Characterization of Soil Properties Using Reflectance Spectroscopy

Ben‐Dor, Eyal; Chabrillat, Sabine; Demattê, José Alexandre Melo

doi:10.1201/9781315164151-8

Cited by 9 publications

(6 citation statements)

References 1 publication

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“…According to Demattê et al [ 46 ], Stenberg et al [ 47 , 48 ], and Whiting et al [ 49 ], the bands at 1400, 1900, and 2000 nm are produced by OH-groups and water molecule movements, and reflection at 2200 nm indicates the existence of kaolinite and other silicates [ 50 ]. Ben–Dor [ 51 ] described three major areas for clay minerals in general and smectite minerals, particularly around 1300–1400, 1800–1900, and 2200-2500 nm.…”

Section: Resultsmentioning

confidence: 99%

An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay-Rich Soil

Heil

Schmidhalter

2021

Sensors

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Near-infrared reflectance spectroscopy (NIRS) was successfully used in this study to measure soil properties, mainly C and N, requiring spectral pre-treatments. Calculations in this evaluation were carried out using multivariate statistical procedures with preceding pre-treatment procedures of the spectral data. Such transformations could remove noise, highlight features, and extract essential wavelengths for quantitative predictions. This frequently significantly improved the predictions. Since selecting the appropriate transformation was not straightforward due to the large numbers of available methods, more comprehensive insight into choosing appropriate and optimized pre-treatments was required. Therefore, the objectives of this study were (i) to compare various pre-processing transformations of spectral data to determine their suitability for modeling soil C and N using NIR spectra (55 pre-treatment procedures were tested), and (ii) to determine which wavelengths were most important for the prediction of C and N. The investigations were carried out on an arable field in South Germany with a soil type of Calcaric Fluvic Relictigleyic Phaeozem (Epigeoabruptic and Pantoclayic), created in the flooding area of the Isar River. The best fit and highest model accuracy for the C (Ct, Corg, and Ccarb) and N models in the calibration and validation modes were achieved using derivations with Savitzky–Golay (SG). This enabled us to calculate the Ct, Corg, and N with an R2 higher than 0.98/0.86 and an ratio of performance to the interquartile range (RPIQ) higher than 10.9/4.1 (calibration/validation).

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Section: Resultsmentioning

confidence: 99%

An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay-Rich Soil

Heil

Schmidhalter

2021

Sensors

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“…Spectroscopy is another promising technique for the continuous soil monitoring due to their fast, environmental-friendly, nondestructive, and repeatable properties. − Infrared (IR) spectroscopic technique has been used as the real-time continuous and spatiotemporal measurement tool for soil quality/health monitoring. − Given the impact of different vibrational energies from the spectra, the IR spectroscopy is sensitive to varying soil parameters (e.g., pH, soil moisture, SOM) and environmental conditions (Figure ). , Although acquiring the spectroscopic data (wavelengths) is a feasible and rapid procedure, many external soil environmental factors (e.g., soil texture, soil surface roughness, and atmosphere condition) have been found to interfere with soil surface measurements in the scanning area (Table ). , Specifically, large particles reflect less energy because of larger void spaces between particles and cause additional scattering and absorption of light .…”

Section: Current Status and Major Challenges Of Rtcsm Data Acquisitionmentioning

confidence: 99%

A Critical Review for Real-Time Continuous Soil Monitoring: Advantages, Challenges, and Perspectives

Fan

Wang

Funk

et al. 2022

Environ. Sci. Technol.

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Most soil quality measurements have been limited to laboratory-based methods that suffer from time delay, high cost, intensive labor requirement, discrete data collection, and tedious sample pretreatment. Real-time continuous soil monitoring (RTCSM) possesses a great potential to revolutionize field measurements by providing first-hand information for continuously tracking variations of heterogeneous soil parameters and diverse pollutants in a timely manner and thus enable constant updates essential for system control and decision-making. Through a systematic literature search and comprehensive analysis of state-of-the-art RTCSM technologies, extensive discussion of their vital hurdles, and sharing of our future perspectives, this critical review bridges the knowledge gap of spatiotemporal uninterrupted soil monitoring and soil management execution. First, the barriers for reliable RTCSM data acquisition are elucidated by examining typical soil monitoring techniques (e.g., electrochemical and spectroscopic sensors). Next, the prevailing challenges of the RTCSM sensor network, data transmission, data processing, and personalized data management are comprehensively discussed. Furthermore, this review explores RTCSM data application for updating diverse strategies including high-fidelity soil process models, control methodologies, digital soil mapping, soil degradation, food security, and climate change mitigation. Finally, the significance of RTCSM implementation in agricultural and environmental fields is underscored through illuminating future directions and perspectives in this systematic review.

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“…The introduced high spectroscopy measures for fixed wavelength using multispectral sensors, which is associated with some limitations, especially for quantitative measurements on SOC (Ben-Dor et al, 2018). Therefore, recent developments on hyperspectral sensors show an improved approach with higher capability for quantitative data over large areas.…”

Section: Remote Sensingmentioning

confidence: 99%

Measuring and monitoring soil carbon sequestration

Vetter¹,

Smith²

2022

Burleigh Dodds Series in Agricultural Science

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The monitoring, reporting and verification (MRV) of soil organic carbon (SOC) sequestration following management changes is complex due to the multitude of influencing factors related to ecosystem processes but also due to (socio-)economic or legal requirements. Several protocols for MRV applications have been published. In this chapter we will provide an overview about available systems and their advantages and limitations. There is a wide range of options to quantify SOC changes, but most of these options have limitations. Field measurements, including periodic on site measurements, short-term experiments and long-term monitoring are time consuming, cost and labour intensive. On the other hand modelling, and/or remote sensing approaches are associated with uncertainty, and/or data demand. Therefore, an effective MRV application should be a combination of different approaches. This chapter will discuss the different aspects, which will be picked up in the other chapters of this section that will present more details on quantification options.

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Characterization of Soil Properties Using Reflectance Spectroscopy

Cited by 9 publications

References 1 publication

An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay-Rich Soil

An Evaluation of Different NIR-Spectral Pre-Treatments to Derive the Soil Parameters C and N of a Humus-Clay-Rich Soil

A Critical Review for Real-Time Continuous Soil Monitoring: Advantages, Challenges, and Perspectives

Measuring and monitoring soil carbon sequestration

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