1. ERDC Knowledge Core
  2. Engineer Research and Development Center (ERDC)
  3. Environmental Laboratory (EL) - (4/16/1978 - present)
  4. Publication
  5. Technical Report
Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/34933
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dc.contributor.authorXu, Min.-
dc.contributor.authorLiu, Hongxing.-
dc.contributor.authorBeck, Richard A.-
dc.contributor.authorReif, Molly K.-
dc.contributor.authorEmery, Erich B.-
dc.contributor.authorYoung, Jade L.-
dc.date.accessioned2019-12-18T14:14:09Z-
dc.date.available2019-12-18T14:14:09Z-
dc.date.issued2019-11-
dc.identifier.govdocERDC/EL TR-19-19-
dc.identifier.urihttps://hdl.handle.net/11681/34933-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/34933-
dc.descriptionTechnical Report-
dc.description.abstractIn this research, a time-series of multispectral images acquired by Landsat 8 and Sentinel-2 satellites during 2013-2017 was combined with in situ water quality measurements to examine and analyze the spatial pattern and temporal variation of lake and reservoir water quality in the Ohio/Kentucky/Indiana region within the Louisville District, United States Army Corps of Engineers. Reflectance values at the sampling sites for each lake were used with the in situ data collected within a 7-day time window of satellite overpass to construct empirical models to estimate water quality parameters, including turbidity, Secchi depth, and chlorophyll-a. The analysis indicated that Sentinel-2 outperformed Landsat 8 for retrieving water quality parameters, especially for chlorophyll-a. Due to the better spatial and temporal coverage of Landsat 8 for this tri-state region, the Secchi depth retrieved from the time-series Landsat 8 images was used to create lake trophic state index (TSI) maps in 2013, 2015, and 2017. It was observed that most lakes (~75%) in the study area were in mesotrophic or eutrophic classes in 2017 based on the TSI. From 2013 to 2017, the TSI range and standard deviation of lakes in Indiana region largely increased while the average TSI in this tri-state area varied slightly (<1.6%).en_US
dc.description.sponsorshipAquatic Nuisance Species Research Program (U.S.)-
dc.description.tableofcontentsAbs tract ................................ ................................ ................................ ................................ .... ii Figures and Tables ................................ ................................ ................................ .................. iv Preface ................................ ................................ ................................ ................................ ...... v 1 Introduction ................................ ................................ ................................ ...................... 1 1.1 Background ................................ ................................ ................................ ........ 1 1.2 ObjectiveObjective................................ ................................ ................................ ............. 3 1.3 Approach ................................ ................................ ................................ ............ 3 2 Materials ................................ ................................ ................................ ........................... 4 2.1 Study area ................................ ................................ ................................ .......... 4 2.2 Satellite data ................................ ................................ ................................ ...... 6 2.3 Water truth data ................................ ................................ .............................. 10 3 Methods ................................ ................................ ................................ .......................... 12 3.1 Preprocessing of multispectral satellite images ................................ ........... 12 3.2 Water quality parameter retrieval models ................................ ..................... 13 3.3 Trophic state index (TSI) calculation ................................ .............................. 13 4 Results ................................ ................................ ................................ ............................. 15 4.1 Results from Landsat 8 data ................................ ................................ .......... 15 4.2 Results from SentinelSentinel-2 data ................................ ................................ .......... 19 4.3 Spatial pattern of lakes lakes’ trophic statestate ................................ ............................ 21 4.4 Temporal variability of lakes lakes’ trophic statestate ................................ .................... 24 4.5 TSI in individual lakes ................................ ................................ ..................... 26 5 Discussion ................................ ................................ ................................ ....................... 28 6 Conclusion ................................ ................................ ................................ ...................... 31 References ................................ ................................ ................................ ............................. 32 Acronyms and Abbreviations ................................ ................................ ............................... 35 Report Documentation Page-
dc.format.extent44 pages / 2.085 Mb-
dc.format.mediumPDF/A-
dc.language.isoen_USen_US
dc.publisherEnvironmental Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesTechnical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/EL TR-19-19-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectEnvironmental managementen_US
dc.subjectMultispectral imagingen_US
dc.subjectRemote-sensing imagesen_US
dc.subjectReservoirs--Water qualityen_US
dc.subjectWater quality managementen_US
dc.titleRegional analysis of lake and reservoir water quality with multispectral satellite remote sensing imagesen_US
dc.typeReporten_US
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