Reflectance measurements of soils in the laboratory: Standards and protocols

Dor, Eyal Ben; Ong, Cindy; Lau, Ian

doi:10.1016/j.geoderma.2015.01.002

Cited by 157 publications

(120 citation statements)

References 22 publications

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“…Although, it has been demonstrated that ISS is extremely beneficial when combining Soil Spectral Libraries (SSLs) measured with different protocols (users, instrumentation, environment, white reference condition, etc.) [20,23] and may also be useable for instruments' cross-validation process [53,54]. Accordingly, the PARACUDA II ® data mining engine proved to be a powerful tool for achieving higher results than the regular schemes such as PLSR, which was employed in this study.…”

Section: Paracuda II ® On Culs and Tau Spectral Datasetsmentioning

confidence: 98%

“…The spectra measurement at TAU was carried out using a high intensity CP according to the Commonwealth Scientific and Industrial Research Organization (CSIRO) protocol [20] and internal soil standard (ISS) procedure. The ISS idea is based on the fact that the non-systematic effects, such as random noise, uncertain effects and instabilities are minimized by the protocol used in the professional laboratory, while the different systematic effects between protocols are corrected for using the alignment factor generated from a well-known and agreed standard's reading [23].…”

Section: Tau Protocolmentioning

confidence: 99%

“…The ISS idea is based on the fact that the non-systematic effects, such as random noise, uncertain effects and instabilities are minimized by the protocol used in the professional laboratory, while the different systematic effects between protocols are corrected for using the alignment factor generated from a well-known and agreed standard's reading [23]. The introduced ISS sample by Ben-Dor et al [20] were homogeneous sand dunes along the coastline of Lucky Bay (33 • 59 S; 122 • 13 E) in southwestern Australia, which were found to be excellent for the ISS concept.…”

Section: Tau Protocolmentioning

confidence: 99%

“…To overcome these difficulties that block any attempt for reliability and comparability of results [19], some solutions were suggested by researchers; these included the selection of proper instrumentation, standards and protocol development [20], improved spectra filtering and preprocessing [21], better control of ambient conditions [8] and the appropriate selection of multivariate statistical analysis [15,22]. These approaches can significantly reduce differences between spectral measurements of the same samples by different operators in different laboratories.…”

Section: Introductionmentioning

confidence: 99%

“…Since calibration and management represent a large part of costs and efforts in the use of spectroscopy techniques to standardization and more suitable methods are strongly needed, the current study compares two measurement protocols and two modelling techniques using the exact same soil population. To this end, we compared the measurement protocols in terms of their effects on samples spectral responses: The first is the protocol developed at Czech University of Life Sciences Prague (CULS) and the second is the protocol developed by Ben-Dor et al [20] at Tel-Aviv University (TAU). The other experiment was to use the common PLSR technique on spectra collected using both protocols and compare it to the all-possibilities approach using the PARACUDA II ® engine, a new data mining and model optimizing approach, to extract proxy models of some soil attributes, namely, oxidizable carbon (Cox), pH-H 2 O, pH-KCl, crystalline Fe and Mn (Fe-d and Mn-d) and amorphous Fe and Mn (Fe-ox and Mn-ox).…”

Section: Introductionmentioning

confidence: 99%

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Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

et al. 2017

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Abstract:Soil spectroscopy has shown to be a fast, cost-effective, environmentally friendly, non-destructive, reproducible and repeatable analytical technique. Soil components, as well as types of instruments, protocols, sampling methods, sample preparation, spectral acquisition techniques and analytical algorithms have a combined influence on the final performance. Therefore, it is important to characterize these differences and to introduce an effective approach in order to minimize the technical factors that alter reflectance spectra and consequent prediction. To quantify this alteration, a joint project between Czech University of Life Sciences Prague (CULS) and Tel-Aviv University (TAU) was conducted to estimate Cox, pH-H 2 O, pH-KCl and selected forms of Fe and Mn. Two different soil spectral measurement protocols and two data mining techniques were used to examine seventy-eight soil samples from five agricultural areas in different parts of the Czech Republic. Spectral measurements at both laboratories were made using different ASD spectroradiometers. The CULS protocol was based on employing a contact probe (CP) spectral measurement scheme, while the TAU protocol was carried out using a CP measurement method, accompanied with the internal soil standard (ISS) procedure. Two spectral datasets, acquired from different protocols, were both analyzed using partial least square regression (PLSR) technique as well as the PARACUDA II ® , a new data mining engine for optimizing PLSR models. The results showed that spectra based on the CULS setup (non-ISS) demonstrated significantly higher albedo intensity and reflectance values relative to the TAU setup with ISS. However, the majority of statistics using the TAU protocol was not noticeably better than the CULS spectra. The paper also highlighted that under both measurement protocols, the PARACUDA II ® engine proved to be a powerful tool for providing better results than PLSR. Such initiative is not only a way to unlock current limitations of soil spectroscopy, but also offers considerable efficiency and cost-and time-saving possibilities, which lead to further improvements in prediction performance of spectral models.

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Section: Paracuda II ® On Culs and Tau Spectral Datasetsmentioning

confidence: 98%

Section: Tau Protocolmentioning

confidence: 99%

Section: Tau Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

et al. 2017

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Hyperspectral Proximal Sensing Instruments and Their Applications for Exploration Through Cover

Laukamp

LeGras

Lau

2021

Portable Spectroscopy and Spectrometry

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Evaluating the capability of a UAV‐borne spectrometer for soil organic carbon mapping in bare croplands

Shi

Crucil

et al. 2021

Land Degrad Dev

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High-resolution, field-scale soil organic carbon (SOC) mapping in croplands is crucial for effective and precise agricultural management. Recent developments in unmanned aerial vehicles (UAVs) combined with miniaturized visible-near infrared spectrometers have enabled the rapid and low-cost field-scale SOC mapping. However, a field-specific spectrotransfer model is often needed for such UAV-based hyperspectral measurements, implying local sampling and model development are still required, and this hampers the widespread application of UAV-based methods. In this study, we aim to test to what extent SOC prediction models derived from an existing regional soil spectral library (SSL) can be applied to UAV-based hyperspectral data, without the need for additional field sampling. To this end, an UAV survey was conducted over a bare cropland within the Belgian Loam Belt for field-scale SOC mapping. We evaluated two calibration approaches, one based on local sampling and model development, and one where we capitalized on an existing (laboratory-based) regional SSL. For the local calibration approach, we obtained a good prediction performance with RMSE of 0.57 g kg À1 and RPIQ of 2.35. For the regional model, a spectral alignment procedure was needed to resolve the discrepancy between UAVand laboratory-based measurements. This resulted in a fair SOC prediction accuracy with RMSE of 0.93 g kg À1 and RPIQ of 1.45. The comparison of SOC maps derived from the two approaches, along with an external validation showed a high consistency, indicating that UAV-based spectral measurements, in combination with SSLs have the potential to improve the efficiency of high-resolution SOC mapping.

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Reflectance measurements of soils in the laboratory: Standards and protocols

Cited by 157 publications

References 22 publications

Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

Hyperspectral Proximal Sensing Instruments and Their Applications for Exploration Through Cover

Evaluating the capability of a UAV‐borne spectrometer for soil organic carbon mapping in bare croplands

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