Forensic soil source identification: comparing matching by color, vis-NIR spectroscopy and easily-measured physio-chemical properties

Zeng, Rong; Rossiter, David G.; Zhao, Yanni; Li, D.C.; Zhang, G.L.

doi:10.1016/j.forsciint.2020.110544

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…Another interesting feature of the proposed technique is that even for samples with small amount of beach sand (≈200mg), the technique can be used. It is also a none destructive analysis, that can allow the investigator to recover the original sample of beach sand by separation and drying processes, and used it to perform, for example, other physicochemical analysis as reported in literature [2][3][4][5][6][7]. The proposed technique can be perfomed in the field on schematic format as the one shown in 2.…”

Section: Methodsmentioning

confidence: 99%

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Portable particle sizing concept for beach sand identification for forensic purposes: a success case application of DLS/PCS

Braga,

Sternberg,

Rodrigues

2023

Phys. Scr.

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A cheap and simple experimental setup for executing particle sizing in water disperion by means of dynamic light scattering (DLS) and consequently the necessary software to evaluate the calculations of photon correlation spectroscopy (PCS) are described here in order to characterize beach sand by its source location according to the mean beach sand grain hydrodynamic diameter. Despite the existence of similar commercial particle sizing equipments, the innovation presented here consists of a portable measurements able to be used in the field. It consists of an easy handling apparatus composed by a solid-state laser pointer as light source and a smartphone CCD camera as detector for video acquiring. Correlation calculus of light intensity variations were performed in a software developed by the authors. The performance test of the proposed protocol was evaluated to characterize beach sand particles on aqueous solution determining its hydrodynamic diameter. The limitations of the technique were explored and comparison with optical microscopy results and literature were performed.

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Section: Methodsmentioning

confidence: 99%

“…Some procedures using geomorpholy techniques [1] and laser granulometry detecting particles with diameters of μm [2,3], have already been reported. This soil particle sizing procedure can also be coupled with spectroscopic protocols [4],…”

Section: Introductionmentioning

confidence: 99%

Portable particle sizing concept for beach sand identification for forensic purposes: a success case application of DLS/PCS

Braga,

Sternberg,

Rodrigues

2023

Phys. Scr.

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“…Zeng et al examined how useful full-visible near-infrared spectroscopy (vis-NIR) was in determining the location of an unknown source sample for forensic purposes. 125 Through the examination of the graphs, it was clear that the vibrational spectroscopy was able to differentiate the samples from one another and to provide information about which sample had the highest and lowest reflectance. Shi et al also employed vis-NIR in their study but instead used it to establish aggregate soil characteristics, including mean weight diameter (MWD) and three aggregate size fractions.…”

Section: T H Imentioning

confidence: 99%

“…Zeng et al examined how useful full-visible near-infrared spectroscopy (vis-NIR) was in determining the location of an unknown source sample for forensic purposes . Through the examination of the graphs, it was clear that the vibrational spectroscopy was able to differentiate the samples from one another and to provide information about which sample had the highest and lowest reflectance.…”

Section: Chemistry: Trace Evidencementioning

confidence: 99%

Innovative Vibrational Spectroscopy Research for Forensic Application

et al. 2023

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“…The spectral angle mapper (SAM) was used to identify such artificial covers using the hsdar package in R [56]. SAM measured the similarity among spectra to reference spectra and proved a powerful spectral distance approach used in various studies related to soil characterisation [57,58]. A spectrum is a vector in an n-dimensional space with n representing the number of considered bands.…”

Section: Large Non-plastic Greenhouses and Temporary Soil Coversmentioning

confidence: 99%

Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil

Ibrahim

Gobin

2021

Remote Sensing

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Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.

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Forensic soil source identification: comparing matching by color, vis-NIR spectroscopy and easily-measured physio-chemical properties

Cited by 11 publications

References 18 publications

Portable particle sizing concept for beach sand identification for forensic purposes: a success case application of DLS/PCS

Portable particle sizing concept for beach sand identification for forensic purposes: a success case application of DLS/PCS

Innovative Vibrational Spectroscopy Research for Forensic Application

Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil

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