View in EDS

Remote Sensing of Chlorophyll a and Temperature to Support Algal Bloom Monitoring in Blue Mesa Reservoir, Colorado.

Saved in:
Bibliographic Details
Title: Remote Sensing of Chlorophyll a and Temperature to Support Algal Bloom Monitoring in Blue Mesa Reservoir, Colorado.
Authors: King, Tyler V.1 (AUTHOR) tvking@usgs.gov, Bean, Robert A.2 (AUTHOR), Walton‐Day, Katherine2 (AUTHOR), Mast, M. Alisa2 (AUTHOR), Gohring, Evan J.2 (AUTHOR), Gidley, Rachel G.2 (AUTHOR), Day, Natalie K.2 (AUTHOR), Gibney, Nicole D.3 (AUTHOR)
Source: Journal of the American Water Resources Association. Aug2025, Vol. 61 Issue 4, p1-19. 19p.
Subjects: Chlorophyll, Water temperature, Remote sensing, Machine learning, Reservoir ecology, Remote-sensing images
Geographic Terms: Colorado
Abstract: We present methods to reconstruct historical chlorophyll a and surface water temperatures from satellite‐based remote sensing products for Blue Mesa Reservoir, Colorado, to support algal bloom monitoring. A machine learning model was trained to construct chlorophyll a concentrations from Sentinel‐2 satellite imagery and in situ measurements of chlorophyll a concentrations (out of bag RMSE = 1.9 μg/L, R2 = 0.63) and reconstruct summertime chlorophyll a concentrations over the entire reservoir from 2016 through 2023. Concurrently, we developed an approach to retrieve remotely sensed water temperatures from the Landsat collection 2 provisional surface temperature product (MAE = 0.6°C) and reconstructed summertime surface water temperature records from 2000 through 2023. Finally, we demonstrate how the reconstructed chlorophyll a and temperature records can yield insight on reservoir dynamics. The chlorophyll a records indicate that algal blooms have a consistent spatial pattern across multiple years, initiating in the eastern end of the reservoir and spreading to the west over time. Water temperatures increased at a linearized rate of 0.3°C per decade from 2000 through 2023 and were inversely proportional to reservoir water surface elevation. Finally, mean summer remotely sensed chlorophyll a concentration had a moderately positive correlation with mean summer remotely sensed water temperature. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the American Water Resources Association is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 187570719
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Remote Sensing of Chlorophyll a and Temperature to Support Algal Bloom Monitoring in Blue Mesa Reservoir, Colorado.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22King%2C+Tyler+V%2E%22">King, Tyler V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tvking@usgs.gov</i><br /><searchLink fieldCode="AR" term="%22Bean%2C+Robert+A%2E%22">Bean, Robert A.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Walton‐Day%2C+Katherine%22">Walton‐Day, Katherine</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mast%2C+M%2E+Alisa%22">Mast, M. Alisa</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gohring%2C+Evan+J%2E%22">Gohring, Evan J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gidley%2C+Rachel+G%2E%22">Gidley, Rachel G.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Day%2C+Natalie+K%2E%22">Day, Natalie K.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gibney%2C+Nicole+D%2E%22">Gibney, Nicole D.</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Water+Resources+Association%22">Journal of the American Water Resources Association</searchLink>. Aug2025, Vol. 61 Issue 4, p1-19. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Chlorophyll%22">Chlorophyll</searchLink><br /><searchLink fieldCode="DE" term="%22Water+temperature%22">Water temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Reservoir+ecology%22">Reservoir ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Colorado%22">Colorado</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We present methods to reconstruct historical chlorophyll a and surface water temperatures from satellite‐based remote sensing products for Blue Mesa Reservoir, Colorado, to support algal bloom monitoring. A machine learning model was trained to construct chlorophyll a concentrations from Sentinel‐2 satellite imagery and in situ measurements of chlorophyll a concentrations (out of bag RMSE = 1.9 μg/L, R2 = 0.63) and reconstruct summertime chlorophyll a concentrations over the entire reservoir from 2016 through 2023. Concurrently, we developed an approach to retrieve remotely sensed water temperatures from the Landsat collection 2 provisional surface temperature product (MAE = 0.6°C) and reconstructed summertime surface water temperature records from 2000 through 2023. Finally, we demonstrate how the reconstructed chlorophyll a and temperature records can yield insight on reservoir dynamics. The chlorophyll a records indicate that algal blooms have a consistent spatial pattern across multiple years, initiating in the eastern end of the reservoir and spreading to the west over time. Water temperatures increased at a linearized rate of 0.3°C per decade from 2000 through 2023 and were inversely proportional to reservoir water surface elevation. Finally, mean summer remotely sensed chlorophyll a concentration had a moderately positive correlation with mean summer remotely sensed water temperature. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the American Water Resources Association is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=187570719
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/1752-1688.70038
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1
    Subjects:
      – SubjectFull: Chlorophyll
        Type: general
      – SubjectFull: Water temperature
        Type: general
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Reservoir ecology
        Type: general
      – SubjectFull: Remote-sensing images
        Type: general
      – SubjectFull: Colorado
        Type: general
    Titles:
      – TitleFull: Remote Sensing of Chlorophyll a and Temperature to Support Algal Bloom Monitoring in Blue Mesa Reservoir, Colorado.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: King, Tyler V.
      – PersonEntity:
          Name:
            NameFull: Bean, Robert A.
      – PersonEntity:
          Name:
            NameFull: Walton‐Day, Katherine
      – PersonEntity:
          Name:
            NameFull: Mast, M. Alisa
      – PersonEntity:
          Name:
            NameFull: Gohring, Evan J.
      – PersonEntity:
          Name:
            NameFull: Gidley, Rachel G.
      – PersonEntity:
          Name:
            NameFull: Day, Natalie K.
      – PersonEntity:
          Name:
            NameFull: Gibney, Nicole D.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1093474X
          Numbering:
            – Type: volume
              Value: 61
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Journal of the American Water Resources Association
              Type: main
ResultId 1