Combined electromagnetic geophysical mapping at Arctic perennial saline springs: Possible applications for the detection of water in the shallow subsurface of Mars

Samson, C.; Mah, Jason; Haltigin, T.; Holladay, S.; Ralchenko, M.; Pollard, W. H.; Santos, Fernando A. Monteiro

doi:10.1016/j.asr.2017.02.016

Cited by 6 publications

(5 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The higher the soil moisture, dissolved salt, and clay content, the shallower the detection depth of GPR. They strongly control the variation of GPR amplitude, thereby affecting the accuracy of soil layer interface identification (Butnor et al., 2014; Kumar et al., 2016; Samson et al., 2017). However, GPR has many applications in high pH soil areas, including the identification of saline or alkaline soil layers (Kumar et al., 2016; Maury & Balaji, 2015; Samson et al., 2017), boundary detection between arable land and saline–alkaline land (Wang, Li, et al., 2016), influence analysis of soil salinity on GPR images (Kumar et al., 2016; Maury & Balaji, 2015), and assessment of salinity changes in vertical profiles (Peng et al., 2009; Samson et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

“…They strongly control the variation of GPR amplitude, thereby affecting the accuracy of soil layer interface identification (Butnor et al., 2014; Kumar et al., 2016; Samson et al., 2017). However, GPR has many applications in high pH soil areas, including the identification of saline or alkaline soil layers (Kumar et al., 2016; Maury & Balaji, 2015; Samson et al., 2017), boundary detection between arable land and saline–alkaline land (Wang, Li, et al., 2016), influence analysis of soil salinity on GPR images (Kumar et al., 2016; Maury & Balaji, 2015), and assessment of salinity changes in vertical profiles (Peng et al., 2009; Samson et al., 2017). Statistical and neural network methods are used to build empirical models among the soil salt content, dielectric permittivity and amplitude value of GPR signals under different soil moisture and texture conditions (Scudiero et al., 2012).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigating soil layers with ground penetrating radar in the modern Yellow River Delta of China

Wang,

Li,

Min

et al. 2024

Near Surface Geophysics

View full text Add to dashboard Cite

Soil layers affect the vertical movement of moisture and salt, eventually resulting in land cover and land use pattern changes. This study explored the ability of ground penetrating radar (GPR) to detect soil layers in the modern Yellow River Delta of China and assessed its accuracy. It was found that soil moisture and salt had a strong dampening effect on the electromagnetic wave signal which resulted in blurred GPR images of the soil profile below 1 m. The cultivated soil layers of different crop types such as rice, wheat, corn, and cotton were accurately identified in GPR images. To estimate an individual soil layer thickness, the propagation velocity of the electromagnetic wave was calculated using soil mass moisture content, and the propagation time was confirmed by comparing the GPR image with the amplitude‐time plot of the soil profile. The estimated thickness was 1.02 times the thickness determined in the field and the average estimation error was 0.04 m, which was 24.09% of the soil layer thickness determined in the field. The second derivative value of envelope amplitude energy with time (SDEA) was used to describe the amplitude change in the soil layers. The SDEA has negative logarithmic and power function relationships with soil mass moisture content and electrical conductivity, respectively. The present results provide a reference database for future quantitative soil investigation in the sedimentary plain area using GPR.This article is protected by copyright. All rights reserved

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating soil layers with ground penetrating radar in the modern Yellow River Delta of China

Wang,

Li,

Min

et al. 2024

Near Surface Geophysics

View full text Add to dashboard Cite

show abstract

“…Doolittle et al [2007] found the saline soil (saturated conductivity higher than 4 mS/cm) and sodium soil (sodium absorption more than 13) not suitable for the application of GPR. However, there are still many achievements in the application of GPR in the saline soil area, including the extraction of soil alkaline layer [Maury & Balaji, 2015;Kumar et al, 2016;Samson et al, 2017], the distinction of soil boundary between arable land and saline-alkaline land, the analysis of the influence of soil salinity on GPR spectrum images [Maury & Balaji, 2015;Kumar et al, 2016], and the assessment of salinity changes in the depth direction [Peng et al, 2009;Samson et al, 2017].…”

Section: Introductionmentioning

confidence: 99%

“…Through the plot tests in the Yellow River Delta, it was found that GPR can distinguish soil profiles with different vegetation coverage (bare land, reed, suaeda salsa, thatch) or growth conditions (in a wheat field, some parts are bare, some parts where wheat does not grow densely, and some parts where wheat grows densely) along the survey line with the horizontal discrimination error mostly less than 0.5m; it can detect soil layers within 1 m depth with the vertical discrimination error less than 0.1 m [Wang et al, 2016b;Wang et al, 2017]. Soil water, salt and clay content have a close impact on EM wave, affecting the strength of reflected signal and the picking accuracy of soil interface [Butnor et al, 2014;Samson et al, 2017]. Ju [2005] found that the dielectric permittivity of drying soil was negatively correlated with the content of soil organic matter, and Xue et al [2005] quantitatively evaluate the degree of soil salinization with the correlation between high and medium frequency peak values and soil organic matter content.…”

