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• W2095173138 abstract "Measurements of surface currents have been made in a variety of rivers and estuaries to evaluate the accuracy and robustness of techniques based on airborne infrared (IR) imaging of the advection of small-scale temperature variations. The imaging system is a modification of our Airborne Remote Optical Spotlight System to include a midwave IR camera. This system collects image sequences that are subsequently registered and mapped to the mean water level, providing space-time data proportional to water surface temperature along the watercourse. The temperature modulations are analyzed with two algorithms to assess the data and retrieve the currents. The full 3-D frequency-wavenumber spectrum is used to evaluate the signal and competing noise sources. A version of the maximum cross-correlation (MCC) algorithm, often used for measuring fluid motions, is applied to retrieve currents for most of the data analyzed here. The retrieved currents agree with the acoustic Doppler current profiler measurements with no mean bias and within 10 cm/s in 60% or more of ~ 1500 independent comparisons on multiple rivers. An error metric based on an MCC reciprocal filtering technique provides a numerical measure of confidence in each retrieval. Most bad points are flagged, as the retrieved current vector fields exhibit few obvious large errors. The density of retrieval postings is nominally one every 8-16 pixels or 8-16 m." @default.
• W2095173138 created "2016-06-24" @default.
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• W2095173138 date "2014-07-01" @default.
• W2095173138 modified "2023-10-10" @default.
• W2095173138 title "Airborne Infrared Remote Sensing of Riverine Currents" @default.
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• W2095173138 doi "https://doi.org/10.1109/tgrs.2013.2277815" @default.
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