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Travis Harrison

Develops web applications and statistical software for the management and analysis of scientific data.

Research Interests:

  • Web applications and statistical software
  • Data management and summarization
  • Statistics and machine learning

Current Projects:

  • Deep learning for automated detection and classification of waterfowl, seabirds, and other marine wildlife from digital aerial imagery
  • Web applications for the management, visualization and analysis of fish catch and telemetry data

Education and Certifications

  • B.S. Statistics, University of Wisconsin - La Crosse, La Crosse, WI, 2017

Science and Products

link
Sample graphs and catch data points, displayed on a map, from the Illinois River Catch Database and web application.

Database and web application for invasive carp catch data (Illinois River Catch Database)

Four types of invasive carp are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC) implements...
By
Upper Midwest Environmental Sciences Center
link

Database and web application for invasive carp catch data (Illinois River Catch Database)

Four types of invasive carp are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC) implements...
Learn More
link
FishTracks Telemetry Database and web application map interface with available search filters and map legend

Database and web application for invasive carp telemetry data (FishTracks)

Four types of invasive carp fish species, are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC)...
By
Upper Midwest Environmental Sciences Center
link

Database and web application for invasive carp telemetry data (FishTracks)

Four types of invasive carp fish species, are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC)...
Learn More
link
USGS science for a changing world logo

USGS Cloud Environment Cookbook

The cloud offers new and exciting opportunities for USGS employees to leverage computing resources and services that can quickly improve their workflows and reduce expenditures typically associated with establishing a comparable environment with physical infrastructure. However, due to the novelty of access to and use of the cloud environment, there is limited documentation and shared examples det
By
Community for Data Integration (CDI)
link

USGS Cloud Environment Cookbook

The cloud offers new and exciting opportunities for USGS employees to leverage computing resources and services that can quickly improve their workflows and reduce expenditures typically associated with establishing a comparable environment with physical infrastructure. However, due to the novelty of access to and use of the cloud environment, there is limited documentation and shared examples det
Learn More
link
An aerial image of a flock of waterfowl floating on the ocean.

Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery

In collaboration with the Bureau of Ocean Energy Management, U.S. Fish and Wildlife Service, and the Vision Group at the International Computer Science Institute at the University of California - Berkeley, the U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation...
By
Energy & Wildlife, Upper Midwest Environmental Sciences Center
link

Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery

In collaboration with the Bureau of Ocean Energy Management, U.S. Fish and Wildlife Service, and the Vision Group at the International Computer Science Institute at the University of California - Berkeley, the U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation...
Learn More

Visualizing proximity of non-native species to protected areas of the United States—A proximity visualization tool for BISON

The Proximity Visualization Tool is a simple lightweight tool that can be placed on web pages that allows users to identify non-native species near Department of Interior lands. The tool works by accessing the more than 400 million species occurrence records in the Biodiversity Information Serving Our Nation (BISON) database using the BISON Application Programming Interface (API).
By
Ecosystems, Upper Midwest Environmental Sciences Center

USGS Illinois River monitoring and evaluation

Asian carp monitoring and contract removal will continue throughout the Upper Illinois Waterway system as needed for adaptive management to mitigate, control, and contain Asian carp. Compiling data from monitoring and removal efforts into a centralized database (Illinois River Catch Database application) facilitates data standardization, quality, accessibility, sharing, and analysis to aid in Asia
By
Ecosystems, Upper Midwest Environmental Sciences Center

Patterns of mercury and selenium exposure in Minnesota common loons

Common loons (Gavia immer) are at risk of elevated dietary mercury (Hg) exposure in portions of their breeding range. To assess the level of risk among loons in Minnesota (USA), we investigated loon blood Hg concentrations in breeding lakes across Minnesota. Loon blood Hg concentrations were regressed on predicted Hg concentrations in standardized 12‐cm whole‐organism yellow perch (Perca flavescen
By
Ecosystems, Contaminant Biology, Upper Midwest Environmental Sciences Center

Science and Products

  • Science
    link
    Sample graphs and catch data points, displayed on a map, from the Illinois River Catch Database and web application.

