Near-infrared (NIR) diffuse reflectance spectroscopy for the prediction of carbon and nitrogen in an Oxisol

Published

2014-01-01

Near-infrared (NIR) diffuse reflectance spectroscopy for the prediction of carbon and nitrogen in an Oxisol

Espectroscopia de reflectancia difusa por infrarrojo cercano (NIR) para la predicción de carbono y nitrógeno de un Oxisol

Keywords:

Oxisol, pedometrics, soil mapping, geostatistics. (en)
Oxiso, pedometría, mapeo de suelos, geo-estadística. (es)

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Authors

Jesús H. Camacho-Tamayo Universidad Nacional de Colombia - Sede Bogotá - Faculty of Engineering
Yolanda Rubiano S. Universidad Nacional de Colombia - Sede Bogotá - Faculty of Agricultural Sciences - Department of Agronomy
María del Pilar Hurtado S. Centro Internacional de Agricultura Tropical (CIAT)

Abstract (en)
Abstract (es)

The characterization of soil properties through laboratory analysis is an essential part of the diagnosis of the potential use of lands and their fertility. Conventional chemical analyzes are expensive and time consuming, hampering the adoption of crop management technologies, such as precision agriculture. The aim of the present paper was to evaluate the potential of near-infrared (NIR) diffuse reflectance spectroscopy for the prediction of the carbon and nitrogen of Typic Hapludox. In the A and B horizons, 1,240 samples were collected in order to determine the total carbon (TC) and nitrogen (TN) contents, obtain the NIR spectral curve, and build models using partial least squares regression. The use of diffuse reflectance spectroscopy and statistical techniques allowed for the quantification of the TC with adequate models of prediction based on a small number of samples, an residual prediction deviation RPD greater than 2.0, an R2 greater than 0.80 and a low root mean square error RMSE. For TN, models with a good level of prediction were not obtained. The results based on the NIR models were able to be integrated directly into the geostatistical evaluations, obtaining similar digital maps from the observed and predicted TC. The use of pedometric techniques showed promising results for these soils and constitutes a basis for the development of this area of research on soil science in Colombia.

La caracterización de las propiedades del suelo mediante análisis de laboratorio es parte esencial en el diagnóstico del potencial de uso de las tierras y de su fertilidad. Los análisis químicos convencionales son costosos y demorados, lo que dificulta la adopción de tecnologías de gestión de cultivos, como la agricultura de precisión. El objetivo del presente trabajo fue evaluar el potencial de la espectroscopía de reflectancia difusa por infrarrojo lejano (NIR) en la predicción del carbono y del nitrógeno de un Typic Hapludox. Se recolectaron 1.240 muestras en los horizontes A y B, para determinar los contenidos de carbono total (TC) y nitrógeno total (TN), obtener las respuestas espectrales NIR y elaborar los modelos mediante regresión por mínimos cuadrados parciales. El uso de las espectroscopía de reflectancia difusa y de técnicas estadísticas permitió la cuantificación del TC, con modelos de predicción adecuados con bajo número de muestras, desviación residual de la predicción RPD mayores de 2,0, R2 mayores de 0,80 y error cuadrático medio RMSE bajos. Para TN no se obtuvieron modelos con buen nivel de predicción. Para TC, los resultados obtenidos a partir de los modelos NIR pudieron integrarse directamente en las evaluaciones geoestadísticas, obteniendo mapas digitales y espectro-digitales similares. El uso de las técnicas pedométricas, mostró resultados promisorios para estos suelos y se constituye en una base para el desarrollo de esta área de investigación de la ciencia del suelo en Colombia.

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