Digital mapping of soil properties in the West of Honduras, Central America. (doi:10.7910/DVN/QVXA7U)

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

doi:10.7910/DVN/QVXA7U

Harvard Dataverse

2016-10-04

2

Da Silva, Mayesse; Monserrate, Fredy; Valencia, Jefferson; Quintero, Marcela; Jarvis, Andy, 2016, "Digital mapping of soil properties in the West of Honduras, Central America.", https://doi.org/10.7910/DVN/QVXA7U, Harvard Dataverse, V2

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

doi:10.7910/DVN/QVXA7U

Da Silva, Mayesse (International Center for Tropical Agriculture - CIAT)

Monserrate, Fredy (International Center for Tropical Agriculture - CIAT)

Valencia, Jefferson (International Center for Tropical Agriculture - CIAT)

Quintero, Marcela (International Center for Tropical Agriculture - CIAT)

Jarvis, Andy (International Center for Tropical Agriculture - CIAT)

International Center for Tropical Agriculture

2016

Award No. AID-BFS-G-11-00002-10

Harvard Dataverse

International Center for Tropical Agriculture

CIAT Data and Research Methods

Garcia, Carolina

2016-08-26

https://doi.org/10.7910/DVN/QVXA7U

Earth and Environmental Sciences, Soil texture, Wilting point, Field capacity, Water holding capacity, Honduras, DEM, Topographic Wetness Index (TWI), Curve numbers, Dry corridor, Latin America and the Caribbean, Soils

Land use mapping

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.

Honduras, Honduras, Honduras, Honduras, Honduras, Honduras, Honduras, Honduras, Honduras, Honduras, Honduras

Copan, Ocotepeque, Lempira, Santa Bárbara, Intibucá, La Paz, Cortes, Comayagua, Francisco Morazán, Valle, Choluteca

West of the country

Geospatial Data

Soil Data

Raster maps for using in a GIS environment

Whilst utmost care has been taken CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.

<a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.

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.

10.1007/978-1-4020-8592-5

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.

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.

10568/73454

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.

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1a. Sand.jpg

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Sand in .jpg file format

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1b. sand.asc

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Sand in .asc file format

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1c. sand.zip

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Zipped sand in .asc file format

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2a. Clay.jpg

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Clay in .jpg file format

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2b. Clay.asc

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Clay raster file in .asc format.

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2c. Clay.zip

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Zipped clay raster file in .asc format.

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3a. Silt.jpg

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Silt file in .jpg format

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3b. Silt.asc

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Silt raster file in .asc format

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3c. Silt.zip

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Zipped silt raster file in .asc format

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4a. Texture class.jpg

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Texture class in .jpg format

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4b. Texture class.asc

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Texture class raster file in .asc format

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4c. Texture class legend.txt

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Texture class raster file legend

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4d. Texture_class.zip

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Zipped texture class raster file in .asc format and legend

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5a. Field capacity.jpg

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Field capacity in .jpg format

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5b. Field capacity.asc

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Field capacity raster file in .asc format

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5c. Field capacity.zip

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Zipped field capacity raster file in .asc format

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6a. Wilting point.jpg

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Wilting Point in .jpg format

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6b. Wilting point.asc

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Wilting point raster file in .asc format

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6c. Wilting point.zip

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Zipped wilting point in .asc file format

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7a. Water holding capacity.jpg

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Water holding capacity in .jpg format

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7b. Water holding capacity.asc

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Water holding capacity raster file in .asc format

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7c. Water holding capacity.zip

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Zipped water holding capacity raster file in .asc format

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8a. Curve number.jpg

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Curve number in .jpg file format

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8b. Curve number.asc

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Curved number raster file in .asc format.

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8c. Curve number.zip

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Zipped curved number raster file in .asc format.

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