    Database and web application for invasive carp catch data (Illinois River Catch Database)

    Four types of invasive carp are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC) implements...
    By
    Upper Midwest Environmental Sciences Center
    link

    Database and web application for invasive carp catch data (Illinois River Catch Database)

    Four types of invasive carp are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC) implements...
    Learn More
    link
    FishTracks Telemetry Database and web application map interface with available search filters and map legend

    Database and web application for invasive carp telemetry data (FishTracks)

    Four types of invasive carp fish species, are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC)...
    By
    Upper Midwest Environmental Sciences Center
    link

    Database and web application for invasive carp telemetry data (FishTracks)

    Four types of invasive carp fish species, are currently found in the United States: black, grass, silver, and bighead carps. These species are fast growing, prolific feeders that out-compete native fish species and drastically alter the natural ecosystems they invade. To prevent the spread of invasive carp into the Great Lakes, the multi-agency Asian Carp Regional Coordinating Committee (ACRCC)...
    Learn More
    link
    USGS science for a changing world logo

    USGS Cloud Environment Cookbook

    The cloud offers new and exciting opportunities for USGS employees to leverage computing resources and services that can quickly improve their workflows and reduce expenditures typically associated with establishing a comparable environment with physical infrastructure. However, due to the novelty of access to and use of the cloud environment, there is limited documentation and shared examples det
    By
    Community for Data Integration (CDI)
    link

    USGS Cloud Environment Cookbook

    The cloud offers new and exciting opportunities for USGS employees to leverage computing resources and services that can quickly improve their workflows and reduce expenditures typically associated with establishing a comparable environment with physical infrastructure. However, due to the novelty of access to and use of the cloud environment, there is limited documentation and shared examples det
    Learn More
    link
    An aerial image of a flock of waterfowl floating on the ocean.

    Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery

    In collaboration with the Bureau of Ocean Energy Management, U.S. Fish and Wildlife Service, and the Vision Group at the International Computer Science Institute at the University of California - Berkeley, the U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation...
    By
    Energy & Wildlife, Upper Midwest Environmental Sciences Center
    link

    Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery

    In collaboration with the Bureau of Ocean Energy Management, U.S. Fish and Wildlife Service, and the Vision Group at the International Computer Science Institute at the University of California - Berkeley, the U.S. Geological Survey Upper Midwest Environmental Sciences Center is developing deep learning algorithms and tools for the automatic detection, enumeration, classification, and annotation...
    Learn More
  • Publications

    Visualizing proximity of non-native species to protected areas of the United States—A proximity visualization tool for BISON

    The Proximity Visualization Tool is a simple lightweight tool that can be placed on web pages that allows users to identify non-native species near Department of Interior lands. The tool works by accessing the more than 400 million species occurrence records in the Biodiversity Information Serving Our Nation (BISON) database using the BISON Application Programming Interface (API).
    By
    Ecosystems, Upper Midwest Environmental Sciences Center

    USGS Illinois River monitoring and evaluation

    Asian carp monitoring and contract removal will continue throughout the Upper Illinois Waterway system as needed for adaptive management to mitigate, control, and contain Asian carp. Compiling data from monitoring and removal efforts into a centralized database (Illinois River Catch Database application) facilitates data standardization, quality, accessibility, sharing, and analysis to aid in Asia
    By
    Ecosystems, Upper Midwest Environmental Sciences Center

    Patterns of mercury and selenium exposure in Minnesota common loons

    Common loons (Gavia immer) are at risk of elevated dietary mercury (Hg) exposure in portions of their breeding range. To assess the level of risk among loons in Minnesota (USA), we investigated loon blood Hg concentrations in breeding lakes across Minnesota. Loon blood Hg concentrations were regressed on predicted Hg concentrations in standardized 12‐cm whole‐organism yellow perch (Perca flavescen
    By
    Ecosystems, Contaminant Biology, Upper Midwest Environmental Sciences Center