Travis Harrison (Former Employee)
Science and Products
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)...
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...
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
Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery
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 of seabirds and other marine wildlife from digital aerial imagery — advancing cutting-edge research in collaboration with the Bureau of Ocean Energy Management (BOEM), the U.S. Fish and Wildlife Service (FWS...
Filter Total Items: 14
Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine learning processing to detect and classify wildlife from imagery in near real-time, we evaluated deep learning methods that address hardware limitati
Authors
Tsung-Wei Ke, Stella X Yu, Mark D. Koneff, David L. Fronczak, Luke J. Fara, Travis Harrison, Kyle Lawrence Landolt, Enrika Hlavacek, Brian R. Lubinski, Timothy White
Challenges and solutions for automated avian recognition in aerial imagery
Remote aerial sensing provides a non-invasive, large geographical-scale technology for avian monitoring, but the manual processing of images limits its development and applications. Artificial Intelligence (AI) methods can be used to mitigate this manual image processing requirement. The implementation of AI methods, however, has several challenges: (1) imbalanced (i.e., long-tailed) data distribu
Authors
Zhonqgi Miao, Stella X Yu, Kyle Lawrence Landolt, Mark D. Koneff, Timothy White, Luke J. Fara, Enrika Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz
Assessment of three methods to evaluate the distribution of submersed aquatic vegetation in western Lake Erie
Submersed aquatic vegetation (SAV) plays an important role in ecosystems. Inventories of SAV spatial distribution and composition are important for monitoring changes in SAV. In this study, we compared three common SAV sampling methods to quantify SAV in western Lake Erie. Aerial imagery of near-shore areas in western Lake Erie was classified using object-based image analysis (OBIA) and evaluated
Authors
Nicole R. King, Jenny L. Hanson, Travis J. Harrison, Patrick M. Kočovský, Christine M. Mayer
USGS invasive carp database management and integration support
No abstract available.
Authors
Enrika Hlavacek, Travis J. Harrison
USGS Telemetry Project
No abstract available.
Authors
Marybeth K. Brey, Brent C. Knights, Jessica Stanton, Sean Bailey, Travis J. Harrison, Douglas Appel, Andrea K. Fritts, James J. Duncker, P. Ryan Jackson
USGS invasive carp database management and integration support
Bigheaded carps (Bighead Carp and Silver Carp) tracking, monitoring, and contracted removal will continue throughout the Illinois River and Upper Mississippi River as part of an adaptive management effort to mitigate, control, and contain bigheaded carps. Other fish will also be tracked to maintain a holistic view of the transmitter distribution in the Upper Illinois River Waterway. To facilitate
Authors
Travis J. Harrison, Marybeth K. Brey, Jayme M. Strange
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).
Authors
Travis J. Harrison, Enrika Hlavacek, Jennifer Dieck
USGS Illinois River Monitoring and Evaluation
No abstract available.
Authors
Travis J. Harrison, Kevin D. Hop, Enrika Hlavacek, Brent C. Knights
USGS Telemetry Project
Telemetry of acoustically tagged bigheaded carp (i.e., bighead carp Hypophthalmichthys nobilis and silver carp H. molitrix) and surrogate fish species has become an invaluable tool in management for these species in the upper Illinois Waterway Systems (i.e., upper Illinois River, lower Des Plaines River, and Chicago Area Waterway System). For example, movement probabilities between adjacent naviga
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Douglas Appel, Enrika Hlavacek, James J. Duncker
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
Authors
Travis J. Harrison, Kevin D. Hop, Enrika Hlavacek, Brent C. Knights
USGS telemetry database and analyses in support of SEAcarP
No abstract available.
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Timothy J. Fox, Enrika Hlavacek, James J. Duncker
USGS real-time telemetry in support of management
No abstract available.
Authors
Brent C. Knights, Marybeth K. Brey, Douglas Appel, Travis J. Harrison, James J. Duncker
Science and Products
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)...
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...
