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Software

Filter Total Items: 34

SeeOtter: Improving software for AI-assisted processing of imagery for wildlife surveys

Expanding documentation, accessibility, and flexibility of a powerful AI tool for wildlife aerial photo-survey processing
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SeeOtter: Improving software for AI-assisted processing of imagery for wildlife surveys

Expanding documentation, accessibility, and flexibility of a powerful AI tool for wildlife aerial photo-survey processing
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Expansion of the Geophysical Survey (GS) data standard and open-source tools

Advancement of GS standard and GSPy software for improved functionality and interoperability of geophysical datasets
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Expansion of the Geophysical Survey (GS) data standard and open-source tools

Advancement of GS standard and GSPy software for improved functionality and interoperability of geophysical datasets
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Beginners Git, GitLab & Software Release Carpentries-like Training for USGS Personnel to Facilitate Open Science

Teach USGS personnel Git within code.usgs.gov to develop, track, share, and publish their code.
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Beginners Git, GitLab & Software Release Carpentries-like Training for USGS Personnel to Facilitate Open Science

Teach USGS personnel Git within code.usgs.gov to develop, track, share, and publish their code.
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Automated accuracy and quality assessment tools (AQAT = “a cat”) for generalized geospatial data

This project develops an open-source toolkit for the consistent, automated assessment of accuracy and cartographic quality of generalized geospatial data. The toolkit will aid USGS and other stakeholders with the development and use of multiscale data and with associated decision-making.
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Automated accuracy and quality assessment tools (AQAT = “a cat”) for generalized geospatial data

This project develops an open-source toolkit for the consistent, automated assessment of accuracy and cartographic quality of generalized geospatial data. The toolkit will aid USGS and other stakeholders with the development and use of multiscale data and with associated decision-making.
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Informing the use of native plant materials in restoration and rehabilitation with the Native Plant Seed Mapping Toolkit

Restoring ecosystems using native plant materials is a critical pursuit of federal land management agencies following natural disasters and disturbances. The Native Plant Seed Mapping Toolkit provides practitioners with quantitative data to support successful restoration outcomes.
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Informing the use of native plant materials in restoration and rehabilitation with the Native Plant Seed Mapping Toolkit

Restoring ecosystems using native plant materials is a critical pursuit of federal land management agencies following natural disasters and disturbances. The Native Plant Seed Mapping Toolkit provides practitioners with quantitative data to support successful restoration outcomes.
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Extracting data from maps: applying lessons learned from the AI for Critical Mineral Assessment Competition

This project will share techniques developed in two AI/ML competitions run in Fall 2022, Automated Map Georeferencing, and Automated Map Feature Extraction with USGS stakeholders. We will develop a strategy to operationalize successful approaches, benefiting any activity that uses legacy map data.
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Extracting data from maps: applying lessons learned from the AI for Critical Mineral Assessment Competition

This project will share techniques developed in two AI/ML competitions run in Fall 2022, Automated Map Georeferencing, and Automated Map Feature Extraction with USGS stakeholders. We will develop a strategy to operationalize successful approaches, benefiting any activity that uses legacy map data.
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Seg2Map: New Tools for ML-based Segmentation of Geospatial Imagery

This proposal would fund the development of Seg2Map, a new open-source, browser-accessible software deployed on the cloud that will apply Machine Learning to imagery and image time-series, to make highly customizable to study Earth’s changing surface for a range of scientific purposes.
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Seg2Map: New Tools for ML-based Segmentation of Geospatial Imagery

This proposal would fund the development of Seg2Map, a new open-source, browser-accessible software deployed on the cloud that will apply Machine Learning to imagery and image time-series, to make highly customizable to study Earth’s changing surface for a range of scientific purposes.
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CorVis: A lidar point cloud tool for visualization and analysis of corridors such as hydrologic, energy, and transportation networks

An open-source tool for 3D visualization of lidar point cloud data along a vector line network and output of related lidar metrics. This tool will make available the valuable attribute data of point clouds to enable research such as riparian zone and migration corridor vegetation structure analysis or characterizing the related built environment.
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CorVis: A lidar point cloud tool for visualization and analysis of corridors such as hydrologic, energy, and transportation networks

An open-source tool for 3D visualization of lidar point cloud data along a vector line network and output of related lidar metrics. This tool will make available the valuable attribute data of point clouds to enable research such as riparian zone and migration corridor vegetation structure analysis or characterizing the related built environment.
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Database tools for standardization & automation of eDNA workflows

We propose to bring in expertise from multiple USGS environmental DNA (eDNA) labs to create a database to track samples from initial collection through analysis and reporting and to long-term storage. We will publish this tracking template so it can be implemented within eDNA labs across the USGS.
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Database tools for standardization & automation of eDNA workflows

We propose to bring in expertise from multiple USGS environmental DNA (eDNA) labs to create a database to track samples from initial collection through analysis and reporting and to long-term storage. We will publish this tracking template so it can be implemented within eDNA labs across the USGS.
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Engaging Indigenous Communities to Co-Design a Real-time Monitoring Application to Protect their Socio-Cultural and Ecological Areas

Everglades tree islands are traditional homes of the Miccosukee and Seminole Tribes and contain their ancestral remains, but no monitoring tool exists for water managers to protect sites from destructive flooding. We propose stakeholder workshops to codesign a monitoring application with the Tribes.
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Engaging Indigenous Communities to Co-Design a Real-time Monitoring Application to Protect their Socio-Cultural and Ecological Areas

Everglades tree islands are traditional homes of the Miccosukee and Seminole Tribes and contain their ancestral remains, but no monitoring tool exists for water managers to protect sites from destructive flooding. We propose stakeholder workshops to codesign a monitoring application with the Tribes.
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Enhancing Decision Support with Restoration Project Data Pipelines

Effectively documenting and distributing information about restoration projects is essential for measuring progress towards national conservation goals. We will improve the National Fish Habitat Partnership Project Tracking database by creating a data pipeline to compile project information and link data with other decision support tools.
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Enhancing Decision Support with Restoration Project Data Pipelines

Effectively documenting and distributing information about restoration projects is essential for measuring progress towards national conservation goals. We will improve the National Fish Habitat Partnership Project Tracking database by creating a data pipeline to compile project information and link data with other decision support tools.
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Separating the land from the sea: image segmentation in support of coastal hazards research and community early warning systems

This proposal would fund the testing of quantitative methods for extracting total water level from imagery, with add-on applications including satellite shoreline detection, digital stream gauges, and flood detection. This project supports national scale USGS coastal hazards products.
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Separating the land from the sea: image segmentation in support of coastal hazards research and community early warning systems

This proposal would fund the testing of quantitative methods for extracting total water level from imagery, with add-on applications including satellite shoreline detection, digital stream gauges, and flood detection. This project supports national scale USGS coastal hazards products.
Learn More