Geophysical Sensors for Mapping Soil Layers – A Comparative Case Study Using Different Electrical and Electromagnetic Sensors

Lück, Erika; Guillemoteau, Julien; Tronicke, Jens; Klose, Jana; Trost, Benjamin

doi:10.1007/978-3-030-84144-7_11

Cited by 2 publications

(2 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While companies have taken advantage of improved underpinning digital technologies and consequently the range of commercially available instruments has expanded, the core types of sensors available have seen more modest expansion. Consequently, when looking at instruments available commercially, the important differences in their capabilities lie in how the instruments are configured and how the data are calibrated and processed (Adamchuk et al 2021;Lück et al 2022). Two frequency domain electromagnetic induction instruments may have different coil spacings, giving them different depths of investigation, while two narrowband multispectral cameras producing vegetative vigour indexes such as 'NDVI' as a data layer may use slightly different band configurations or built-in calibrations.…”

Section: Sensor Diversitymentioning

confidence: 99%

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

Opitz¹,

Baldwin²,

Smedt³

et al. 2023

Internet Archaeol.

View full text Add to dashboard Cite

Remote and near surface sensing data are widely used in archaeology and heritage management for feature discovery, change detection and monitoring, as an input to predictive modelling, and in the planning process. While global and regional datasets are widely used for some purposes, data are regularly acquired specifically for archaeological projects because of the very high spatial resolution required for feature detection and assessments of archaeological significance and the need for data on subsurface features. The sensing data collected for archaeology cover limited areas and only a few types of sensors, known to produce data efficiently, are regularly employed. Precision agriculture is beginning to produce large quantities of varied sensing data across extensive landscape areas. This situation creates an opportunity to adapt and reuse precision agricultural data for archaeology and heritage work, extending covering and enhancing our understanding of archaeology in contemporary agricultural landscapes. Equally, there is potential for coordinated data collection, collecting data once for multiple applications, and to add value through analyses which bring together perspectives from multiple related domains to model long-term processes in anthropogenic soil systems. This article provides a high-level overview of policy and technological developments which create the potential for sensing data reuse, coordinated data collection, and collaborative analyses across archaeological, agricultural, and agri-environmental applications while underscoring the structural barriers which, at present, constrain this potential. It highlights examples where the development of interoperable data and workflows can promote tighter integration of archaeology and cultural heritage management with sustainable agricultural land management and support integrated decision making.

show abstract

Section: Sensor Diversitymentioning

confidence: 99%

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

Opitz¹,

Baldwin²,

Smedt³

et al. 2023

Internet Archaeol.

View full text Add to dashboard Cite

show abstract

“…The bucking coil cuts off the primary influence at the receiver coil (Calamita et al 2015). The MF-EMI instruments with slingram geometry (dipole-dipole) can be used for conventional soil characterization (Lück et al 2022) as well as simultaneous mapping of soil EC a and magnetic susceptibility (Sadatcharam et al 2020). Altdorff et al (2020) compared the performance of MF and MC EMI sensors in shallow podzols and concluded superior performance from the MF sensor.…”

Section: Introductionmentioning

confidence: 99%

Multifrequency electromagnetic induction soil moisture characterization under different land uses in western Newfoundland

et al. 2023

View full text Add to dashboard Cite

Identifying and characterizing the spatial patterns in soil moisture variability under different land use conditions is crucial for agriculture, forestry, civil and environmental engineering. Yet employing multi-frequency electromagnetic induction (EMI) techniques to carry out this task is under-represented in boreal podzolic soils. This study: (i) compared four frequencies (2.8 ~ 80 kHz) for shallow mapping of soil moisture measured with a time-domain reflectometry at 0 – 20 cm soil depth under three different land-use conditions (agricultural land, field road, and a recently cleared natural forest), (ii) developed a relationship between apparent electrical conductivity (ECa) measured using multi-frequency EMI (GEM-2) and soil moisture and (iii) assessed the effectiveness of ECa as an auxiliary variable in predicting soil moisture variations under different land use conditions. The means of ECa measurements were calculated for the exact sampling location (ground truth data) in each land use condition at a research site, Pasadena, Newfoundland. Soil moisture–ECa linear regression models for the three land-use conditions were only statistically significant for 38.3 kHz frequency and were further analyzed. Further statistical analysis revealed that ECa was primarily controlled by soil moisture for the three land-use conditions, with the natural forest possessing the highest mean ECa and soil moisture. Geostatistical analysis revealed that cokriging ECa with less densely collected soil moisture improved the characterization accuracy of soil moisture variability across the different land use conditions. These results reveal the effectiveness of the georeferenced MF–EMI technique to rapidly assess intra-field soil moisture variability under different land uses.

show abstract

Geophysical Sensors for Mapping Soil Layers – A Comparative Case Study Using Different Electrical and Electromagnetic Sensors

Cited by 2 publications

References 54 publications

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

Multifrequency electromagnetic induction soil moisture characterization under different land uses in western Newfoundland

Contact Info

Product

Resources

About