Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a

Lakes and other surface fresh waterbodies provide drinking water, recreational and economic opportunities, food, and other critical support for humans, aquatic life, and ecosystem health. Lakes are also productive ecosystems that provide habitats and influence global cycles. Chlorophyll concentratio...

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Bibliographic Details
Published in:Remote sensing of environment Vol. 266; pp. 112685 - 14
Main Authors: Seegers, Bridget N., Werdell, P. Jeremy, Vandermeulen, Ryan A., Salls, Wilson, Stumpf, Richard P., Schaeffer, Blake A., Owens, Tommy J., Bailey, Sean W., Scott, Joel P., Loftin, Keith A.
Format: Journal Article
Language:English
Published: Goddard Space Flight Center Elsevier Inc 01.12.2021
Elsevier
Elsevier BV
Subjects:
Abbreviations
Alaska
Algorithm validation
Algorithms
Aquatic ecosystems
Aquatic organisms
Case studies
Chlorophyll
Chlorophylla
Cyanobacteria
Drinking water
Earth Resources And Remote Sensing
environment
environmental health
Imaging spectrometers
Inland waters
Lakes
MERIS timeseries
Phytoplankton
radiometry
Remote sensing
Satellites
spectrometers
stakeholders
surface water
Time series
time series analysis
Water monitoring
Water quality
Water quality management
Water quality monitoring
United States > US
Alaska
MERIS timeseries
Algorithm validation
Chlorophylla
Remote sensing
Water quality
Inland waters
Algorithm Validation
Remote Sensing
Inland Waters
Meris Timeseries
Water Quality
ISSN:0034-4257, 1879-0704
Online Access:Get full text
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Summary:Lakes and other surface fresh waterbodies provide drinking water, recreational and economic opportunities, food, and other critical support for humans, aquatic life, and ecosystem health. Lakes are also productive ecosystems that provide habitats and influence global cycles. Chlorophyll concentration provides a common metric of water quality, and is frequently used as a proxy for lake trophic state. Here, we document the generation and distribution of the complete MEdium Resolution Imaging Spectrometer (MERIS; Appendix A provides a complete list of abbreviations) radiometric time series for over 2300 satellite resolvable inland bodies of water across the contiguous United States (CONUS) and more than 5,000 in Alaska. This contribution greatly increases the ease of use of satellite remote sensing data for inland water quality monitoring, as well as highlights new horizons in inland water remote sensing algorithm development. We evaluate the performance of satellite remote sensing Cyanobacteria Index (CI)-based chlorophyll algorithms, the retrievals for which provide surrogate estimates of phytoplankton concentrations in cyanobacteria dominated lakes. Our analysis quantifies the algorithms' abilities to assess lake trophic state across the CONUS. As a case study, we apply a bootstrapping approach to derive a new CI-to-chlorophyll relationship, ChlBS, which performs relatively well with a multiplicative bias of 1.11 (11%) and mean absolute error of 1.60 (60%). While the primary contribution of this work is the distribution of the MERIS radiometric timeseries, we provide this case study as a roadmap for future stakeholders' algorithm development activities, as well as a tool to assess the strengths and weaknesses of applying a single algorithm across CONUS. •Timeseries data set was developed of satellite remote sensing of US inland waters.•The dataset includes radiometry and an estimation of cyanobacteria abundance.•The dataset is public and easily modifiable for a variety of end-user applications.•A case study on algorithm development to estimate cyanoHAB chlorophyll is presented.•This case study provides steps for end-user algorithm development.
Bibliography:GSFC
Goddard Space Flight Center
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SourceType-Scholarly Journals-1
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ISSN:0034-4257
1879-0704
DOI:10.1016/j.rse.2021.112685