Section: Introductionmentioning

confidence: 99%

Soil profile stratigraphy detected by ground penetrating radar in the modern Yellow River Delta

Wang¹,

Min

et al. 2023

Preprint

View full text Add to dashboard Cite

Soil profile stratigraphy plays a fundamental role in the vertical movement of soil water and salt, land cover and land use pattern change in the modern Yellow River Delta. We investigated typical soil profiles with ground penetrating radar (GPR) of 250 MHz antenna according to the tail wing changes over the past 130 years, calculated soil dielectric permittivity and electromagnetic wave propagation velocity with measured soil water content, acquired the electromagnetic wave propagation time from the amplitudetime matrix and finally calculated the thickness of different soil layers. The results showed that GPR can identify the 0-1m soil profile stratigraphy, and soil cultivation layer under different land use patterns is clearly discernible. The comparison of GPR spectrum image and amplitude-time plot is helpful to reduce the estimation error of soil layer thickness. The average error of the estimated soil layer thickness is 0.040m and the error of 54 soil layers in total 58 soil layers is less than 0.100m. The comprehensive effect of soil physical and chemical characteristics affects the electromagnetic wave signals and the profile stratigraphy identification. The more similar the morphological characteristics of spectral images are, the closer the soil properties are. The compound effect of soil water and salt is strong, and the second derivative values of envelop amplitude energy have negative logarithmic function and power function with soil water content and electrical conductivity values, respectively. This study indicated the feasibility of using GPR to investigate coastal saline soil stratigraphy in the modern Yellow River Delta.

show abstract

“…At ‘local’ scale, detailed magnetic mapping can identify magnetic targets of scientific interest, locate subsurface geological features, which may host signs of extremophile development, and help to inform the precise locations where to perform astrobiological tests. Examples include the detection of small faults, which might be pathways for gas seepage to the surface (methane being of particular interest) (Boivin et al 2013; Qadi et al 2015), the delineation of feeder systems of hot springs, which are hosts to extremophiles (Samson et al 2017) and the tracking of lava tubes in the subsurface (Meglich et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Robotic magnetic mapping with the Kapvik planetary micro-rover

Hay

Samson

Ellery

2017

International Journal of Astrobiology

Self Cite

View full text Add to dashboard Cite

Geomagnetic data gathering by micro-rovers is gaining momentum both for future planetary exploration missions and for terrestrial applications in extreme environments. This paper presents research into the integration of a planetary micro-rover with a potassium total-field magnetometer. The 40 kg Kapvik micro-rover is an ideal platform due to an aluminium construction and a rocker-bogie mobility system, which provides good manoeuvrability and terrainability. A light-weight GSMP 35U (uninhabited aerial vehicle) magnetometer, comprised of a 0.65 kg sensor and 0.63 kg electronics module, was mounted to the chassis via a custom 1.21 m composite boom. The boom dimensions were optimized to be an effective compromise between noise mitigation and mechanical practicality. An analysis using the fourth difference method was performed estimating the magnetic noise envelope at ±0.03 nT at 10 Hz sampling frequency from the integrated systems during robotic operations. A robotic magnetic survey captured the total magnetic intensity along three parallel 40 m long lines and a perpendicular 15 m long tie line over the course of 3.75 h. The total magnetic intensity data were corrected for diurnal variations, levelled by linear interpolation of tie-line intersection points, corrected for a regional gradient, and then interpolated using Delaunay triangulation to lead a residual magnetic intensity map. This map exhibited an anomalous linear feature corresponding to a magnetic dipole 650 nT in amplitude. This feature coincides with a storm sewer buried approximately 2 m in the subsurface. This work provides benchmark methodologies and data to guide future integration of magnetometers on board planetary micro-rovers.

show abstract

Combined electromagnetic geophysical mapping at Arctic perennial saline springs: Possible applications for the detection of water in the shallow subsurface of Mars

Cited by 6 publications

References 32 publications

Investigating soil layers with ground penetrating radar in the modern Yellow River Delta of China

Investigating soil layers with ground penetrating radar in the modern Yellow River Delta of China

Soil profile stratigraphy detected by ground penetrating radar in the modern Yellow River Delta

Robotic magnetic mapping with the Kapvik planetary micro-rover

Contact Info

Product

Resources

About