Digital mapping of soil properties in the Center and West of Honduras, Central America (doi:10.7910/DVN/MBHUV4)

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

doi:10.7910/DVN/MBHUV4

Harvard Dataverse

2021-09-14

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Martín-López, Javier M.; Mayesse, Da Silva; Valencia, Jefferson; Monserrate, Fredy; Leverón, Sindy; Quintero, Marcela, 2021, "Digital mapping of soil properties in the Center and West of Honduras, Central America", https://doi.org/10.7910/DVN/MBHUV4, Harvard Dataverse, V1

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

doi:10.7910/DVN/MBHUV4

Martín-López, Javier M. (International Center for Tropical Agriculture (CIAT))

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

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

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

Leverón, Sindy (International Center for Tropical Agriculture (CIAT))

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

Bioversity International and the International Center for Tropical Agriculture

2021-08-01

AID-BFS-IO-17-00005-12

Harvard Dataverse

Bioversity International and the International Center for Tropical Agriculture

Alliance Data Management

Castano, Silvia-Elena

2021-09-06

2021-09-01

https://doi.org/10.7910/DVN/MBHUV4

Earth and Environmental Sciences, ecosystem services, soil texture, water holding capacity, digital surface models, soil, spatial data, Honduras, Latin America and the Caribbean, Multifunctional Landscapes

ecosystem services

An update of the digital soil property maps for the West of Honduras (Da Silva et al., 2016), including now the center part of the country, was generated at 30 meters of spatial resolution to serve as input for the water-related analysis of the <a href=https://aguadehonduras.gob.hn/ "> “Agua de Honduras”</a> platform. The soil properties mapped presented in this repository are sand (%), silt (%), clay (%), texture class (USDA), and water holding capacity (mm).

Honduras

• West Bounding Longitude: -89.368179
• East Bounding Longitude: -84.897778
• South Bounding Latitude: 12.973805
• North Bounding Latitude: 16.029302

Geospatial Data

Soil Data

Raster Data

Methodology: Development of soil property maps was carried out using a digital soil mapping (DSM) approach, which combines different environmental covariates according to soil-forming factors with field soil point data in a mathematical model to produce high-resolution soil maps (raster/pixel-based) (Zhu et al., 2001; McBratney et al., 2003). A dataset of 2385 points from Gonzalez et al. (2008) and 29 environmental covariates was used jointly with a random forest algorithm to predict and map the spatial distribution of sand (%), silt (%), clay (%), organic matter (%) and water holding capacity (mm) at 0-60 cm of soil depth. Models for each variable were calibrated using 10-fold cross-validation and the validation was carried out through the root mean squared error (RMSE): 14 %, 12%, 11%, 2,8%, and 20%, respectively. Besides, the textural class map was developed using USDA classification method.

<P><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>.</P>

​<a href="https://aguadehonduras.gob.hn/wpshonduras/inundacion">Agua de Honduras: Sistema de apoyo a la planificación hídrica local </a>

​<a href="https://aguadehonduras.gob.hn/agrihonduras">AGRI -AGua para RIego </a>

Da Silva, M., Monserrate, F., Valencia, J., Quintero, M., Jarvis, A. 2016. Digital mapping of soil properties in the West of Honduras, Central America. Harvard Dataverse, V2.

10568/73454

Da Silva, M., Monserrate, F., Valencia, J., Quintero, M., Jarvis, A. 2016. Digital mapping of soil properties in the West of Honduras, Central America. Harvard Dataverse, V2.

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.

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.

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.

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1a Clay_perc_HND.tif

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Spatial distribution of clay (%) at 0-60 cm soil depth.

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1b Clay.png

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Layout of clay (%) at 0-60 cm soil depth.

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1c Clay_perc_HND.zip

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Spatial distribution of clay (%) at 0-60 cm soil depth.

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2a OM_perc_HND.tif

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Spatial distribution of organic matter (%) at 0-60 cm soil dept

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2b OM.png

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Layout of organic matter (%) at 0-60 cm soil depth.

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2c OM_perc_HND.zip

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Spatial distribution of clay (%) at 0-60 cm soil depth.

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3a Sand_perc_HND.tif

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Spatial distribution of sand (%) at 0-60 cm soil depth.

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3b Sand.png

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Layout of sand (%) at 0-60 cm soil depth.

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3c Sand_perc_HND.zip

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Spatial distribution of sand (%) at 0-60 cm soil depth.

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4a Silt_perc_HND.tif

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Spatial distribution of silt (%) at 0-60 cm soil depth.

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4b Silt.png

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Layout of silt (%) at 0-60 cm soil depth.

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4c Silt_perc_HND.zip

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Spatial distribution of silt (%) at 0-60 cm soil depth.

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5a1 Soil_Texture_HND.tif

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Spatial distribution of soil texture (USDA) at 0-60 cm soil depth.

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5a2 Soil_Texture_HND.tif.vat.dbf

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Attibute table of soil texture (USDA) at 0-60 cm soil depth.

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5b Soil_texture.png

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Layout of soil texture (USDA) at 0-60 cm soil depth.

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5c Soil_Texture_HND.zip

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Spatial distribution of soil texture (USDA) at 0-60 cm soil depth.

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6a WHC_vol_perc_HND.tif

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Spatial distribution of Water holding capacity (mm) at 0-60 cm soil depth.

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6b WHC.png

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Layout of Water holding capacity (mm) at 0-60 cm soil depth.

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6c WHC_vol_perc_HND.zip

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Spatial distribution of Water holding capacity (mm) at 0-60 cm soil depth.

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