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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: 15

Chlorophyll-a concentrations and algal bloom condition paired with Sentinel-2 aquatic reflectance values collected for Brownlee Reservoir, ID from 2015 through 2020 Chlorophyll-a concentrations and algal bloom condition paired with Sentinel-2 aquatic reflectance values collected for Brownlee Reservoir, ID from 2015 through 2020

This data release presents two calibration datasets that relate aquatic reflectance derived from Sentinel-2 satellite imagery with algal bloom conditions in the Brownlee Reservoir on the Idaho Oregon border. These datasets were developed to evaluate remote sensing methods for identifying algal blooms in Brownlee Reservoir like those from July 2022 that are illustrated in field photo...
By
Idaho Water Science Center

Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, and Owasco Lake, New York, collected in August 2019 and August 2020 Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, and Owasco Lake, New York, collected in August 2019 and August 2020

This dataset contains taxonomic and biovolume data for phytoplankton sampled from Detroit Lake, OR, in August, 2019, and August, 2020. Taxonomy is reported to the lowest possible taxonomic level along with total and percent biovolume. Surface grab samples for phytoplankton enumeration were collected with a van Dorn type sampler and then transferred into a clearn polycarbonate churn...
By
Water Resources Mission Area

Measurements of Discharge in Small, Low-Flowing Streams Using Multiple Techniques Measurements of Discharge in Small, Low-Flowing Streams Using Multiple Techniques

The accompanying datasets include all field measurements collected as part of a study to evaluate multiple streamflow measurement techniques in small streams throughout the United States. Each individual dataset is paired with a metadata record describing the contents and purpose of that dataset.
By
Idaho Water Science Center
No results found.
Filter Total Items: 14

Evaluation of select velocity measurement techniques for estimating discharge in small streams across the United States Evaluation of select velocity measurement techniques for estimating discharge in small streams across the United States

Multiple instruments and methods exist for collecting discrete streamflow measurements in small streams with low flows, defined here as less than 5.7 m3/s (200 ft3/s). Included in the available methods are low-cost approaches that are infrequently used, in part, because their uncertainty is not well known. In this work, we evaluated the accuracy and suitability of three low-cost velocity
Authors
Tyler V. King, Stephen Hundt, Amy E. Simonson, Kyle W. Blasch
By
Water Resources Mission Area, Idaho Water Science Center, New York Water Science Center

Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data

Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via remote sensing. Although concentrations of chlorophyll-a and key pigments...
Authors
Carl J. Legleiter, Tyler V. King, Kurt D. Carpenter, Natalie Celeste Hall, Adam Mumford, E. Terrence Slonecker, Jennifer L. Graham, Victoria G. Stengel, Nancy Simon, Barry H. Rosen
By
Water Resources Mission Area, Idaho Water Science Center, New York Water Science Center, Oregon Water Science Center, Oklahoma-Texas Water Science Center, Florence Bascom Geoscience Center

Science and Products

Filter Total Items: 15

Chlorophyll-a concentrations and algal bloom condition paired with Sentinel-2 aquatic reflectance values collected for Brownlee Reservoir, ID from 2015 through 2020 Chlorophyll-a concentrations and algal bloom condition paired with Sentinel-2 aquatic reflectance values collected for Brownlee Reservoir, ID from 2015 through 2020

This data release presents two calibration datasets that relate aquatic reflectance derived from Sentinel-2 satellite imagery with algal bloom conditions in the Brownlee Reservoir on the Idaho Oregon border. These datasets were developed to evaluate remote sensing methods for identifying algal blooms in Brownlee Reservoir like those from July 2022 that are illustrated in field photo...
By
Idaho Water Science Center

Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, and Owasco Lake, New York, collected in August 2019 and August 2020 Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, and Owasco Lake, New York, collected in August 2019 and August 2020

This dataset contains taxonomic and biovolume data for phytoplankton sampled from Detroit Lake, OR, in August, 2019, and August, 2020. Taxonomy is reported to the lowest possible taxonomic level along with total and percent biovolume. Surface grab samples for phytoplankton enumeration were collected with a van Dorn type sampler and then transferred into a clearn polycarbonate churn...
By
Water Resources Mission Area

Measurements of Discharge in Small, Low-Flowing Streams Using Multiple Techniques Measurements of Discharge in Small, Low-Flowing Streams Using Multiple Techniques

The accompanying datasets include all field measurements collected as part of a study to evaluate multiple streamflow measurement techniques in small streams throughout the United States. Each individual dataset is paired with a metadata record describing the contents and purpose of that dataset.
By
Idaho Water Science Center
No results found.
Filter Total Items: 14

Evaluation of select velocity measurement techniques for estimating discharge in small streams across the United States Evaluation of select velocity measurement techniques for estimating discharge in small streams across the United States

Multiple instruments and methods exist for collecting discrete streamflow measurements in small streams with low flows, defined here as less than 5.7 m3/s (200 ft3/s). Included in the available methods are low-cost approaches that are infrequently used, in part, because their uncertainty is not well known. In this work, we evaluated the accuracy and suitability of three low-cost velocity
Authors
Tyler V. King, Stephen Hundt, Amy E. Simonson, Kyle W. Blasch
By
Water Resources Mission Area, Idaho Water Science Center, New York Water Science Center

Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data

Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via remote sensing. Although concentrations of chlorophyll-a and key pigments...
Authors
Carl J. Legleiter, Tyler V. King, Kurt D. Carpenter, Natalie Celeste Hall, Adam Mumford, E. Terrence Slonecker, Jennifer L. Graham, Victoria G. Stengel, Nancy Simon, Barry H. Rosen
By
Water Resources Mission Area, Idaho Water Science Center, New York Water Science Center, Oregon Water Science Center, Oklahoma-Texas Water Science Center, Florence Bascom Geoscience Center

*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

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