VIS-NIR-SWIR spectroscopy in soil evaluation along a toposequence in Piracicaba

Demattê, José Alexandre Melo; Araújo, Suzana Romeiro; Fiorio, Peterson Ricardo; Fongaro, Caio Troula; Nanni, Marcos Rafael

doi:10.5935/1806-6690.20150054

Cited by 21 publications

(5 citation statements)

References 12 publications

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“…Features of kaolinite (1,400 and 2,205 nm) and gibbsite (2,265 nm) are clearly observable (Figure 5), of which the first has an adsorption "shoulder" or "step" on the left (Demattê et al, 2015b). The derived curve shows that these minerals have balanced proportions in both spectra, LV-I and LV-II ( Figure 5).…”

Section: Interpretation Of Surface Spectramentioning

confidence: 99%

“…This effect demonstrates the complexity of the spectral analysis due to the simultaneous interaction of soil properties. Results of clay quantification based on reflectance spectroscopy can be substantially improved if OM is removed from the soil samples (Demattê et al, 2015b). However, from a practical standpoint, this procedure is infeasible.…”

Section: Interpretation Of Surface Spectramentioning

confidence: 99%

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Surface Spectroscopy of Oxisols, Entisols and Inceptisol and Relationships with Selected Soil Properties

Poppiel

Lacerda

Oliveira

et al. 2018

Rev. Bras. Ciênc. Solo

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Traditional method of soil survey is expensive, slow, and must be carried out by experienced researchers. Thus, advances in soil observation technologies and the need to obtain information quickly by modern techniques have intensified the use of proximal sensing. This study characterized surface reflectance spectra (A horizon) and related them to traditional soil classification, based on morphological, physical, and chemical properties of representative pedogenetic profiles, developed in two toposequences of the Distrito Federal, Brazil. In the toposequences, 15 soil profiles were selected for a complete morphological description and sampling for laboratory analyses. Soil-landscape relationships were established, and profiles were classified to the fourth level of the Brazilian Soil Classification System (SiBCS). Classes of similar soils were grouped based on their surface spectra, resulting in spectral curves of 10 representative soils in the studied area. The Morphological Interpretation of Reflectance Spectrum (MIRS) and second derivative of the Kubelka-Munk (KM) function were applied to the soil spectra. The clustered soils were similar, mainly in terms of color, textural class, and organic matter content. Groups based on soil physical and chemical properties and on surface and subsurface colors were similar to those determined by surface reflectance. The identification of soil-landscape relationships was fundamental to understand the genesis and distribution of the soils, which had similar chemical and physical properties to their parent materials. The analysis of clusters based on soil surface reflectance proved efficient in determining groups of soil classes with similar properties. Surface reflectance data were related to the soil surface and subsurface properties determined by traditional soil sample analyses, since the two approaches formed similar groups. The simultaneous interaction of soil properties was assessed by MIRS analysis, while the second derivative of the KM function adequately quantified the mineralogy of the spectra.

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Section: Interpretation Of Surface Spectramentioning

confidence: 99%

Section: Interpretation Of Surface Spectramentioning

confidence: 99%

Surface Spectroscopy of Oxisols, Entisols and Inceptisol and Relationships with Selected Soil Properties

Poppiel

Lacerda

Oliveira

et al. 2018

Rev. Bras. Ciênc. Solo

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show abstract

“…As diferenças espectrais e as feições de absorção presentes nas curvas, na região do Vis-NIR-SWIR-MIR, foram avaliadas descritivamente, procedendo-se a sua classificação de acordo com os tipos de curvas e formas descritas em Demattê et al (2015). Os minerais presentes nas curvas foram identificados e corroborados pela análise de DRX.…”

