Spatial distribution of thermal refuges analysed in relation to riverscape hydromorphology using airborne thermal infrared imagery

Dugdale, Stephen J.; Bergeron, Normand; St‐Hilaire, André

doi:10.1016/j.rse.2014.12.021

Cited by 121 publications

(140 citation statements)

References 68 publications

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“…While EO data 605 are now used routinely for marine observation, river applications are constrained by spatial 606 resolution, and costs for data acquisition, particularly for new platforms (e.g. Dugdale et al, 2015). 607 However, the spatial resolution of new sensors and platforms, such as PACE / Worldview-3, at >1m, 608 opens opportunities to capture spatial trends in nutrient dynamics (e.g.…”

Section: Catchment Variability In Nutrient Dynamics 424mentioning

confidence: 99%

Real-time monitoring of nutrients and dissolved organic matter in rivers: Capturing event dynamics, technological opportunities and future directions

Blaen

Khamis

Lloyd

et al. 2016

Science of The Total Environment

129

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Section: Catchment Variability In Nutrient Dynamics 424mentioning

confidence: 99%

Real-time monitoring of nutrients and dissolved organic matter in rivers: Capturing event dynamics, technological opportunities and future directions

Blaen

Khamis

Lloyd

et al. 2016

Science of The Total Environment

129

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“…TIR cameras sense and quantify surface infrared (heat) radiation and are increasingly being used to evaluate aquatic systems efficiently on large scales (Chen et al, 2009;Deitchman and Loheide, 2009;Dugdale et al, 2016;Handcock et al, 2012;Hare et al, 2015), particularly at large sites, or sites where in situ measurements are not possible. The hand-held TIR survey was conducted to both expand the thermal survey and to compare this method to the FO-DTS data.…”

Section: Infrared Surveysmentioning

confidence: 99%

Hydrogeological controls on spatial patterns of groundwater discharge in peatlands

Hare

Boutt

Clement

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Peatland environments provide important ecosystem services including water and carbon storage, nutrient processing and retention, and wildlife habitat. However, these systems and the services they provide have been degraded through historical anthropogenic agricultural conversion and dewatering practices. Effective wetland restoration requires incorporating site hydrology and understanding groundwater discharge spatial patterns. Groundwater discharge maintains wetland ecosystems by providing relatively stable hydrologic conditions, nutrient inputs, and thermal buffering important for ecological structure and function; however, a comprehensive site-specific evaluation is rarely feasible for such resource-constrained projects. An improved process-based understanding of groundwater discharge in peatlands may help guide ecological restoration design without the need for invasive methodologies and detailed sitespecific investigation.Here we examine a kettle-hole peatland in southeast Massachusetts historically modified for commercial cranberry farming. During the time of our investigation, a large process-based ecological restoration project was in the assessment and design phases. To gain insight into the drivers of site hydrology, we evaluated the spatial patterning of groundwater discharge and the subsurface structure of the peatland complex using heat-tracing methods and groundpenetrating radar. Our results illustrate that two groundwater discharge processes contribute to the peatland hydrologic system: diffuse lower-flux marginal matrix seepage and discrete higher-flux preferential-flow-path seepage. Both types of groundwater discharge develop through interactions with subsurface peatland basin structure, often where the basin slope is at a high angle to the regional groundwater gradient. These field observations indicate strong correlation between subsurface structures and surficial groundwater discharge. Understanding these general patterns may allow resource managers to more efficiently predict and locate groundwater seepage, confirm these using remote sensing technologies, and incorporate this information into restoration design for these critical ecosystems.

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“…These discrete inputs of cool or warm water often play a crucial role in the provision of thermal refuges (Daigle, Jeong, & Lapointe, ; Ebersole, Wigington, Leibowitz, Comeleo, & Sickle, ; Kurylyk, MacQuarrie, Linnansaari, Cunjak, & Curry, ). Despite the wealth of river temperature data that TIR has generated (Dugdale, Bergeron, & St‐Hilaire, ; Fullerton et al, ; Tan & Cherkauer, ) and its role in improving process‐based understanding of river temperature heterogeneity, TIR surveys of river corridors remain relatively costly, making it difficult to justify their use along shorter reaches or for multitemporal surveys (Lee et al, ).…”

Section: Introductionmentioning

confidence: 99%

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

Dugdale

Kelleher

Malcolm

et al. 2019

Hydrological Processes

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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.

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Spatial distribution of thermal refuges analysed in relation to riverscape hydromorphology using airborne thermal infrared imagery

Cited by 121 publications

References 68 publications

Real-time monitoring of nutrients and dissolved organic matter in rivers: Capturing event dynamics, technological opportunities and future directions

Real-time monitoring of nutrients and dissolved organic matter in rivers: Capturing event dynamics, technological opportunities and future directions

Hydrogeological controls on spatial patterns of groundwater discharge in peatlands

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

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