A new drone-borne GPR for soil moisture mapping

Wu, Kang; Rodriguez, Gabriela Arambulo; Zajc, Marjana; Jacquemin, E.; Michiels, Clement; Coster, Albéric De; Lambot, Sébastien

doi:10.1016/j.rse.2019.111456

Cited by 115 publications

(47 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thermal imaging was not considered in the reviewed articles. Recently, UAV-based methods that are based on ground-penetrating radar [108] and synthetic aperture radar [109] also began to emerge. An accurate knowledge of the moisture conditions could be exploited to improve the efficiency of pest and disease detection by targeting the detection at the parts of the field where pests and diseases are most likely to occur.…”

Section: Discussionmentioning

confidence: 99%

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

et al. 2021

View full text Add to dashboard Cite

The development of UAV (unmanned aerial vehicle) imaging technologies for precision farming applications is rapid, and new studies are published frequently. In cases where measurements are based on aerial imaging, there is the need to have ground truth or reference data in order to develop reliable applications. However, in several precision farming use cases such as pests, weeds, and diseases detection, the reference data can be subjective or relatively difficult to capture. Furthermore, the collection of reference data is usually laborious and time consuming. It also appears that it is difficult to develop generalisable solutions for these areas. This review studies previous research related to pests, weeds, and diseases detection and mapping using UAV imaging in the precision farming context, underpinning the applied reference measurement techniques. The majority of the reviewed studies utilised subjective visual observations of UAV images, and only a few applied in situ measurements. The conclusion of the review is that there is a lack of quantitative and repeatable reference data measurement solutions in the areas of mapping pests, weeds, and diseases. In addition, the results that the studies present should be reflected in the applied references. An option in the future approach could be the use of synthetic data as reference.

show abstract

Section: Discussionmentioning

confidence: 99%

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

et al. 2021

View full text Add to dashboard Cite

show abstract

“…However, some authors propose prototypes to mount the GPR on an UAV [334]. This approach requires the design of novel portable antennas [335]. Some proposed devices provide promising results, although the antennas could be improved in order to enhance the signal-tonoise ratio, and additional tests are therefore needed to validate the results and to calibrate the equipment [336].…”

Section: Final Remarks and Future Perspectivesmentioning

confidence: 99%

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

2021

View full text Add to dashboard Cite

The non-destructive testing and diagnosis of transport infrastructures is essential because of the need to protect these facilities for mobility, and for economic and social development. The effective and timely assessment of structural health conditions becomes crucial in order to assure the safety of the transportation system and time saver protocols, as well as to reduce excessive repair and maintenance costs. Ground penetrating radar (GPR) is one of the most recommended non-destructive methods for routine subsurface inspections. This paper focuses on the on-site use of GPR applied to transport infrastructures, namely pavements, railways, retaining walls, bridges and tunnels. The methodologies, advantages and disadvantages, along with up-to-date research results on GPR in infrastructure inspection are presented herein. Hence, through the review of the published literature, the potential of using GPR is demonstrated, while the main limitations of the method are discussed and some practical recommendations are made.

show abstract

“…While some of these multispectral sensors are geared to obtain RGB along with the wider-band spectra of near infrared and red edge, some are more directly engineered to obtain just the necessary spectral bands to calculate specific environmental health indices, such as the normalized difference vegetation index (NDVI) that compares red and near-infrared reflectance. Active sensors can include compact lidar systems and certain types of radar, like ground penetrating radar (Wu et al, 2019). Finally, mechanical payloads have been engineered to enable UASs to collect water samples (see review by Lally et al, 2019), deliver herbicides and pesticides (Rodriguez et al, 2017), and even disperse seeds (Stone, 2017).…”

Section: Payloadsmentioning

confidence: 99%

“…Basic RGB sensors can be used in conjunction with rhodamine applications to track flow dynamics (Powers et al, 2018) through the landscape. A UAS could be outfitted with ground penetrating radar to measure soil moisture (Wu et al, 2019), an important factor for wetland vegetation health. Soil type, quality and moisture are essential components for planning where and how to plant wetland vegetation.…”

Section: Marine Ecosystem Restoration Designmentioning

confidence: 99%

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

Ridge

Johnston

2020

Front. Mar. Sci.

View full text Add to dashboard Cite

Assessing, implementing and monitoring ecosystem restoration can be a labor intensive process, often short term (<3 years), and potentially destructive to the habitat. Advances in remote sensing technology are generating rapid, non-destructive methods for siting, executing and monitoring restoration efforts, particularly in fragile marine environments. Unoccupied aircraft systems (UAS), or drones, are a highly flexible method for accessing and remote sensing ecosystems with on-demand capabilities, greater resolution than sensors from satellites and occupied aircraft, and the ability to cover large areas quickly. With the variety of platforms and payloads available, UASs are providing a suite of tools for conservation practitioners to properly plan marine ecosystem restoration projects and evaluate their success. Both conventional and specialized sensors coupled with image processing techniques can be used to gauge impact to and recovery of entire ecological communities. For example, high-resolution, multispectral imaging allows for discernment of population changes across trophic levels, concurrent with the discrimination of species (including rare) across a landscape, and detection of vegetation stress. Structure from Motion photogrammetric processing provides centimeter-scale three-dimensional models of habitat structure to measure ecologically significant aspects like rugosity and assess their change through time. Water quality around a broad impacted area can be remotely monitored via a number of payloads before and after restoration. Additionally, specially designed payloads can be used to manually disperse seeds or materials for restoration applications without disturbing the habitat. UASs have increasing potential to reduce the costs (both time and money) associated with restoration efforts, making site assessment and long-term, broad-scale monitoring more achievable. Here we present a review of the applications of UASs in marine ecosystem restoration with an overview of the special considerations of using this technology in the marine environment.

show abstract

A new drone-borne GPR for soil moisture mapping

Cited by 115 publications

References 30 publications

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

Contact Info

Product

Resources

About