Section: Análise Dos Dadosunclassified

“…Nas últimas décadas, ganharam destaque as avaliações do intemperismo de solos por meio de técnicas de sensoriamento remoto que são de baixo custo e não causam prejuízo ao meio ambiente . Além das regiões do visível (Vis), infravermelho próximo (NIR) e infravermelho de ondas curtas (SWIR) (Clemente et al, 2000;Demattê et al, 2015) surgem outras como infravermelho médio (MIR) , raios gama (Wilford, 2012) e fluorescência de raio X (FRX) .…”

Section: Introductionunclassified

Intemperismo de solos e a energia eletromagnética sob a ótica de várias faixas do espectro (Gama, raios X, Vis, NIR, SWIR e MIR)

Guimarães¹

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“…The diffuse reflectance spectroscopy (i.e. visible and near-infrared, VNIR) uses wavelengths of 350-2500 nm to provide qualitative information and prediction of soil physical, chemical and biological characteristics Brown, Shepherd, Walsh, Dewayne Mays, & Reinsch, 2006; José A M Demattê, Araújo, Fiorio, Fongaro, & Nanni, 2015;Grunwald, Yu, & Xiong, 2018;Viscarra Rossel et al, 2016). The advantages of VNIR consist on a fast scan, cost-efficient (minimum area, portable sensors, field reading), and non-destructive (environmentally friendly source) methodology (Brown et al, 2006;Fang et al, 2018;Viscarra Rossel et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Geotechnologies applied in digital soil mapping

Mendes¹

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Geotechnologies applied in digital soil mappingThe civilisation lives in a world of maps and soil maps are vital at regional and farm levels to achieve best management agricultural practices. Soil is the substrate for plant growth and vital to the fulfilment of the food demand. However, the cartographic scale of those soil maps, which for the best management agricultural practice (BMAP) have to be the most detailed as possible and they are scarce. The Digital Soil Mapping (DSM) became the easiest and feasible approach to achieve such demand. Despite previous studies have tried to better characterise soil depths, there is space for improvements on its dynamics and mapping. Looking at this goal, Remote Sensing (RS) technologies have proven to be a great power on this task. Nevertheless, some aspects of that approach still need to be tested using another hybrid, stochastic, and deterministic models for the predictions of magnetic susceptibility (MS) and soil attributes at surface and subsurface. Therefore, chapter 1 presents the evaluation of nine machine learning algorithms (MLAs) to predict the free iron content at the soil surface (e.g. 0 -20 cm) using the DSM framework. Based on the best performance of those nine MLAs, we selected five MLAs. Chapter 2 shows the use of those five MLAs with usual and new environmental variables (e.g. DEM, drainage network, and soil spectroscopy) to predict the MS and soil attributes up to 100 cm depth. Attempts on quantifying soil mineral consist of having an observation measured using traditional laboratory soil analysis. However, developments in interpreting and analysing the visible and near-infrared (VNIR) diffuse reflectance have allowed quantifying some soil minerals. In chapter 3, it implements a novel framework using VNIR spectroscopy to quantify the main soil minerals and evaluates the application of digital soil mapping framework to spatialise those soil minerals. Last but not least, the chapter 4 presents the novelty of using all predict soil components as predictors of the soil mapping units in the region of Piracicaba-SP at farm scale (1:20,000), generating the first detailed digital soil map of the region. Additionally in this chapter, it was created the digital yield environmental map for sugarcane production. Thus, this thesis presents a new integrative framework to achieve detail soil maps for the BMAP and serves as a guide for future soil surveys across the world.

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VIS-NIR-SWIR spectroscopy in soil evaluation along a toposequence in Piracicaba

Cited by 21 publications

References 12 publications

Surface Spectroscopy of Oxisols, Entisols and Inceptisol and Relationships with Selected Soil Properties

Surface Spectroscopy of Oxisols, Entisols and Inceptisol and Relationships with Selected Soil Properties

Intemperismo de solos e a energia eletromagnética sob a ótica de várias faixas do espectro (Gama, raios X, Vis, NIR, SWIR e MIR)

Geotechnologies applied in digital soil mapping

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