12.014     Document Type: Article

References (24)

1. ATFC Land Optimization Plan and Implementation Schedule for 21,375ha of Lease Title Area in the District of Namarroi, Zambezia Province, Mozambique 2013, ATFC, Gurue.
2. Behrens T., Zhu A.-X., Schmidt K., Scholten T. Multi-scale digital terrain analysis and feature selection for digital soil mapping. Geoderma 2010, 155:175-185.
3. Bui E.N. Soil survey as a knowledge system. Geoderma 2004, 120:17-26.
4. Direcção Nacional de Geologia (DNG), undated. Mozambique DNG 1M Bedrock and Structural Geology. Obtained through http://portal.onegeology.org/.
5. FAOSTAT Food and Agriculture Organization of the United Nations, Statistical databases Available at:. http://faostat.fao.org.
6. Gaetsewe H.E. Evaluation of land reform projects in the south eastern Free State 2001, (M.Tech. Thesis), Technikon Free State, Bloemfontein.
7. Hensley M., le Roux P.A.L., Gutter J., Zerizghy M.G. Improved Soil Survey Technique for Delineating Land Suitable for Rainwater Harvesting 2007, WRC Project K8/685/4.
8. IUSS Working Group World reference base for soil resources 2006, first update 2007. World Soil Resources Reports No. 103 2007, FAO, Rome.
9. le Roux P.A.L., Ellis F., Merryweather F.R., Schoeman J.L., Snyman K., Van Deventer P.W., Verster E. Riglyne vir kartering en interpretasie van die gronde van Suid-Afrika 1999, Universiteit van die Vrystaat.
10. Marsman B.A., de Gruijter J.J. Quality of soil maps, a comparison of soil survey methods in a study area. Soil Survey papers no. 15 1986, Netherlands Soil Survey Institute, Stiboka, Wageningen, The Netherlands.
11. Minasny B., McBratney A.B. A conditioned Latin hypercube method for sampling in the presence of ancillary information. Comput. Geosci. 2006, 32:1378-1388.
12. Qi F., Zhu A.-X., Harrower M., Burt J.E. Fuzzy soil mapping based on prototype category theory. Geoderma 2006, 136:774-787.
13. SAGA User Group Association SAGA GUI 2.0.8 http://www.saga-gis.org.
14. Smith M.P., Zhu A.-X., Burt J.E., Stiles C. The effects of DEM resolution and neighborhood size on digital soil survey. Geoderma 2006, 137:58-69.
15. Snyman K. Exploratory assessment of afforestation potential of the Regone and Rumala areas - Namarroi district, Mozambique. Report prepared for ATFC II Lda. Gurue, Mozambique 2012.
16. Soil Classification Working Group Soil classification: a taxonomic system for South Africa 1991, Department of Agricultural Development, Pretoria, South Africa.
17. Van den Bergh H.M., Weepener H.L., Metz M. Spatial modelling for semi detailed soil mapping in Kwazulu-Natal 2009, ARC-ISCW, (Pretoria).
18. Van Zijl G.M., le Roux P.A.L., Smith H.J.C. Rapid results with digital soil mapping, Mozambique. Proceedings of the 5th Global Workshop on Digital Soil Mapping. Sydney, Australia 2012, B. Minasny, B. Malone, A.B. McBratney (Eds.).
19. Van Zijl G.M., le Roux P.A.L., Turner D.P. Disaggregation of land types, using terrain analysis, expert knowledge and GIS methods. S Afr J Plant Soil 2013, 30(3):123-129. 10.1080/02571862.2013.806679.
20. Yang L., Jiao Y., Fahmy S., Zhu A.-X., Hann S., Burt J.E., Qi F. Updating conventional soil maps through digital soil mapping. Soil Sci. Soc. Am. J. 2011, 75(3):1044-1053. 10.2136/sssaj2010.0002.
21. Zhu A.-X. A similarity model for representing soil spatial information. Geoderma 1997, 77:217-242.
22. Zhu A.-X., Hudson B., Burt J., Lubich K., Simonson D. Soil mapping using GIS, expert knowledge and fuzzy logic. Soil Sci. Soc. Am. J. 2001, 65:1463-1472.
23. Zhu A.-X., Yang L., Li B., Qin C., Pei T., Liu B. Construction of membership functions for predictive soil mapping under fuzzy logic. Geoderma 2010, 155:164-174.
24. Zhu Q., Lin H.S., Doolittle J.A. Functional soil mapping for site specific soil moisture and crop yield management. Geoderma 2013, 200-201:45-54.