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A multi-sensor approach to characterize winter water-level drawdown patterns in lakes

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Abhishek Kumar, Allison Roy, Konstantinos M. Andreadis, Xinchen He, and Caitlyn Butler, 2024-03-08, A multi-sensor approach to characterize winter water-level drawdown patterns in lakes: Remote Sensing, v. 16, iss. 6.

Summary

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 surface water area captured [...]

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  • National and Regional Climate Adaptation Science Centers
  • Northeast CASC

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citationTypeJournal Article
journalRemote Sensing
parts
typeDOI
value10.3390/rs16060947
typeVolume
value16
typeIssue
value6

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