2016
DOI: 10.1002/wat2.1135
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A practitioner's guide to thermal infrared remote sensing of rivers and streams: recent advances, precautions and considerations

Abstract: Stream temperature is a key habitat variable controlling all physical and biological river processes. In light of the threat of climate change to fluvial environments, growing importance is being placed on the need to gain a better understanding of stream temperature dynamics. However, many current or historic stream temperature datasets are of very low spatial resolution. Such in situ measurements are often unable to provide the fine scale information on longitudinal or lateral temperature patterns necessary … Show more

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Cited by 84 publications
(112 citation statements)
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References 93 publications
(262 reference statements)
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“…introDuction Interest in thermal ecology is growing given concerns about global environmental change, the importance of temperature to many biological processes (Angilletta 2009, Kingsolver 2009, Cooke et al 2013, and the ease with which temperature data are collected (Angilletta and Krochmal 2003, Selker et al 2006, Dugdale 2016. Thermal environments are particularly relevant for ectotherms because of their limited ability to physiologically regulate metabolic processes, so these organisms develop behavioral patterns and life histories that adjust to thermal resources over daily, seasonal, and annual cycles (Sunday et al 2014, Woods et al 2015.…”
mentioning
confidence: 99%
“…introDuction Interest in thermal ecology is growing given concerns about global environmental change, the importance of temperature to many biological processes (Angilletta 2009, Kingsolver 2009, Cooke et al 2013, and the ease with which temperature data are collected (Angilletta and Krochmal 2003, Selker et al 2006, Dugdale 2016. Thermal environments are particularly relevant for ectotherms because of their limited ability to physiologically regulate metabolic processes, so these organisms develop behavioral patterns and life histories that adjust to thermal resources over daily, seasonal, and annual cycles (Sunday et al 2014, Woods et al 2015.…”
mentioning
confidence: 99%
“…During storm events, surface roughness, deeper water columns as well as stream temperature homogenisation due to precipitation tend to influence the applicability of remotely sensed data [27,45]. Consequently, because we are making these measurements for the first time we concentrated on winter low flows, when these disturbances were small and temperature contrasts more pronounced.…”
Section: Field Measurementsmentioning
confidence: 99%
“…The images were taken by positioning the handheld camera perpendicular to the stream section under study and trying to cover the widest possible width with a single image. Since our purpose was to extract temperature cross-sectional distributions from the thermal images, we avoided using the panoramic picture mode, where shifts in absolute temperature can occur between contiguous images as a product of the camera's non-uniformity correction [27]. Moreover, both confluences were chosen in cleared areas in order to avoid tree shading effects which can influence the temperature detection.…”
Section: Tir Image Acquisitionmentioning
confidence: 99%
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