Tyler King
Dr. Tyler King is a supervisory research hydrologist with the Advanced Analytics Team in the Hydrologic Remote Sensing Branch of the Water Resources Mission Area, and is based in Boise, ID.
Tyler King is a research scientist focused on advancing the production of scientific data products to improve hydrologic monitoring. His research has focused on remote sensing of aquatic chlorophyll, quantifying the accuracy of low-cost discharge measurement methods, development of methods for operationally retrieving water quality estimates from satellite imagery, advancing fundamental understanding of the factors that link temperature regimes of Arctic rivers to their environment, remotely sensing river discharge by coupling aerial imagery with hydraulic models, quantifying the impact of reservoir operation on downstream river temperature, and identifying algal taxa from hyperspectral satellite imagery. With each of these foci, Tyler aims to translate scientific advances into application driven datasets and tools to assist decision makers and the public in natural resource management.
Professional Experience
October 2024 – Present: Supervisory Research Hydrologist in the Hydrologic Remote Sensing Branch, USGS Water Resources Mission Area, Boise, ID
June 2023 – October 2024: Research Hydrologist, USGS Idaho Water Science Center, Boise, ID
June 2019 – June 2023: Hydrologist, USGS Idaho Water Science Center, Boise, ID
Education and Certifications
Ph.D., Civil and Environmental Engineering, Utah State University - 2018
M.S., Hydrology, University of New Hampshire - 2012
B.S., Environmental Science, University of New Hampshire - 2010
Affiliations and Memberships*
American Water Resources Association (AWRA)
Science and Products
Filter Total Items: 17
Benthic community composition and chemistry of water, sediment, and periphyton throughout a copper treatment to eradicate invasive mussels in the Snake River, Idaho, 2023 Benthic community composition and chemistry of water, sediment, and periphyton throughout a copper treatment to eradicate invasive mussels in the Snake River, Idaho, 2023
This dataset includes information collected before and after a 2023 copper treatment was implemented by the State of Idaho to eradicate invasive quagga mussels in the Snake River, Idaho. Water, sediment, periphyton, and macroinvertebrates were sampled at Snake River sites upstream, within, and downstream of the copper treatment reach in order to evaluate the fate and transport of the...
Water Temperature of Lakes in the Conterminous U.S. Using the Landsat 8 Analysis Ready Dataset Raster Images from 2013-2023 Water Temperature of Lakes in the Conterminous U.S. Using the Landsat 8 Analysis Ready Dataset Raster Images from 2013-2023
This data release contains lake and reservoir water surface temperature summary statistics calculated from Landsat 8 Analysis Ready Dataset (ARD) images available within the Conterminous United States (CONUS) from 2013-2023. All zip files within this data release contain nested directories using .parquet files to store the data. The file example_script_for_using_parquet.R contains...
Sentinel-2 ACOLITE-DSF Aquatic Reflectance for the Conterminous United States Sentinel-2 ACOLITE-DSF Aquatic Reflectance for the Conterminous United States
This dynamic data release presents an aquatic reflectance product with 20-meter spatial resolution derived from Sentinel-2 satellite imagery for the conterminous United States using the Atmospheric Correction for OLI “lite” (ACOLITE). Aquatic reflectance, noted Rhow in ACOLITE documentation, is defined here as unitless water-leaving radiance reflectance and represents the ratio of water...
Remote sensing and in-situ data to support chlorophyll-a mapping in Blue Mesa Reservoir from Sentinel-2 imagery Remote sensing and in-situ data to support chlorophyll-a mapping in Blue Mesa Reservoir from Sentinel-2 imagery
This data set includes estimates of aquatic chlorophyll a concentration and reservoir temperature for Blue Mesa Reservoir, CO. A Random Forest modeling approach was trained to model near-surface aquatic chlorophyll a using near-coincident Sentinel-2 satellite imagery and water samples analyzed for chlorophyll a concentration. The trained chlorophyll a model was applied to Sentinel-2...
Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022 Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022
This dataset is a collection of hyperspectral imagery profiles of algae, many associated with Harmful Algae Blooms (HABs). Data were collected using a microscope-based hyperspectral imaging system with the cooperation of the National Institute of Standards and Technology. Samples were collected from U.S. Geological Survey (USGS) water quality sampling efforts, to include water quality...
Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021 Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021
Three water-quality models were generated to estimate total phosphorus (TP) concentrations and loads from 2002 – 2021 in the Boise River near Parma, Idaho. A Weighted Regression on Time Discharge and Season (WRTDS) model and a Weighted Regression on Time Discharge and Season with Kalman filtering (WRTDS-K) model were generated using all observations within the study period to quantify...
Filter Total Items: 17
Clarifying the trophic state concept to advance macroscale freshwater science and management Clarifying the trophic state concept to advance macroscale freshwater science and management
For over a century, ecologists have used the concept of trophic state (TS) to characterize an aquatic ecosystem's biological productivity. However, multiple TS classification schemes, each relying on a variety of measurable parameters as proxies for productivity, have emerged to meet use-specific needs. Frequently, chlorophyll a, phosphorus, and Secchi depth are used to classify TS based...
