Digital mapping of soil properties in the West of Honduras, Central America.

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cg.coverage.regionCaribbean
cg.coverage.regionLatin America
cg.creator.identifierJefferson Valencia Gómez: 0000-0002-6774-6996
cg.creator.identifierMAYESSE DA SILVA: 0000-0002-3734-9586
cg.creator.identifierMarcela Quintero: 0000-0001-8107-7744
cg.creator.identifierAndy Jarvis: 0000-0001-6543-0798
cg.identifier.doihttps://doi.org/10.7910/dvn/qvxa7uen
cg.subject.ciatSOIL INFORMATIONen
dc.contributor.authorSilva, Mayesse Aparecida daen
dc.contributor.authorMonserrate Rojas, Fredy Alexanderen
dc.contributor.authorValencia Gómez, Jeffersonen
dc.contributor.authorQuintero, Marcelaen
dc.contributor.authorJarvis, Andyen
dc.date.accessioned2016-10-24T13:59:37Zen
dc.date.available2016-10-24T13:59:37Zen
dc.identifier.urihttps://hdl.handle.net/10568/77380
dc.titleDigital mapping of soil properties in the West of Honduras, Central America.en
dcterms.abstractDigital soil property maps were generated at 30 meters resolution for the West of Honduras in order to develop the AGRI v.1 tool (Monserrate et al., 2016). AGRI (from its Spanish words AGua para RIego) is a tool that combines information about climate, relief, soils, land cover, and hydrology to identify suitable water sources for implementing small irrigation projects. The soil properties mapped were sand (%), silt (%), clay (%), texture class, field capacity (v/v), wilting point (v/v), water holding capacity (v/v), and curve numbers. A database of 1887 points from González et al. (2008) were used to generate the maps of sand, silt, and clay. This database was also used to determine field capacity, wilting point and water-holding capacity for each point by applying pedotransfer functions according to Saxton & Rawls (2006). A regression kriging approach was performed by combining 80% of point data with the terrain attributes aspect, mid-slope position, normalized height, plan and profile curvature, slope and topographic wetness index generated from a digital elevation model SRTM of 30 meters resolution. The combination of sand, silt, and clay maps resulted on texture class map. The curve number was mapped using the texture and land cover maps according to Soil Conservation Service of the United States of America (USDA-SCS, 1985). The maps performance was evaluated by the normalized root mean square error (RMSEn) expressed in percentage and using 20% of data point not used for mapping. Clay, sand, silt, field capacity, water holding capacity and wilting point presented error of 16%, 17%, 13%, 19%, 10% and 18% respectively.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationDa Silva, Mayesse; Monserrate, Fredy; Valencia Gómez, Jefferson; Quintero, Marcela; Jarvis, Andy, 2016, "Digital mapping of soil properties in the West of Honduras, Central America.", Harvard Dataverse, V2en
dcterms.issued2016-10-04
dcterms.languageen
dcterms.publisherInternational Center for Tropical Agricultureen
dcterms.subjectsoil textureen
dcterms.subjectwilting pointen
dcterms.subjectfield capacityen
dcterms.subjectwater holding capacityen
dcterms.subjecthondurasen
dcterms.typeDataset

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