Textural classification of soils in rice-growing areas in Colombia (doi:10.7910/DVN/WKAOIL)
(Clasificación textural de los suelos en las áreas arroceras de Colombia)

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Document Description

Citation

Title:

Textural classification of soils in rice-growing areas in Colombia

Identification Number:

doi:10.7910/DVN/WKAOIL

Distributor:

Harvard Dataverse

Date of Distribution:

2015-11-24

Version:

1

Bibliographic Citation:

Da Silva, Mayesse; Rodriguez, Maryory; Majin, Marvin; Chirinda, Ngonidzashe, 2015, "Textural classification of soils in rice-growing areas in Colombia", https://doi.org/10.7910/DVN/WKAOIL, Harvard Dataverse, V1

Study Description

Citation

Title:

Textural classification of soils in rice-growing areas in Colombia

Alternative Title:

Clasificación textural de los suelos en las áreas arroceras de Colombia

Identification Number:

doi:10.7910/DVN/WKAOIL

Authoring Entity:

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

Rodriguez, Maryory (International Center for Tropical Agriculture - CIAT)

Majin, Marvin (International Center for Tropical Agriculture - CIAT)

Chirinda, Ngonidzashe (International Center for Tropical Agriculture - CIAT)

Producer:

International Center for Tropical Agriculture

Date of Production:

2015-05

Grant Number:

Project 1-b/c (01554)

Distributor:

Harvard Dataverse

Distributor:

International Center for Tropical Agriculture

Access Authority:

CIAT Data and Research Methods

Depositor:

Mwanzia, Leroy

Date of Deposit:

2015-11-19

Holdings Information:

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

Study Scope

Keywords:

Earth and Environmental Sciences, Soil texture, Digital soil mapping, Cartography, Latin America and the Caribbean, Soils

Topic Classification:

Digital soil mapping

Abstract:

<strong>English</strong> <p> The Digital Soil Mapping (DSM) approach was used to generate maps of the soil texture (sand, silt, and clay) in Colombia, based on the soil geomorphology. The soil units were differentiated by land shapes using a STRM 90-m DEM, and stratified by geopedological units from the Agustín Codazzi Geographic Institute (IGAC). The digital maps of soil texture were generated using the fuzzy logic approach, which enabled determining statistically the value limits of percent-slope classes, moisture index and standardized height on each of the soil units. Data inherited from IGAC’s soil profiles were used to determine the gauge values for the mapping model (80% of total data) for sand, stilt, and clay, as well as to validate (20% of total data) based on the DSM approach. The root mean squared error (RMSE) was 21, 12, and 15% for sand, stilt, and clay, respectively, and these values are the same as the standard deviation of the field data. The map of texture classes was generated with the information on sand, stilt, and clay. </p> <strong>Español</strong> <p> Se usó el enfoque de Mapeo Digital del Suelo (MDS) para generar los mapas de textura del suelo (arena, limo y arcilla) para Colombia basado en la geomorfología del suelo. Las unidades del suelo fueron diferenciadas por formas del terreno usando un DEM SRTM de 90 m de resolución y además, estratificadas por unidades geopedológicas del Instituto Geográfico Agustín Codazzi (IGAC). Los mapas digitales de textura del suelo fueron generados usando el enfoque de lógica difusa, donde se determinaron estadísticamente los límites de los valores de las clases de porcentaje de pendiente, índice de humedad y altura normalizada en cada una de las unidades de suelo. Se usaron datos heredados de perfiles de suelos de IGAC, para determinar los valores de calibración del modelo de mapeo (80% del total de los datos) para arena, limo y arcilla, así como para validar (20% del total de los datos) según el enfoque de MDS. La raíz del error medio cuadrado (RMSE) fue 21, 12 y 15 % para arena, limo y arcilla respectivamente, valores que son iguales a la desviación estándar de los datos de campo. Con la información de arena, arcilla y limo se generó el mapa de clases de textura. </p>

Time Period:

2015-05-2015-05

Date of Collection:

2015-05-2015-05

Country:

Colombia

Kind of Data:

Geospatial Data

Kind of Data:

Geographic Data

Kind of Data:

Soil Data

Kind of Data:

Map

Kind of Data:

Raster images

Kind of Data:

Data inherited from soil profiles (Source: IGAC)

Methodology and Processing

Sources Statement

Data Access

Disclaimer:

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.

Notes:

<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>.

Other Study Description Materials

Related Studies

Agustín Codazzi Geographic Institute (IGAC). "Estudios de Suelos y Capacidad de Uso de 23 Departamentos, escala 1:100000."

Instituto Geografico Agustin Codazzi (IGAC). Mapa de Geopedología de Colombia. http://sigotn.igac.gov.co/sigotn/default.aspx DEM SRTM de 90 m de resolución

Other Study-Related Materials

Label:

1. Clasificacion textural.jpg

Text:

Soil Texture map in .JPEG format :::: Textura de suelo map en formato de .JPEG.

Notes:

image/jpeg

Other Study-Related Materials

Label:

2. Clasificación textural.zip

Text:

Soil Texture map in .tiff format as a zip file.

Notes:

application/zip

Other Study-Related Materials

Label:

3. Clasificacion textural.tif

Text:

Soil Texture map in .tiff format :::: Textura de suelo map en formato de .tiff.

Notes:

image/tiff

Other Study-Related Materials

Label:

3. Clasificacion textural.tif.aux.xml

Text:

Soil Texture map in .tiff format :::: Textura de suelo map en formato de .tiff.

Notes:

text/xml

Other Study-Related Materials

Label:

3. Clasificacion textural.tif.ovr

Text:

Soil Texture map in .tiff format :::: Textura de suelo map en formato de .tiff.

Notes:

image/tiff

Other Study-Related Materials

Label:

3. Clasificacion textural.tif.vat.dbf

Text:

Soil Texture map in .tiff format :::: Textura de suelo map en formato de .tiff.

Notes:

application/octet-stream

Other Study-Related Materials

Label:

3. Clasificacion textural.tif.vat.dbf.xml

Text:

Soil Texture map in .tiff format :::: Textura de suelo map en formato de .tiff.

Notes:

text/xml