Authors
Michael Frederick Meyer, Benjamin M. Kraemer, Carolina C. Barbosa, Davi G.F. Cuhna, Walter Dodds, Stephanie E. Hampton, César Ordóñez, Rachel M. Pilla, Amina Pollard, Joshua A. Culpepper, Alexander K. Fremier, Tyler V. King, Robert Ladwig, Dina M. Leech, Shin-Ichiro S Matsuzaki, Isabella Oleksy, Simon N. Topp, R. Iestyn Woolway, Ludmila S. Brighenti, Kate Fickas, Brian P. Lanouette, Jianning Ren, Mortimer Werther, Xiao Yang
Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado
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...
Authors
Tyler V. King, Robert Allen Bean, Katherine Walton-Day, M. Alisa Mast, Evan J. Gohring, Rachel G. Gidley, Natalie K. Day, Nicole D. Gibney
Fate and effects to the benthic community of a copper treatment to eradicate invasive mussels in a large western river, USA Fate and effects to the benthic community of a copper treatment to eradicate invasive mussels in a large western river, USA
Copper-based chemical treatments are commonly used to eradicate invasive mussels in small ponds and lakes, but their use in large rivers has been limited. In 2023, in response to a detection of invasive quagga mussels, a 10-km reach of the Snake River (Idaho, USA), was treated with an unprecedented 19,300 kg of chelated copper molluscicide to a target concentration of 1,000 µg/L for 10...
Authors
Austin K. Baldwin, Erin Murray, Lauren M. Zinsser, Tyler V. King, Scott D. Ducar, India Southern, Theresa Thom, Christopher A. Mebane
Spatial patterns and temporal trends in water quality in Idaho’s lower Boise River and its tributaries, 1994–2023 Spatial patterns and temporal trends in water quality in Idaho’s lower Boise River and its tributaries, 1994–2023
The lower Boise River in southwestern Idaho is a vital cultural, economic, and ecological resource, but some of its beneficial uses are impaired by excess algae, sediment, nutrients, and bacteria. In response, a variety of water quality improvement projects and regulations have been implemented in recent decades. A recent study showed that, from water years 2003 to 2021, concentrations...
Authors
Austin K. Baldwin, Tyler V. King
A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21 A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21
Total phosphorus (TP) concentrations and loads in the Boise River near Parma, Idaho, were examined to identify changes by month over a 19-year period from water year 2003 through water year 2021 and to evaluate the performance of three common water-quality models. Mean annual TP concentrations and loads were estimated to have reduced by approximately 60 percent over the study period...
Authors
Tyler V. King, Alysa M. Yoder
Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data
Remote sensing is often used to detect algae, but standard techniques do not provide information on the types of algae present or their potential to form a harmful algal bloom (HAB). We developed a framework for identifying algal genera based on reflectance: SMASH, short for Spectral Mixture Analysis for Surveillance of HABs. The Software Application for SMASH (SAS) was developed in...
Authors
Carl J. Legleiter, Tyler V. King
Science and Products
Filter Total Items: 17
Benthic community composition and chemistry of water, sediment, and periphyton throughout a copper treatment to eradicate invasive mussels in the Snake River, Idaho, 2023 Benthic community composition and chemistry of water, sediment, and periphyton throughout a copper treatment to eradicate invasive mussels in the Snake River, Idaho, 2023
This dataset includes information collected before and after a 2023 copper treatment was implemented by the State of Idaho to eradicate invasive quagga mussels in the Snake River, Idaho. Water, sediment, periphyton, and macroinvertebrates were sampled at Snake River sites upstream, within, and downstream of the copper treatment reach in order to evaluate the fate and transport of the...
Water Temperature of Lakes in the Conterminous U.S. Using the Landsat 8 Analysis Ready Dataset Raster Images from 2013-2023 Water Temperature of Lakes in the Conterminous U.S. Using the Landsat 8 Analysis Ready Dataset Raster Images from 2013-2023
This data release contains lake and reservoir water surface temperature summary statistics calculated from Landsat 8 Analysis Ready Dataset (ARD) images available within the Conterminous United States (CONUS) from 2013-2023. All zip files within this data release contain nested directories using .parquet files to store the data. The file example_script_for_using_parquet.R contains...
Sentinel-2 ACOLITE-DSF Aquatic Reflectance for the Conterminous United States Sentinel-2 ACOLITE-DSF Aquatic Reflectance for the Conterminous United States
This dynamic data release presents an aquatic reflectance product with 20-meter spatial resolution derived from Sentinel-2 satellite imagery for the conterminous United States using the Atmospheric Correction for OLI “lite” (ACOLITE). Aquatic reflectance, noted Rhow in ACOLITE documentation, is defined here as unitless water-leaving radiance reflectance and represents the ratio of water...
