A comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador
cg.contributor.affiliation | International Center for Tropical Agriculture | en |
cg.coverage.country | El Salvador | |
cg.coverage.iso3166-alpha2 | SV | |
cg.coverage.region | Central America | |
cg.coverage.region | Latin America | |
cg.creator.identifier | MAYESSE DA SILVA: 0000-0002-3734-9586 | en |
cg.creator.identifier | Marcela Quintero: 0000-0001-8107-7744 | en |
cg.creator.identifier | Jefferson Valencia Gómez: 0000-0002-6774-6996 | en |
cg.place | Cali, Colombia | en |
cg.subject.ciat | SOIL INFORMATION | en |
dc.contributor.author | Martin López, Javier Mauricio | en |
dc.contributor.author | Silva, Mayesse Aparecida da | en |
dc.contributor.author | Valencia Gómez, Jefferson | en |
dc.contributor.author | Quintero, Marcela | en |
dc.contributor.author | Keough, Adam | en |
dc.contributor.author | Casares, Francisco | en |
dc.date.accessioned | 2020-01-29T13:19:43Z | en |
dc.date.available | 2020-01-29T13:19:43Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/106786 | |
dc.title | A comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador | en |
dcterms.abstract | DSM is the inference of spatial and temporal soil property variations using mathematical models based on quantitative relationships between environmental information and soil measurements. The quality of DSM information depends on the method and environmental covariates used for its estimations. We compared two DSM methods to predict soil properties such as Organic Matter “MO” (%), Sand (%), Clay (%), pH (H2O), Phosphorus (mg/kg), Effective Cationic Exchange Capacity “CICE” (cmol/L), Potassium (cmol/L) and Water Holding Capacity (mm/m) for the department of Ahuachapán in El Salvador to support the activities of the Agriculture Landscape Restoration Initiative (ALRI) in the country | en |
dcterms.accessRights | Open Access | |
dcterms.bibliographicCitation | Martín-López, Javier M.; da Silva Mayesse; Valencia, Jefferson; Quintero, Marcela; Keough, Adam & Casares, Francisco (2019). A comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador.Presented at:Joint Workshop for Digital Soil Mapping and Global Soil Map March 12-16 2019. 1 p. | en |
dcterms.extent | 1 p. | en |
dcterms.issued | 2019 | en |
dcterms.language | en | |
dcterms.license | Other | |
dcterms.publisher | International Center for Tropical Agriculture | en |
dcterms.subject | soil | en |
dcterms.subject | soil properties | en |
dcterms.subject | models | en |
dcterms.type | Poster |