Near Infrared Reflectance Spectroscopy for the Analysis of Agricultural Soils

Abstract

The objective of this work was to investigate the usefulness of near infrared (NIR) reflectance spectroscopy in determining: (i) various constituents (total N, total C, active N, biomass and mineralisable N, and pH), (ii) parameters (soil source, depth from which sample was obtained, type of tillage used) and (iii) rate of application of NH 4 NO 3 fertiliser) of low organic matter soils. A NIRSystems model 6250 spectrometer was used to scan soil samples (n = 179) obtained from experimental plots at two locations with three replicate plots under plow and no till practices at each location with three rates of NH 4 NO 3 for each plot (2 × 3 × 2 × 3). For each of these, samples were taken from five depths for a total of 2 × 3 × 2 × 3 × 5 or 180 samples (one sample lost). The results demonstrated that NIR reflectance spectroscopy can be successfully used to determine some compositional parameters of low organic matter soils (particularly total C and total N). It is also apparent that for non-biological parameters (excluding soil type as reflected by source) such as the depth from which the sample was obtained, the rate of application of NH 4 NO 3 fertiliser and the form of tillage used, that NIR reflectance spectroscopy is not very useful, unless a very limited set of samples is used (i.e. single tillage and location). For other determinations, such as pH, biomass N and active N, the results may be useful depending on the exact needs in question. Finally, from the results presented here, NIR reflectance spectroscopy was not successful in determining soil N mineralisable in 21 days.

Big Sky Carbon Sequestration Partnership

“…However, it should be noted that there is little utility, for example, in using 117 samples from a single field to construct a model that can only be successfully applied to that same field 43 . A sample collected at 0-2.5 cm at one location is hardly independent of samples from the same location at 2.5-20 cm 44,45 . Demonstrating the lack of robustness for such models, NIR and MIR models calibrated using one field in Maryland performed poorly when used to predict C in another Maryland field 44,45 .…”

“…A sample collected at 0-2.5 cm at one location is hardly independent of samples from the same location at 2.5-20 cm 44,45 . Demonstrating the lack of robustness for such models, NIR and MIR models calibrated using one field in Maryland performed poorly when used to predict C in another Maryland field 44,45 . For a rolling field in Manitoba, even holding out 50% of the sample set at a time for cross-validation yielded a notably higher NIR RMSD value of 3.3 g OC kg -1 dry soil 46 .…”

“…The project was sold to the London office of Sustainable Forestry Management, Ltd. The project was estimated to generate some 47,492 tCO 2 e, with the forest to be managed sustainably by the Tribe for 80 years 44 .…”

Estimating Total Nitrogen Content in Brown Soil of Orchard Based on Hyperspectrum

“…Reeves et al [1] estimated the TN of the soil using near-infrared reflectance spectroscopy. Galvao et al [2] estimated the soil composition and the highly relevant spectral bands using regression equations.…”

Biblioteca espectral de solos e sua aplicação na quantificação de atributos e classificação

“…Dentro dos diversos estudos a aplicação de técnicas de sensoriamento remoto tem ganhado grande enfoque nas últimas décadas, principalmente devido a credibilidade no meio científico que estas técnicas tem demonstrado em promover caracterizações mais rápidas e baratas. A aplicação de técnicas de sensoriamento remoto em solos começou na décadas de 50 e 60 (BROOKS, 1952;BOWERS E HANKS, 1965), posteriormente várias foram as aplicações da técnica: quantificação de atributos de solos de maneira rápida e não destrutiva REEVES et al, 1999;SHEPHERD E WALSH, 2002;VISCARRA-ROSSEL, et al, 2006a;NANNI E DEMATTÊ, 2006;BROWN, et al 2006;), ferramenta no levantamento de solos (DEMATTÊ et al, 2004), quantificações mineralógicas MADEIRA-NETO et al, 1996), mapeamento digital do solo ( VISCARRA-ROSSEL E MCBRACTNEY, 2008), agricultura de precisão MALEKI et al 2007;) e quantificação de metais pesados . Para tanto um requerimento básico para o uso destas técnicas é criação de um banco de dados espectrais ou biblioteca espectral .…”