Remote sensing and in-situ data to support chlorophyll-a mapping in Blue Mesa Reservoir from Sentinel-2 imagery Remote sensing and in-situ data to support chlorophyll-a mapping in Blue Mesa Reservoir from Sentinel-2 imagery
This data set includes estimates of aquatic chlorophyll a concentration and reservoir temperature for Blue Mesa Reservoir, CO. A Random Forest modeling approach was trained to model near-surface aquatic chlorophyll a using near-coincident Sentinel-2 satellite imagery and water samples analyzed for chlorophyll a concentration. The trained chlorophyll a model was applied to Sentinel-2...
Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022 Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022
This dataset is a collection of hyperspectral imagery profiles of algae, many associated with Harmful Algae Blooms (HABs). Data were collected using a microscope-based hyperspectral imaging system with the cooperation of the National Institute of Standards and Technology. Samples were collected from U.S. Geological Survey (USGS) water quality sampling efforts, to include water quality...
Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021 Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021
Three water-quality models were generated to estimate total phosphorus (TP) concentrations and loads from 2002 – 2021 in the Boise River near Parma, Idaho. A Weighted Regression on Time Discharge and Season (WRTDS) model and a Weighted Regression on Time Discharge and Season with Kalman filtering (WRTDS-K) model were generated using all observations within the study period to quantify...
Filter Total Items: 17
Clarifying the trophic state concept to advance macroscale freshwater science and management Clarifying the trophic state concept to advance macroscale freshwater science and management
For over a century, ecologists have used the concept of trophic state (TS) to characterize an aquatic ecosystem's biological productivity. However, multiple TS classification schemes, each relying on a variety of measurable parameters as proxies for productivity, have emerged to meet use-specific needs. Frequently, chlorophyll a, phosphorus, and Secchi depth are used to classify TS based...
Authors
Michael Frederick Meyer, Benjamin M. Kraemer, Carolina C. Barbosa, Davi G.F. Cuhna, Walter Dodds, Stephanie E. Hampton, César Ordóñez, Rachel M. Pilla, Amina Pollard, Joshua A. Culpepper, Alexander K. Fremier, Tyler V. King, Robert Ladwig, Dina M. Leech, Shin-Ichiro S Matsuzaki, Isabella Oleksy, Simon N. Topp, R. Iestyn Woolway, Ludmila S. Brighenti, Kate Fickas, Brian P. Lanouette, Jianning Ren, Mortimer Werther, Xiao Yang
Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado
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...
Authors
Tyler V. King, Robert Allen Bean, Katherine Walton-Day, M. Alisa Mast, Evan J. Gohring, Rachel G. Gidley, Natalie K. Day, Nicole D. Gibney
Fate and effects to the benthic community of a copper treatment to eradicate invasive mussels in a large western river, USA Fate and effects to the benthic community of a copper treatment to eradicate invasive mussels in a large western river, USA
Copper-based chemical treatments are commonly used to eradicate invasive mussels in small ponds and lakes, but their use in large rivers has been limited. In 2023, in response to a detection of invasive quagga mussels, a 10-km reach of the Snake River (Idaho, USA), was treated with an unprecedented 19,300 kg of chelated copper molluscicide to a target concentration of 1,000 µg/L for 10...
Authors
Austin K. Baldwin, Erin Murray, Lauren M. Zinsser, Tyler V. King, Scott D. Ducar, India Southern, Theresa Thom, Christopher A. Mebane
Spatial patterns and temporal trends in water quality in Idaho’s lower Boise River and its tributaries, 1994–2023 Spatial patterns and temporal trends in water quality in Idaho’s lower Boise River and its tributaries, 1994–2023
The lower Boise River in southwestern Idaho is a vital cultural, economic, and ecological resource, but some of its beneficial uses are impaired by excess algae, sediment, nutrients, and bacteria. In response, a variety of water quality improvement projects and regulations have been implemented in recent decades. A recent study showed that, from water years 2003 to 2021, concentrations...
Authors
Austin K. Baldwin, Tyler V. King
A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21 A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21
Total phosphorus (TP) concentrations and loads in the Boise River near Parma, Idaho, were examined to identify changes by month over a 19-year period from water year 2003 through water year 2021 and to evaluate the performance of three common water-quality models. Mean annual TP concentrations and loads were estimated to have reduced by approximately 60 percent over the study period...
Authors
Tyler V. King, Alysa M. Yoder
Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data
Remote sensing is often used to detect algae, but standard techniques do not provide information on the types of algae present or their potential to form a harmful algal bloom (HAB). We developed a framework for identifying algal genera based on reflectance: SMASH, short for Spectral Mixture Analysis for Surveillance of HABs. The Software Application for SMASH (SAS) was developed in...
Authors
Carl J. Legleiter, Tyler V. King
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government