Open AccessInfrared Quantitative Imaging Technique (IR-QIV) for Remote Sensing of River Flows
Author(s) -
Edwin A. Cowen,
Seth Schweitzer
Publication year - 2021
Publication title -
international symposium on particle image velocimetry.
Language(s) - English
Resource type - Journals
ISSN - 2769-7576
DOI - 10.18409/ispiv.v1i1.52
Subject(s) - remote sensing , environmental science , drone , shore , flood myth , population , scale (ratio) , streamflow , meteorology , hydrology (agriculture) , environmental resource management , geology , geography , oceanography , cartography , drainage basin , genetics , demography , geotechnical engineering , archaeology , sociology , biology
Stage and discharge are some of the oldest measurements in environmental fluid mechanics and are vital in forecasting water supply and flood safety. These measurements are traditionally manpower intensive, hence expensive, and dangerous under high flow conditions. Considering climate change and the planet’s increasing population there is a critical need for better, more accurate, and frequent, in space and time, data for model and forecast guidance. This need spans monitoring small-scale turbulent processes to calibrating and nudging continental scale river dynamics models. Driven by applications from river gaging networks to fish behavior modeling to flood and erosion forecasting, and more generally, the near-shore environment of lakes, estuaries and the coasts, remote sensing with quantitative imaging tools is a rapidly expanding field. Such tools can be deployed from fixed platforms, drones, planes and satellites with valuable information contained within the visible to infrared spectral bands.