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
Deep Learning for Automated Detection and Classification of Waterfowl, Seabirds, and other Wildlife from Digital Aerial Imagery
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 of seabirds and other marine wildlife from digital aerial imagery — advancing cutting-edge research in collaboration with the Bureau of Ocean Energy Management (BOEM), the U.S. Fish and Wildlife Service (FWS...
Filter Total Items: 14
Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine learning processing to detect and classify wildlife from imagery in near real-time, we evaluated deep learning methods that address hardware limitati
Authors
Tsung-Wei Ke, Stella X Yu, Mark D. Koneff, David L. Fronczak, Luke J. Fara, Travis Harrison, Kyle Lawrence Landolt, Enrika Hlavacek, Brian R. Lubinski, Timothy White
Challenges and solutions for automated avian recognition in aerial imagery
Remote aerial sensing provides a non-invasive, large geographical-scale technology for avian monitoring, but the manual processing of images limits its development and applications. Artificial Intelligence (AI) methods can be used to mitigate this manual image processing requirement. The implementation of AI methods, however, has several challenges: (1) imbalanced (i.e., long-tailed) data distribu
Authors
Zhonqgi Miao, Stella X Yu, Kyle Lawrence Landolt, Mark D. Koneff, Timothy White, Luke J. Fara, Enrika Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz
Assessment of three methods to evaluate the distribution of submersed aquatic vegetation in western Lake Erie
Submersed aquatic vegetation (SAV) plays an important role in ecosystems. Inventories of SAV spatial distribution and composition are important for monitoring changes in SAV. In this study, we compared three common SAV sampling methods to quantify SAV in western Lake Erie. Aerial imagery of near-shore areas in western Lake Erie was classified using object-based image analysis (OBIA) and evaluated
Authors
Nicole R. King, Jenny L. Hanson, Travis J. Harrison, Patrick M. Kočovský, Christine M. Mayer
USGS invasive carp database management and integration support
No abstract available.
Authors
Enrika Hlavacek, Travis J. Harrison
USGS Telemetry Project
No abstract available.
Authors
Marybeth K. Brey, Brent C. Knights, Jessica Stanton, Sean Bailey, Travis J. Harrison, Douglas Appel, Andrea K. Fritts, James J. Duncker, P. Ryan Jackson
USGS invasive carp database management and integration support
Bigheaded carps (Bighead Carp and Silver Carp) tracking, monitoring, and contracted removal will continue throughout the Illinois River and Upper Mississippi River as part of an adaptive management effort to mitigate, control, and contain bigheaded carps. Other fish will also be tracked to maintain a holistic view of the transmitter distribution in the Upper Illinois River Waterway. To facilitate
Authors
Travis J. Harrison, Marybeth K. Brey, Jayme M. Strange
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).
Authors
Travis J. Harrison, Enrika Hlavacek, Jennifer Dieck
USGS Illinois River Monitoring and Evaluation
No abstract available.
Authors
Travis J. Harrison, Kevin D. Hop, Enrika Hlavacek, Brent C. Knights
USGS Telemetry Project
Telemetry of acoustically tagged bigheaded carp (i.e., bighead carp Hypophthalmichthys nobilis and silver carp H. molitrix) and surrogate fish species has become an invaluable tool in management for these species in the upper Illinois Waterway Systems (i.e., upper Illinois River, lower Des Plaines River, and Chicago Area Waterway System). For example, movement probabilities between adjacent naviga
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Douglas Appel, Enrika Hlavacek, James J. Duncker
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
Authors
Travis J. Harrison, Kevin D. Hop, Enrika Hlavacek, Brent C. Knights
USGS telemetry database and analyses in support of SEAcarP
No abstract available.
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Timothy J. Fox, Enrika Hlavacek, James J. Duncker
USGS real-time telemetry in support of management
No abstract available.
Authors
Brent C. Knights, Marybeth K. Brey, Douglas Appel, Travis J. Harrison, James J. Duncker