National-scale remotely sensed lake trophic state from 1984 through 2020
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.
Citation Information
Publication Year | 2024 |
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Title | National-scale remotely sensed lake trophic state from 1984 through 2020 |
DOI | 10.1038/s41597-024-02921-0 |
Authors | Michael Frederick Meyer, Simon Nemer Topp, Tyler Victor King, Robert Ladwig, Rachel M. Pilla, Hilary A. Dugan, Jack R. Eggleston, Stephanie E. Hampton, Dina M Leech, Isabella Oleksy, Jesse Cleveland Ross, Matthew V Ross, R. Iestyn Woolway, Xiao Yang, Matthew R. Brousil, Kate Colleen Fickas, Julie C Padowski, Amina Pollard, Jianning Ren, Jacob Aaron Zwart |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Scientific Data |
Index ID | 70250972 |
Record Source | USGS Publications Warehouse |
USGS Organization | Earth Resources Observation and Science (EROS) Center; Idaho Water Science Center; WMA - Observing Systems Division |