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National-scale remotely sensed lake trophic state from 1984 through 2020

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National-scale remotely sensed lake trophic state from 1984 through 2020. / Meyer, Michael F; Topp, Simon N; King, Tyler V et al.
Yn: Scientific data, Cyfrol 11, Rhif 1, 16.01.2024, t. 77.

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

HarvardHarvard

Meyer, MF, Topp, SN, King, TV, Ladwig, R, Pilla, RM, Dugan, HA, Eggleston, JR, Hampton, SE, Leech, DM, Oleksy, IA, Ross, JC, Ross, MRV, Woolway, RI, Yang, X, Brousil, MR, Fickas, KC, Padowski, JC, Pollard, AI, Ren, J & Zwart, JA 2024, 'National-scale remotely sensed lake trophic state from 1984 through 2020', Scientific data, cyfrol. 11, rhif 1, tt. 77. https://doi.org/10.1038/s41597-024-02921-0

APA

Meyer, M. F., Topp, S. N., King, T. V., Ladwig, R., Pilla, R. M., Dugan, H. A., Eggleston, J. R., Hampton, S. E., Leech, D. M., Oleksy, I. A., Ross, J. C., Ross, M. R. V., Woolway, R. I., Yang, X., Brousil, M. R., Fickas, K. C., Padowski, J. C., Pollard, A. I., Ren, J., & Zwart, J. A. (2024). National-scale remotely sensed lake trophic state from 1984 through 2020. Scientific data, 11(1), 77. https://doi.org/10.1038/s41597-024-02921-0

CBE

Meyer MF, Topp SN, King TV, Ladwig R, Pilla RM, Dugan HA, Eggleston JR, Hampton SE, Leech DM, Oleksy IA, et al. 2024. National-scale remotely sensed lake trophic state from 1984 through 2020. Scientific data. 11(1):77. https://doi.org/10.1038/s41597-024-02921-0

MLA

Meyer, Michael F et al. "National-scale remotely sensed lake trophic state from 1984 through 2020". Scientific data. 2024, 11(1). 77. https://doi.org/10.1038/s41597-024-02921-0

VancouverVancouver

Meyer MF, Topp SN, King TV, Ladwig R, Pilla RM, Dugan HA et al. National-scale remotely sensed lake trophic state from 1984 through 2020. Scientific data. 2024 Ion 16;11(1):77. doi: 10.1038/s41597-024-02921-0

Author

Meyer, Michael F ; Topp, Simon N ; King, Tyler V et al. / National-scale remotely sensed lake trophic state from 1984 through 2020. Yn: Scientific data. 2024 ; Cyfrol 11, Rhif 1. tt. 77.

RIS

TY - JOUR

T1 - National-scale remotely sensed lake trophic state from 1984 through 2020

AU - Meyer, Michael F

AU - Topp, Simon N

AU - King, Tyler V

AU - Ladwig, Robert

AU - Pilla, Rachel M

AU - Dugan, Hilary A

AU - Eggleston, Jack R

AU - Hampton, Stephanie E

AU - Leech, Dina M

AU - Oleksy, Isabella A

AU - Ross, Jesse C

AU - Ross, Matthew R V

AU - Woolway, R Iestyn

AU - Yang, Xiao

AU - Brousil, Matthew R

AU - Fickas, Kate C

AU - Padowski, Julie C

AU - Pollard, Amina I

AU - Ren, Jianning

AU - Zwart, Jacob A

N1 - © 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

PY - 2024/1/16

Y1 - 2024/1/16

N2 - Lake trophic state is a key ecosystem property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine-readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used Landsat surface reflectance data to create the first compendium of annual lake trophic state for 55,662 lakes of at least 10 ha in area throughout the contiguous United States from 1984 through 2020. The dataset was constructed with FAIR data principles (Findable, Accessible, Interoperable, and Reproducible) in mind, where data are publicly available, relational keys from parent datasets are retained, and all data wrangling and modeling routines are scripted for future reuse. Together, this resource offers critical data to address basic and applied research questions about lake water quality at a suite of spatial and temporal scales.

AB - Lake trophic state is a key ecosystem property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine-readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used Landsat surface reflectance data to create the first compendium of annual lake trophic state for 55,662 lakes of at least 10 ha in area throughout the contiguous United States from 1984 through 2020. The dataset was constructed with FAIR data principles (Findable, Accessible, Interoperable, and Reproducible) in mind, where data are publicly available, relational keys from parent datasets are retained, and all data wrangling and modeling routines are scripted for future reuse. Together, this resource offers critical data to address basic and applied research questions about lake water quality at a suite of spatial and temporal scales.

U2 - 10.1038/s41597-024-02921-0

DO - 10.1038/s41597-024-02921-0

M3 - Article

C2 - 38228637

VL - 11

SP - 77

JO - Scientific data

JF - Scientific data

SN - 2052-4463

IS - 1

ER -