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
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...
| Autores principales: | , , , , , |
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| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
International Center for Tropical Agriculture
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/106786 |
| _version_ | 1855537375865733120 |
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| author | Martin López, Javier Mauricio Silva, Mayesse Aparecida da Valencia Gómez, Jefferson Quintero, Marcela Keough, Adam Casares, Francisco |
| author_browse | Casares, Francisco Keough, Adam Martin López, Javier Mauricio Quintero, Marcela Silva, Mayesse Aparecida da Valencia Gómez, Jefferson |
| author_facet | Martin López, Javier Mauricio Silva, Mayesse Aparecida da Valencia Gómez, Jefferson Quintero, Marcela Keough, Adam Casares, Francisco |
| author_sort | Martin López, Javier Mauricio |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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 |
| format | Poster |
| id | CGSpace106786 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1067862025-11-05T16:17:55Z 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 Martin López, Javier Mauricio Silva, Mayesse Aparecida da Valencia Gómez, Jefferson Quintero, Marcela Keough, Adam Casares, Francisco soil soil properties models 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 2019 2020-01-29T13:19:43Z 2020-01-29T13:19:43Z Poster https://hdl.handle.net/10568/106786 en Open Access application/pdf International Center for Tropical Agriculture 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. |
| spellingShingle | soil soil properties models Martin López, Javier Mauricio Silva, Mayesse Aparecida da Valencia Gómez, Jefferson Quintero, Marcela Keough, Adam Casares, Francisco 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 |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | comparative digital soil mapping dsm study using a non supervised clustering analysis and an expert knowledge based model a case study from ahuachapan el salvador |
| topic | soil soil properties models |
| url | https://hdl.handle.net/10568/106786 |
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