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Espectroscopía de reflectancia difusa – NIR para la determinación del contenido de agua en el suelo
dc.rights.license | Atribución-NoComercial 4.0 Internacional |
dc.contributor.advisor | Camacho Tamayo, Jesús Hernán |
dc.contributor.advisor | Rubiano Sanabria, Yolanda |
dc.contributor.author | Carranza Díaz, Andrea Katherín |
dc.date.accessioned | 2020-05-13T23:24:05Z |
dc.date.available | 2020-05-13T23:24:05Z |
dc.date.issued | 2019-12-13 |
dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/77517 |
dc.description.abstract | El suelo es un recurso no renovable, por esto es importante conocerlo y saber interpretarlo para lograr un manejo eficiente del mismo. Por esto, es necesaria una técnica que permita un adecuado monitoreo del suelo y que pueda ser utilizada como herramienta para tomar decisiones con respecto a su uso y manejo adecuado. El objetivo de este estudio fue estimar el contenido de agua de suelos mediante el análisis de su respuesta espectral, en el infrarrojo cercano (NIR), para la calibración de modelos de predicción. Se trabajó con tres suelos de diferente origen: un suelo proveniente del municipio de Puerto Gaitán (Meta), un suelo de la región del Espinal (Tolima), y un suelo del municipio de Mosquera (Cundinamarca). Cada muestra fue llevada al contenido de agua deseado para posteriormente obtener sus curvas espectrales e igualmente determinar su contenido de agua por un método convencional. Se obtuvieron en total cuatro modelos de predicción, uno para cada suelo y uno de los tres en conjunto, por medio de una regresión de mínimos cuadrados parciales (PLSR) y un análisis de componente principales (PCA). En los cuatro casos, se obtuvieron modelos con buena capacidad predictiva (R2 mayores a 0,85 y RMSE menores de 0,04), tanto individualmente para cada tipo de suelo, como para el modelo en el que fueron analizados los tres suelos en conjunto. A partir de los anteriores resultados, se puede decir que el uso de la espectroscopía de reflectancia difusa en el rango del infrarrojo cercano (NIR) es una buena opción para determinar el contenido de agua en el suelo. |
dc.description.abstract | The soil is a non-renewable resource, so it is important to know how to interpret it to achieve an efficient management. In order to determine its water content, it is necessary to use methods that can become costly, laborious and with high response times, which can reduce the accuracy of the data. Therefore, a technique is needed to allow an adequate soil monitoring and that can be used as a tool to make decisions regarding its use and proper management. The objective of this study was to estimate the soil water content by analysing its spectral response, in the near infrared (NIR), for the calibration of prediction models. Three soils of different origin were analysed: a soil from the municipality of Puerto Gaitán (Meta), a soil from the region of Espinal (Tolima), and a soil from the municipality of Mosquera (Cundinamarca). Each sample was taken to the desired water content to subsequently obtain its spectral curves and determine its water content by a conventional method. A total of four prediction models were obtained, one for each soil and one for the set of three, through of a partial least square regression (PLSR) and a principal component analysis (PCA). In the four cases, models with good predictive capacity (R2 greater than 0.85 and RMSE smaller than 0.04) were obtained, both individually for each type of soil and for the model of the three types of soil together. According to the previous results, the use of diffuse reflectance spectroscopy in the near infrared range (NIR) is an good option to determinate the water content in the soil. |
dc.format.extent | 74 |
dc.format.mimetype | application/pdf |
dc.language.iso | spa |
dc.rights | Derechos reservados - Universidad Nacional de Colombia |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ |
dc.title | Espectroscopía de reflectancia difusa – NIR para la determinación del contenido de agua en el suelo |
dc.type | Otro |
dc.rights.spa | Acceso abierto |
dc.description.additional | Magíster en Ingeniería - Ingeniería Agrícola. Línea de Investigación: Adecuación de Tierras y manejo Sostenible |
dc.type.driver | info:eu-repo/semantics/other |
dc.type.version | info:eu-repo/semantics/acceptedVersion |
dc.publisher.program | Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Agrícola |
dc.contributor.researchgroup | Ingeniería de Biosistemas |
dc.description.degreelevel | Maestría |
dc.publisher.branch | Universidad Nacional de Colombia - Sede Bogotá |
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dc.rights.accessrights | info:eu-repo/semantics/openAccess |
dc.subject.proposal | Spectral response |
dc.subject.proposal | Respuesta espectral |
dc.subject.proposal | Precision agriculture |
dc.subject.proposal | Agricultura de precisión |
dc.subject.proposal | Partial least squares regression |
dc.subject.proposal | Regresión de mínimos cuadrados parciales |
dc.subject.proposal | Análisis de componentes principales |
dc.subject.proposal | Principal component analysis |
dc.subject.proposal | Near infrared |
dc.subject.proposal | Infrarrojo cercano |
dc.type.coar | http://purl.org/coar/resource_type/c_1843 |
dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa |
dc.type.content | Text |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 |
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