Measuring surface currents in lakes with high spatial resolution thermal infrared imagery

Steissberg, Todd E.; Hook, Simon J.; Schladow, S. Geoffrey

doi:10.1029/2005gl022912

Cited by 25 publications

(16 citation statements)

References 15 publications

(22 reference statements)

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“…Remote sensing provides an excellent method for observing lake surface properties including circulation patterns over large scales (e.g. Steissberg et al, 2005). Previous remote sensing studies in Lake Superior, including those described above, have primarily been based on lake surface temperature.…”

Section: Introductionmentioning

confidence: 98%

Small eddies observed in Lake Superior using SAR and sea surface temperature imagery

McKinney

Holt

Matsumoto

2012

Journal of Great Lakes Research

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Section: Introductionmentioning

confidence: 98%

Small eddies observed in Lake Superior using SAR and sea surface temperature imagery

McKinney

Holt

Matsumoto

2012

Journal of Great Lakes Research

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“…Steissberg et al (2005) used high-resolution data from the Landsat Enhanced Thematic Mapper (ETMϩ) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). Oesch et al (2005) compared the use of the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the National Aeronautics and Space Administration (NASA) Terra and Aqua satellites versus the Advanced Very High Resolution Radiometer (AVHRR) aboard National Oceanographic and Atmospheric Administration (NOAA) polar-orbiting satellites.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Water Temperature of Large Lakes in Cold Climate Regions during the Period of Strong Coupling between Water and Air Temperature Fluctuations

Bussières

Granger²

2007

Journal of Atmospheric and Oceanic Technology

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Near-surface bulk water temperature measured in large northern lakes during the warm season with buoys can be characterized by three components: a slowly varying seasonal-/climate-related trend, fluctuations at the time scale of weather perturbations, and rapid daily fluctuations. When thermal infrared data are used to estimate surface water temperature, an additional term relating the differences between the skin and bulk temperatures is implied. Buoy data in this work serve to demonstrate the existence of a period of strong signal coupling between fluctuations of water temperature and air temperature. The period of strong signal coupling does not extend beyond the date of maximum temperature in the water temperature trend. During this period, a simple linear transformation of air temperature fluctuations can be used to simulate the buoy water temperature fluctuations. Attempts to simulate water temperature fluctuations from air temperature alone are not possible beyond this period. Water temperature simulation error depends on the distance of the air temperature measurement from the buoy, ranging from Ϯ1.1°C at 0 km to Ϯ1.4°C at 40 km. The method developed with buoy data is applied to the combination of satellite thermal infrared and operationally measured air temperature data to simulate water temperatures. Through the use of satellite data, the water temperature simulations are extended beyond the period of strong coupling.

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“…Studies of lake hydrology [4,5], evapotranspiration [6], regional water resources [7] and the impact of local climate trends all make use of Landsat derived thermal data. The value of the archive will continue to grow as more effective ways to study long-term thermal processes are developed.…”

Section: Introductionmentioning

confidence: 99%

Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration

et al. 2014

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Launched in February 2013, the Landsat-8 carries on-board the Thermal Infrared Sensor (TIRS), a two-band thermal pushbroom imager, to maintain the thermal imaging capability of the Landsat program. The TIRS bands are centered at roughly 10.9 and 12 μm (Bands 10 and 11 respectively). They have 100 m spatial resolution and image coincidently with the Operational Land Imager (OLI), also on-board Landsat-8. The TIRS instrument has an internal calibration system consisting of a variable temperature blackbody and a special viewport with which it can see deep space; a two point calibration can be performed twice an orbit. Immediately after launch, a rigorous vicarious calibration program was started to validate the absolute calibration of the system. The two vicarious calibration teams, NASA/Jet Propulsion Laboratory (JPL) and the Rochester Institute of Technology (RIT), both make use of buoys deployed on large water bodies as the primary monitoring technique. RIT took advantage of cross-calibration opportunity soon after launch when Landsat-8 and Landsat-7 were imaging the same targets within a few minutes of each other to perform a validation of the absolute calibration. Terra MODIS is also being used for regular monitoring OPEN ACCESSRemote Sens. 2014, 6 11608 of the TIRS absolute calibration. The buoy initial results showed a large error in both bands, 0.29 and 0.51 W/m 2 ·sr·μm or −2.1 K and −4.4 K at 300 K in Band 10 and 11 respectively, where TIRS data was too hot. A calibration update was recommended for both bands to correct for a bias error and was implemented on 3 February 2014 in the USGS/EROS processing system, but the residual variability is still larger than desired for both bands (0.12 and 0.2 W/m 2 ·sr·μm or 0.87 and 1.67 K at 300 K). Additional work has uncovered the source of the calibration error: out-of-field stray light. While analysis continues to characterize the stray light contribution, the vicarious calibration work proceeds. The additional data have not changed the statistical assessment but indicate that the correction (particularly in band 11) is probably only valid for a subset of data. While the stray light effect is small enough in Band 10 to make the data useful across a wide array of applications, the effect in Band 11 is larger and the vicarious results suggest that Band 11 data should not be used where absolute calibration is required.

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Measuring surface currents in lakes with high spatial resolution thermal infrared imagery

Cited by 25 publications

References 15 publications

Small eddies observed in Lake Superior using SAR and sea surface temperature imagery

Small eddies observed in Lake Superior using SAR and sea surface temperature imagery

Estimation of Water Temperature of Large Lakes in Cold Climate Regions during the Period of Strong Coupling between Water and Air Temperature Fluctuations

Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration

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