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Winter drawdown (WD) is a common lake management tool for multiple purposes such as flood control, aquatic vegetation reduction, and lake infrastructure maintenance. To minimize adverse impacts to a lake’s ecosystem, regulatory agencies may provide managers with general guidelines for drawdown and refill timing, drawdown magnitude, and outflow limitations. However, there is significant uncertainty associated with the potential to meet management targets due to variability in lake characteristics and hydrometeorology of each lake’s basin, making the use of modeling tools a necessity. In this context, we developed a hydrological modeling framework for lake water level drawdown management (HMF-Lake) and evaluated it...
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LakeLevel Tracker’s user interface: Key features The application’s freely available interface guides users through a straightforward process to generate data and simple figures. Users can access the GEE web application at this link (https:// tinyurl.com/musexpyw), navigate to a lake and specify a date range to generate surface water area and water level charts (Figure 1). Users can visualize changes in surface water area and water level over seasons or years and download the data for further analysis. More information on how to use this web application with step-by-step instructions can be found at this link (https://tinyurl.com/yxnernxv).
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Abstract (from MDPI): Artificial manipulation of lake water levels through practices like winter water-level drawdown (WD) is prevalent across many regions, but the spatiotemporal patterns are not well documented due to limited in situ monitoring. Multi-sensor satellite remote sensing provides an opportunity to map and analyze drawdown frequency and metrics (timing, magnitude, duration) at broad scales. This study developed a cloud computing framework to process time series of synthetic aperture radar (Sentinel 1-SAR) and optical sensor (Landsat 8, Sentinel 2) data to characterize WD in 166 lakes across Massachusetts, USA, during 2016–2021. Comparisons with in situ logger data showed that the Sentinel 1-derived...
Categories: Publication;
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