Persistent Identifier
|
doi:10.7910/DVN/QVXA7U |
Publication Date
|
2016-10-04 |
Title
| Digital mapping of soil properties in the West of Honduras, Central America. |
Author
| Da Silva, Mayesse (International Center for Tropical Agriculture - CIAT) - ORCID: 0000-0002-3734-9586
Monserrate, Fredy (International Center for Tropical Agriculture - CIAT) - ORCID: 0000-0003-4669-9614
Valencia, Jefferson (International Center for Tropical Agriculture - CIAT) - ORCID: 0000-0002-6774-6996
Quintero, Marcela (International Center for Tropical Agriculture - CIAT) - ORCID: 0000-0001-8107-7744
Jarvis, Andy (International Center for Tropical Agriculture - CIAT) - ORCID: 0000-0001-6543-0798 |
Point of Contact
|
Use email button above to contact.
CIAT Data and Research Methods (International Center for Tropical Agriculture - CIAT) |
Description
| Digital 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. |
Subject
| Earth and Environmental Sciences |
Keyword
| Soil texture (AGROVOC) http://aims.fao.org/aos/agrovoc/c_7199
Wilting point (AGROVOC) http://aims.fao.org/aos/agrovoc/c_32626
Field capacity (AGROVOC) http://aims.fao.org/aos/agrovoc/c_32445
Water holding capacity (AGROVOC) http://aims.fao.org/aos/agrovoc/c_25304
Honduras (AGROVOC) http://aims.fao.org/aos/agrovoc/c_3651
DEM
Topographic Wetness Index (TWI)
Curve numbers
Dry corridor
Latin America and the Caribbean (CIAT Region)
Soils (CIAT Research Area) |
Topic Classification
| Land use mapping (AGROVOC) http://aims.fao.org/aos/agrovoc/c_9000100 |
Related Publication
| Gonzalez, J.P., Jarvis, A., Cook, S., Oberthur, T., Rincon-Romero, M., Bagnell, J., Bernardine, D. 2008. Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processes, in: Hartemink, A.E., McBratney, A., Mendonça-Santos, M. de L. (Eds.), Digital Soil Mapping with Limited Data. Springer Netherlands, Dordrecht, pp. 367–380. doi: 10.1007/978-1-4020-8592-5 http://dx.doi.org/10.1007/978-1-4020-8592-5
Monserrate, F., Valencia, J., Quintero, M., Hyman, G., Da Silva, M., Coppus, R., Bautista, O., Rivera, O., León, J., Manueles, A. 2016. Aumentando la resiliencia climática en el occidente de Honduras: explorando fuentes de agua para pequeños productores rurales. United States Agency for International Development (USAID); Centro Internacional de Agricultura Tropical (CIAT); Escuela Agrícola Panamericana Zamorano (EAP Zamorano). Cali, CO. 44 p. handle: 10568/73454 http://hdl.handle.net/10568/73454 |
Producer
| International Center for Tropical Agriculture (CIAT) http://ciat.cgiar.org/
|
Production Date
| 2016 |
Funding Information
| United States Agency for International Development - USAID: Award No. AID-BFS-G-11-00002-10 |
Distributor
| International Center for Tropical Agriculture (CIAT) http://ciat.cgiar.org/
|
Depositor
| Garcia, Carolina |
Deposit Date
| 2016-08-26 |
Data Type
| Geospatial Data; Soil Data; Raster maps for using in a GIS environment |