Multi‐scale thermal pattern monitoring of a large lake (Lake Geneva) using a multi‐sensor approach

Oesch, David; Jaquet, Jean-Michel; Klaus, R.; Schenker, Paul S.

doi:10.1080/01431160802132786

Cited by 33 publications

(38 citation statements)

References 34 publications

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“…As a result, they both showed strong potential for the estimation of LST in large European lakes with various ecological characteristics and across different geographical areas. These results agree with the findings by Oesch et al (2005Oesch et al ( , 2008.…”

Section: Performance Of the Noaa Avhrr Algorithmssupporting

confidence: 93%

“…NOAA AVHRR and Terra/Aqua MODIS) for the estimation of the same parameter (e.g. LST), the temporal coverage increases up to, nominally, ten images per 24 h (Oesch et al, 2008). Assuming cloud conditions over the lakes are at minimum, this allows for a much shorter sampling interval than most field sampling campaigns.…”

Section: Discussionmentioning

confidence: 99%

“…In fact, Terra/Aqua MODIS data have been used over lake waters with very promising results (e.g. Crosman & Horel, 2009;Oesch et al, 2008 1978 for thermal data), but their revisit capability is very infrequent (especially when cloud cover is considered) which gives them a disadvantage over the NOAA AVHRR. The European Remote Sensing satellite (ERS-1, -2) Along-Track Scanning Radiometer (ATSR-1, -2) and Environmental Satellite (Envisat) Advanced ATSR (AATSR) are scanners that were designed to produce SST estimates of higher accuracy than the AVHRR, because they scan data from both nadir and 52°forwards of nadir, allowing corrections related to atmospheric scattering and absorption (Rees, 1990).…”

Section: Discussionmentioning

confidence: 99%

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Using the NOAA Advanced Very High Resolution Radiometer to characterise temporal and spatial trends in water temperature of large European lakes

Politi

Cutler

Rowan

2012

Remote Sensing of Environment

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(This is a sample cover image for this issue. The actual cover is not yet available at this time.)This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. Lakes are major repositories of biodiversity, provide multiple ecosystem services and are widely recognised as key indicators of environmental change. However, studies of lake response to drivers of change at a pan-European scale are exceptionally rare. The need for such studies has been given renewed impetus by concerns over environmental change and because of international policies, such as the EU Water Framework Directive (WFD), which impose legal obligations to monitor the condition of European lakes towards sustainable systems with good ecological status. This has highlighted the need for methods that can be widely applied across large spatial and temporal scales and produce comparable results. Remote sensing promises much in terms of information provision, but the spatial transferability and temporal repeatability of methods and relationships observed at individual or regional case studies remains unproven at the continental scale. This study demonstrates that NOAA Advanced Very High Resolution Radiometer (AVHRR) thermal data are capable of producing highly accurate (R 2 > 0.9) lake surface temperature (LST) estimates in lakes with variable hydromorphological characteristics and contrasting thermal regimes. Validation of the approach using archived AVHRR thermal data for Lake Geneva produced observations that were consistent with field data for equivalent time periods. This approach provides the basis for generalizing temporal and spatial trends in European lake surface temperature over several decades and confirms the potential of the full 30 year NOAA AVHRR archive to can provide AVHRR-derived LST estimates to help inform European policies on lake water quality.

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Section: Performance Of the Noaa Avhrr Algorithmssupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Using the NOAA Advanced Very High Resolution Radiometer to characterise temporal and spatial trends in water temperature of large European lakes

Politi

Cutler

Rowan

2012

Remote Sensing of Environment

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“…Though the 3.7 µm channel is more sensitive to SST, it is primarily used only for night-time measurements because of relatively strong reflection of solar irradiation in this wavelength region, which contaminates the retrieved radiation. Thermal infrared remote sensing applied to freshwater ecosystems has aimed to map surface temperatures (Oesch et al, 2008;Reinart and Reinhold, 2008;Crosman and Horel, 2009), bulk temperatures (Thiemann and Schiller, 2003), circulation surface (Schladow et al, 2004) and to characterize upwelling events (Steissberg et al, 2005).…”

Section: Optical Remote Sensingmentioning

confidence: 99%

“…On May 30, 2013, data from the Landsat-8 satellite (launched on 11 February, 2013) became available allowing the continuance of studies on water quality of lakes (until now mainly accomplished with Landsat-5 and Landsat-7). Moreover, the Landsat spectral band available in the thermal infrared region (TIR) allowed the estimation of water surface temperature (Giardino et al, 2001;Wloczyk et al, 2006;Oesch et al, 2008). Finally, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor with a spatial resolution of 15 m in the visible and near-infrared bands and 90 m in the thermal infrared could be suitable for assessing water quality in lakes (Becker and Daw, 2005).…”

Section: Optical Remote Sensing Sensorsmentioning

confidence: 99%

Optical remote sensing of lakes: an overview on Lake Maggiore

Giardino

Bresciani²,

Stroppiana³

et al. 2013

J Limnol

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A novel method for estimating the onset of thermal stratification in lakes from surface water measurements

Woolway

Maberly

Jones

et al. 2014

Water Resources Research

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High-frequency surface water temperature measurements were analyzed for 17 annual data series from seven lakes to assess whether the onset of thermal stratification can be determined from time series of surface water temperature measurements alone. Current methods for estimating the start of thermal stratification require depth-resolved temperature measurements, whereas many existing highfrequency measurements are often limited only to the lake surface. In this study, we show that the magnitude of the diel surface water temperature range can be used to estimate the onset of thermal stratification. We assess the accuracy of using the diel range as an estimate of the onset of thermal stratification by applying two methods based on the calculation of (1) the absolute difference in the diel surface temperature range and (2) the magnitude of the diel range from wavelet analysis. Our study shows that the onset of thermal stratification can be accurately estimated by wavelet analysis with a root mean square error of 2.1 days and by the observed diel temperature range method with a root mean square error of 11.8 days. This approach enables existing, and future, high-resolution surface water data sets to be used to estimate the onset of lake stratification. Furthermore, the continuously increasing observational powers of satellites may eventually result in surface water temperature being measured at a sufficiently high temporal resolution at the spatial scales of small lakes to allow the onset of thermal stratification to be estimated remotely.

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Multi‐scale thermal pattern monitoring of a large lake (Lake Geneva) using a multi‐sensor approach

Cited by 33 publications

References 34 publications

Using the NOAA Advanced Very High Resolution Radiometer to characterise temporal and spatial trends in water temperature of large European lakes

Using the NOAA Advanced Very High Resolution Radiometer to characterise temporal and spatial trends in water temperature of large European lakes

Optical remote sensing of lakes: an overview on Lake Maggiore

A novel method for estimating the onset of thermal stratification in lakes from surface water measurements

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