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Software

Filter Total Items: 28

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.
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Development of a web-based tool for coastal water resources management

The sustainability of coastal water resources is being affected by climate change, sea level rise, and modifications to land use and hydrologic systems. To prepare for and respond to these drivers of hydrologic change, coastal water managers need real-time data, an understanding of temporal trends, and information about how current and historical data compare. Coastal water managers often must mak
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Development of a web-based tool for coastal water resources management

The sustainability of coastal water resources is being affected by climate change, sea level rise, and modifications to land use and hydrologic systems. To prepare for and respond to these drivers of hydrologic change, coastal water managers need real-time data, an understanding of temporal trends, and information about how current and historical data compare. Coastal water managers often must mak
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Delivering the North American tree-ring fire history network through a web application and an R package

Wildfires are increasing across the western U.S., causing damage to ecosystems and communities. Addressing the fire problem requires understanding the trends and drivers of fire, yet most fire data is limited only to recent decades. Tree-ring fire scars provide fire records spanning 300-500 years, yet these data are largely inaccessible to potential users. Our project will deliver the newly compil
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Delivering the North American tree-ring fire history network through a web application and an R package

Wildfires are increasing across the western U.S., causing damage to ecosystems and communities. Addressing the fire problem requires understanding the trends and drivers of fire, yet most fire data is limited only to recent decades. Tree-ring fire scars provide fire records spanning 300-500 years, yet these data are largely inaccessible to potential users. Our project will deliver the newly compil
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Enabling AI for citizen science in fish ecology

Artificial Intelligence (AI) is revolutionizing ecology and conservation by enabling species recognition from photos and videos. Our project evaluates the capacity to expand AI for individual fish recognition for population assessment. The success of this effort would facilitate fisheries analysis at an unprecedented scale by engaging anglers and citizen scientists in imagery collection.This proje
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Enabling AI for citizen science in fish ecology

Artificial Intelligence (AI) is revolutionizing ecology and conservation by enabling species recognition from photos and videos. Our project evaluates the capacity to expand AI for individual fish recognition for population assessment. The success of this effort would facilitate fisheries analysis at an unprecedented scale by engaging anglers and citizen scientists in imagery collection.This proje
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Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework

Computational models are important tools that aid process understanding, hypothesis testing, and data interpretation. The ability to easily couple models from various domains such as, surface-water and groundwater, to form integrated models will aid studies in water resources. This project investigates the use of the Community Surface Dynamics Modeling System (CSDMS) Modeling Framework (CMF) to
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Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework

Computational models are important tools that aid process understanding, hypothesis testing, and data interpretation. The ability to easily couple models from various domains such as, surface-water and groundwater, to form integrated models will aid studies in water resources. This project investigates the use of the Community Surface Dynamics Modeling System (CSDMS) Modeling Framework (CMF) to
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Develop Cloud Computing Capability at Streamgages using Amazon Web Services GreenGrass IoT Framework for Camera Image Velocity Gaging

We developed an Internet of Things (IoT) prototype and associated cloud infrastructure for camera-based data collection and initial processing of river streamflow using the cloud (fig. 1). This pilot successfully created a hardware and cloud infrastructure to collect and upload video from a camera gage at San Pedro Creek in San Antonio, Texas. Using a ThingLogix Foundry instance in the Amazon Webs
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Develop Cloud Computing Capability at Streamgages using Amazon Web Services GreenGrass IoT Framework for Camera Image Velocity Gaging

We developed an Internet of Things (IoT) prototype and associated cloud infrastructure for camera-based data collection and initial processing of river streamflow using the cloud (fig. 1). This pilot successfully created a hardware and cloud infrastructure to collect and upload video from a camera gage at San Pedro Creek in San Antonio, Texas. Using a ThingLogix Foundry instance in the Amazon Webs
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High-Resolution, Interagency Biosurveillance of Threatened Surface Waters in the United States

Advances in information technology now provide large volume, high-frequency data collection which may improve real-time biosurveillance and forecasting. But, big data streams present challenges for data management and timely analysis. As a first step in creating a data science pipeline for translating large datasets into meaningful interpretations, we created a cloud-hosted PostgreSQL database tha
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High-Resolution, Interagency Biosurveillance of Threatened Surface Waters in the United States

Advances in information technology now provide large volume, high-frequency data collection which may improve real-time biosurveillance and forecasting. But, big data streams present challenges for data management and timely analysis. As a first step in creating a data science pipeline for translating large datasets into meaningful interpretations, we created a cloud-hosted PostgreSQL database tha
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