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dc.contributor.authorWeekley, David
dc.contributor.authorLi, Xingong
dc.date.accessioned2021-02-24T16:00:08Z
dc.date.available2021-02-24T16:00:08Z
dc.date.issued2019-10-10
dc.identifier.citationWeekley, D., & Li, X. (2019). Tracking multidecadal lake water dynamics with Landsat imagery and topography/bathymetry. Water Resources Research, 55, 8350– 8367. https://doi.org/10.1029/2019WR025500en_US
dc.identifier.urihttp://hdl.handle.net/1808/31476
dc.descriptionAn edited version of this paper was published by AGU. Copyright 2019 American Geophysical Union.en_US
dc.description.abstractWater resource management is of critical importance due to its close relationship with nearly every industry, field, and lifeform on this planet. The success of future water management will rely upon having detailed data of current and historic water dynamics. This research leverages Google Earth Engine and uses Landsat 5 imagery in conjunction with bathymetry and Shuttle Radar Topography Mission digital elevation model data to analyze long‐term lake dynamics (water surface elevation, surface area, volume, volume change, and frequency) for Lake McConaughy in Nebraska, USA. Water surface elevation was estimated by extracting elevation values from underlying bathymetry and digital elevations models using 5,994 different combinations of water indices, water boundaries, and statistics for 100 time periods spanning 1985–2009. Surface elevation calculations were as accurate as 0.768 m root mean square error (CI95% [0.657, 0.885]). Water volume change calculations found a maximum change of 1.568 km3 and a minimum total volume of only 23.97% of the maximum reservoir volume. Seasonal and long‐term trends were identified, which have major affects regarding regional agriculture, local recreation, and lake water quality. This research fills an existing gap in optical remote sensing‐based monitoring of lakes and reservoirs, is more robust and outperforms other commonly used monitoring techniques, increases the number of water bodies available for long‐term studies, introduces a scalable framework deployable within Google Earth Engine, and enables data collection of both gauged and ungauged water bodies, which will substantially increase our knowledge and understanding of these critical ecosystems.en_US
dc.publisherAmerican Geophysical Unionen_US
dc.rights© 2019. American Geophysical Union. All Rights Reserved.en_US
dc.titleTracking Multidecadal Lake Water Dynamics with Landsat Imagery and Topography/Bathymetryen_US
dc.typeArticleen_US
kusw.kuauthorWeekley, David
kusw.kuauthorLi, Xingong
kusw.kudepartmentGeography and Atmospheric Scienceen_US
dc.identifier.doi10.1029/2019WR025500en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4123-6023en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1636-2922en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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