Basil suitability dataset for Valle del Cauca, Colombia
We present a 100-meter resolution layer for evaluating basil crop suitability in Valle del Cauca, southwest Colombia, accompanied by pertinent modeling layers. Our model employs seven biophysical criteria, namely Altitude, Temperature, Solar Brightness, Relative Humidity, Drainage, Precipitation, an...
| Main Authors: | , |
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| Format: | Conjunto de datos |
| Language: | Inglés |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/139876 |
| _version_ | 1855538068512047104 |
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| author | Esponda Bernal, Maria Del Mar Echeverri-Sanchez, Andres |
| author_browse | Echeverri-Sanchez, Andres Esponda Bernal, Maria Del Mar |
| author_facet | Esponda Bernal, Maria Del Mar Echeverri-Sanchez, Andres |
| author_sort | Esponda Bernal, Maria Del Mar |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We present a 100-meter resolution layer for evaluating basil crop suitability in Valle del Cauca, southwest Colombia, accompanied by pertinent modeling layers. Our model employs seven biophysical criteria, namely Altitude, Temperature, Solar Brightness, Relative Humidity, Drainage, Precipitation, and Slope, were employed, alongside four exclusion criteria: Erosion, Protected Areas, Water Bodies, and Urban Areas. We explore primary and secondary scenarios, assessing suitable areas under average and 75% rainfall exceedance conditions using an additional precipitation layer. An additional precipitation layer was incorporated for this purpose. The data for the layers were sourced from various government entities and private organizations. The 12 normalized criteria layers, reflecting aptitude for the studied crop, are included, along with layers for the Suitable Crop Location Index (SCLI) for both pre-and post-classification into categories. Supplementary layers that may be relevant but were not included in the model, such as the road network and airport locations, are also provided.
Metodology:The layers were obtained through a methodology that integrates AHP-GIS techniques. Based on the hierarchy and weighted values of each biophysical criterion obtained through the Analytic Hierarchy Process (AHP), each layer was integrated through a weighted sum to derive the Suitable Crop Location Index (SCLI). |
| format | Conjunto de datos |
| id | CGSpace139876 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1398762024-10-18T13:01:36Z Basil suitability dataset for Valle del Cauca, Colombia Esponda Bernal, Maria Del Mar Echeverri-Sanchez, Andres crop production colombia geographical information systems production location We present a 100-meter resolution layer for evaluating basil crop suitability in Valle del Cauca, southwest Colombia, accompanied by pertinent modeling layers. Our model employs seven biophysical criteria, namely Altitude, Temperature, Solar Brightness, Relative Humidity, Drainage, Precipitation, and Slope, were employed, alongside four exclusion criteria: Erosion, Protected Areas, Water Bodies, and Urban Areas. We explore primary and secondary scenarios, assessing suitable areas under average and 75% rainfall exceedance conditions using an additional precipitation layer. An additional precipitation layer was incorporated for this purpose. The data for the layers were sourced from various government entities and private organizations. The 12 normalized criteria layers, reflecting aptitude for the studied crop, are included, along with layers for the Suitable Crop Location Index (SCLI) for both pre-and post-classification into categories. Supplementary layers that may be relevant but were not included in the model, such as the road network and airport locations, are also provided. Metodology:The layers were obtained through a methodology that integrates AHP-GIS techniques. Based on the hierarchy and weighted values of each biophysical criterion obtained through the Analytic Hierarchy Process (AHP), each layer was integrated through a weighted sum to derive the Suitable Crop Location Index (SCLI). 2024 2024-03-08T14:41:20Z 2024-03-08T14:41:20Z Dataset https://hdl.handle.net/10568/139876 en Open Access Esponda Bernal, M.D.M.; Echeverri-Sanchez, A. (2024) Basil suitability dataset for Valle del Cauca, Colombia. https://doi.org/10.7910/DVN/84NLSQ |
| spellingShingle | crop production colombia geographical information systems production location Esponda Bernal, Maria Del Mar Echeverri-Sanchez, Andres Basil suitability dataset for Valle del Cauca, Colombia |
| title | Basil suitability dataset for Valle del Cauca, Colombia |
| title_full | Basil suitability dataset for Valle del Cauca, Colombia |
| title_fullStr | Basil suitability dataset for Valle del Cauca, Colombia |
| title_full_unstemmed | Basil suitability dataset for Valle del Cauca, Colombia |
| title_short | Basil suitability dataset for Valle del Cauca, Colombia |
| title_sort | basil suitability dataset for valle del cauca colombia |
| topic | crop production colombia geographical information systems production location |
| url | https://hdl.handle.net/10568/139876 |
| work_keys_str_mv | AT espondabernalmariadelmar basilsuitabilitydatasetforvalledelcaucacolombia AT echeverrisanchezandres basilsuitabilitydatasetforvalledelcaucacolombia |