Efficient hydrogeological characterization of remote stream corridors using drones

Briggs, Martin A.; Dawson, Cian B.; Holmquist-Johnson, Christopher L.; Williams, Kenneth H.; Lane, John W.

doi:10.1002/hyp.13332

Cited by 21 publications

(17 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These techniques will likely become pivotal in generating new, more detailed insights into the functioning of surface saturated area variability and dynamics. Similarly to ground‐based TIR, other techniques based on temperature detection (such as thermal imagery from unmanned aerial vehicles and fibre optic distribute temperature sensing) can also provide observation at high spatial (i.e., centimetres to kilometres) and temporal (i.e., minutes to weeks) resolutions, although until today, they have been primarily employed for the characterization of longitudinal stream temperatures and detection of GW exfiltration (Briggs, Dawson, Holmquist‐Johnson, Williams, & Lane, ; Selker, van de Giesen, Westhoff, Luxemburg, & Parlange, ). Within the 64 reviewed studies, 11 did not report clear information on the spatial and temporal scales at which surface saturation was addressed.…”

Section: Introductionmentioning

confidence: 99%

Saturated areas through the lens: 1. Spatio‐temporal variability of surface saturation documented through thermal infrared imagery

Antonelli

Glaser

Teuling

et al. 2020

Hydrological Processes

View full text Add to dashboard Cite

Surface saturated areas are key features in generating run‐off. A detailed characterization of the expansion and contraction of surface saturation in riparian zones and its connectivity to the stream is fundamental to improve our understanding of the spatial and temporal variability of streamflow generation processes. In this first contribution of a series of two papers, we used ground‐based thermal infrared imagery for characterizing riparian surface saturation seasonal dynamics of seven different riparian areas in the Weierbach catchment (0.42 km2), a small forested catchment in Luxembourg. We collected biweekly panoramic images of the seven areas over a period of 2 years. We identified the extension of saturation in each collected panoramic image (i.e., percentage of pixels corresponding to saturated surfaces in each riparian area) to generate time series of surface saturation. Riparian surface saturation in all areas was seasonally variable, and its dynamics were in accordance with lower hillslope groundwater level fluctuations. Surface saturation in the different areas related to catchment outlet discharge through power law relationships. Differences in these relationships for different areas could be associated with the location of the areas along the stream network and to a possible influence of local riparian morphology on the development of surface saturation, suggesting a certain degree of intracatchment heterogeneity. This study paves the way for a subsequent investigation of the spatio‐temporal variability of streamflow generation in the catchment, presented in our second contribution.

show abstract

Section: Introductionmentioning

confidence: 99%

Saturated areas through the lens: 1. Spatio‐temporal variability of surface saturation documented through thermal infrared imagery

Antonelli

Glaser

Teuling

et al. 2020

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…Although early examples of UAS-based TIR (e.g., Jensen, Neilson, McKee, & YangQuan, 2012;Lee et al, 2016;Wawrzyniak, Piégay, Allemand, Vaudor, & Grandjean, 2013) used conventional "handheld" thermal imaging cameras mounted to larger drones, advances in TIR sensor miniaturisation have heralded a new generation of compact TIR cameras that are integrated fully with sUAS. However, the only articles in the peer-reviewed literature demonstrating the use of these miniaturised systems in the river sciences (Abolt, Caldwell, Wolaver, & Pai, 2018;Briggs, Dawson, Holmquist-Johnson, Williams, & Lane, 2018) focus on their use for monitoring groundwater-surface water exchange. No study has formally assessed the performance of these solutions for monitoring river temperature heterogeneity, particularly at spatial scales amenable to the enhanced understanding and management of river temperature regimes.…”

mentioning

confidence: 99%

Assessing the potential of drone‐based thermal infrared imagery for quantifying river temperature heterogeneity

Dugdale

Kelleher

Malcolm

et al. 2019

Hydrological Processes

View full text Add to dashboard Cite

Climate change is altering river temperature regimes, modifying the dynamics of temperature‐sensitive fishes. The ability to map river temperature is therefore important for understanding the impacts of future warming. Thermal infrared (TIR) remote sensing has proven effective for river temperature mapping, but TIR surveys of rivers remain expensive. Recent drone‐based TIR systems present a potential solution to this problem. However, information regarding the utility of these miniaturised systems for surveying rivers is limited. Here, we present the results of several drone‐based TIR surveys conducted with a view to understanding their suitability for characterising river temperature heterogeneity. We find that drone‐based TIR data are able to clearly reveal the location and extent of discrete thermal inputs to rivers, but thermal imagery suffers from temperature drift‐induced bias, which prevents the extraction of accurate temperature data. Statistical analysis of the causes of this drift reveals that drone flight characteristics and environmental conditions at the time of acquisition explain ~66% of the variance in TIR sensor drift. These results shed important light on the factors influencing drone‐based TIR data quality and suggest that further technological development is required to enable the extraction of robust river temperature data. Nonetheless, this technology represents a promising approach for augmenting in situ sensor capabilities and improved quantification of advective inputs to rivers at intermediate spatial scales between point measurements and “conventional” airborne or satellite remote sensing.

show abstract

“…However, there have been few sUAS studies on water quality monitoring. Thermal imagery has been used for contamination detection and monitoring [24][25][26][27]. sUAS multispectral imagery has been used for turbidity monitoring in small reservoirs with little success because of model overfit [28] and on small lakes with coarser resolution [29].…”

Section: Introductionmentioning

confidence: 99%

Measuring High Levels of Total Suspended Solids and Turbidity Using Small Unoccupied Aerial Systems (sUAS) Multispectral Imagery

Prior

O'Donnell

Brodbeck

et al. 2020

Drones

View full text Add to dashboard Cite

Due to land development, high concentrations of suspended sediment are produced from erosion after rain events. Sediment basins are commonly used for the settlement of suspended sediments before discharge. Stormwater regulations may require frequent sampling and monitoring of these basins, both of which are time and labor intensive. Potential remedies are small, unoccupied aerial systems (sUAS). The goal of this study was to demonstrate whether sUAS multispectral imagery could measure high levels of total suspended solids (TSS) and turbidity in a sediment basin. The sediment basin at the Auburn University Erosion and Sediment Control Testing Facility was used to simulate a local 2-year, 24-h storm event with a 30-min flow rate. Water samples were collected at three depths in two locations every 15 min for six hours with corresponding sUAS multispectral imagery. Multispectral pixel values were related to TSS and turbidity in separate models using multiple linear regressions. TSS and turbidity regression models had coefficients of determination (r2) values of 0.926 and 0.851, respectively. When water column measurements were averaged, the r2 values increased to 0.965 and 0.929, respectively. The results indicated that sUAS multispectral imagery is a viable option for monitoring and assessing sediment basins during high-concentration events.

show abstract

Efficient hydrogeological characterization of remote stream corridors using drones

Cited by 21 publications

References 16 publications

Saturated areas through the lens: 1. Spatio‐temporal variability of surface saturation documented through thermal infrared imagery

Saturated areas through the lens: 1. Spatio‐temporal variability of surface saturation documented through thermal infrared imagery

Assessing the potential of drone‐based thermal infrared imagery for quantifying river temperature heterogeneity

Measuring High Levels of Total Suspended Solids and Turbidity Using Small Unoccupied Aerial Systems (sUAS) Multispectral Imagery

Contact Info

Product

Resources

About