Abstract
The demand for more detailed soil and relief information is steadily increasing. However, many countries have only general soil maps at 1:100,000 scale that do not satisfy the requirements needed for applications. This paper shows how geomorphometric analysis from digital elevation models (DEM) can contribute to improve information detail and accuracy and, thus, strengthen soil survey. The study was carried out in a mountainous area of Colombia where various geomorphometric parameters were calculated and a classification of landforms was created. The results can be useful to supplement existing soil studies and meet the information requirements of environmental spatial models, agriculture development, hydrology, land use and conservation.
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References
Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of basin hydrology. Hydrol Sci 24(1):43–69
Böhner J, Conrad O (2012) System for automated geoscientific analyses. Available at: http://www.saga-gis.org/en/index.html
Chaplot V, Walter C, Curmi P (2000) Improving soil hydromorphy prediction according to DEM resolution and available pedological data. Geoderma 97(3–4):405–422
Daly C, Halbleib M, Smith J, Wayne P, Doggett M, Taylor G, Curtis J, Pasteris P (2008) Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. Int J Climatol 28:2031–2064
Dobos E, Montanarella L (2007) The development of a quantitative procedure for soilscape delineation using digital elevation data for Europe. In: Lagacherie P, McBratney AB, Voltz M (eds) Developments in soil science, vol 31. Elsevier, Amsterdam, pp 107–118
Dobos E, Micheli E, Baumgardner M, Biehl L, Helt T (2000) Use of combined digital elevation model and satellite radiometric data for regional soil mapping. Geoderma 97(3–4):367–391
FAO (2007) Land evaluation. Towards a revised framework. Land and water discussion paper 6. FAO, Rome
Florinsky IV (2012) Digital terrain analysis in soil science and geology. Elsevier, Amsterdam
Gessler PE, Moore ID, McKenzie NJ, Ryan PJ (1995) Soil-landscape modeling and spatial prediction of soil attributes. Int J GIS 9(4):421–432
Holdridge LR (1982) Life zone ecology. Tropical Science Center, San José
IGAC (2009) Estudio general de suelos y zonificación de tierras del departamento del Cauca. Instituto Geográfico Agustin Codazzi, Bogotá
Jacobsen K (2007) Manual of program system BLUH. Institute of Photogrammetry and Geoinformation, Leibniz University, Hannover
Jenny H (1994) Factors of soil formation: a system of quantitative pedology. Dover Publications, Toronto
Jiangui L, Patteya E, Nolin M, Miller JR, Kab O (2008) Mapping within-field soil drainage using remote sensing, DEM and apparent soil electrical conductivity. Geoderma 143(3–4):261–272
Kirkby MJ, Chorley RJ (1976) Through flow, overland flow and erosion. Bull Int Assoc Sci Hydrol 12:5–21
Köthe R, Gehrt E, Böhner J (1996) Automatische Reliefanalyse für geowissenschaftliche Anwendungen. Derzeitiger Stand und Weiterentwicklungen des Programms SARA. Arbeitshefte Geol 1:31–37
Martínez LJ (2006) Modelo para evaluar la calidad de tierras: caso del cultivo de papa. Agron Colomb 24(1):96–110
Martínez LJ, Munar O (2010) Digital elevation models as data source for land suitability analysis in Colombia. In: Reuter R (ed) Remote sensing for science, education, and natural and cultural heritage. EARSeL- European Association of Remote Sensing Laboratories, Paris, pp 641–647
Munar OJ, Martínez LJ (2014) Relief parameters and fuzzy logic for land evaluation of mango crops (Mangifera indica L.) in Colombia. Agron Colomb 32(2):246–254
Olaya V, Conrad O (2009) Geomorphometry with SAGA. In: Hengl T, Reuter H (eds) Geomorphometry: concepts, software, applications. Elsevier, Amsterdam, pp 293–308
Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11:1633–1644
Pike RJ (2000) Geomorphometry – diversity in quantitative surface analysis. Prog Phys Geogr 24:1–20
Pike RJ, Evans IS, Hengl T (2008) Geomorphometry: a brief guide. In: Hengl T, Reuter H (eds) Geomorphometry: concepts, software, applications. Elsevier, Amsterdam, pp 1–28
Quinn PF, Beven K, Chevallier P, Planchon O (1991) The prediction of hillslope paths for distributed hydrological modeling using digital terrain model. Hydrol Process 5:59–79
Romstad B, Etzelmüller B (2012) Mean-curvature watersheds: a simple method for segmentation of a digital elevation model into terrain units. Geomorphology 139:293–302
Ruiz Arias JA, Tovar J, Pozo D, Alsamamra H (2009) A comparative analysis of DEM-based models to estimate the solar radiation in mountainous terrain. Int J Geogr Inf Sci 23(8):1049–1076
Smith M, Zhu A, Burt J, Stiles C (2006) The effects of DEM resolution and neighborhood size on digital soil survey. Geoderma 137(1–2):58–69
Su H, Kanemasu E, Ransom M, Yang S (1990) Separability of soils in a tallgrasss prairie using SPOT and DEM data. Remote Sens Environ 33(3):157–163
US Geological Survey (1993) Digital elevation models – data users guide, 5th edn. Reston, Virginia
Valbuena C, Martínez LJ, Henao R (2008) Variabilidad espacial del suelo y su relación con el rendimiento de mango (Mangifera indica L.). Rev Bras Frutic 30(4):1146–1151
Venables WN, Ripley B (2002) Modern applied statistics with S. Springer, New York
Wu S, Lib J, Huang GH (2008) A study on DEM-derived primary topographic attributes for hydrologic applications: sensitivity to elevation data resolution. Appl Geogr 28:210–223
Zhou Q, Liu X (2004) Analysis of errors of derived slope and aspect related to DEM data properties. Comput Geosci 30(4):369–378
Acknowledgements
The authors thank to the Research Division (DIB) of the Universidad Nacional de Colombia for financial support to carry out this research.
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Martinez Martinez, L.J., Muñoz, N.A.C. (2016). Digital Elevation Models to Improve Soil Mapping in Mountainous Areas: Case Study in Colombia. In: Zinck, J.A., Metternicht, G., Bocco, G., Del Valle, H.F. (eds) Geopedology. Springer, Cham. https://doi.org/10.1007/978-3-319-19159-1_22
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DOI: https://doi.org/10.1007/978-3-319-19159-1_22
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