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Web Application

Filter Total Items: 74

A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data

Provide synthesis of water quality data to better understand the Nation’s water resources
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A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data

Provide synthesis of water quality data to better understand the Nation’s water resources
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Making water tracing rock solid: national, geologic map-based visualization of USGS water strontium isotope data

Nationwide data source for USGS water strontium isotopes for hydrologic, ecologic, and forensic studies
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Making water tracing rock solid: national, geologic map-based visualization of USGS water strontium isotope data

Nationwide data source for USGS water strontium isotopes for hydrologic, ecologic, and forensic studies
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Communicating stream fish vulnerability to climate change

We will develop a vulnerability assessment R Shiny web application and present to stakeholders. The stakeholder feedback will be summarized into a one page ‘lessons learned’ document that will assist researchers in designing effective climate change visualizations and an R markdown ‘quick start’ guide on R Shiny applications.
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Communicating stream fish vulnerability to climate change

We will develop a vulnerability assessment R Shiny web application and present to stakeholders. The stakeholder feedback will be summarized into a one page ‘lessons learned’ document that will assist researchers in designing effective climate change visualizations and an R markdown ‘quick start’ guide on R Shiny applications.
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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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Availability, documentation, & community support for an open-source machine learning tool

We will make cutting-edge spectral analysis and machine learning algorithms available to remote sensing and chemical quantification communities, regardless of the user’s programming skills, by releasing, documenting, presenting, and developing tutorials for the Python Hyperspectral Analysis Tool.
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Availability, documentation, & community support for an open-source machine learning tool

We will make cutting-edge spectral analysis and machine learning algorithms available to remote sensing and chemical quantification communities, regardless of the user’s programming skills, by releasing, documenting, presenting, and developing tutorials for the Python Hyperspectral Analysis Tool.
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ZenRiver game concept: accelerating creation of machine learning imagery training datasets using citizen science

We aim to develop a web-based game where players use human-assisted image segmentation to produce annotated “meditation drawing” images of surface water sites to accelerate the creation of machine learning imagery training datasets. The game will also public education and outreach opportunities.
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ZenRiver game concept: accelerating creation of machine learning imagery training datasets using citizen science

We aim to develop a web-based game where players use human-assisted image segmentation to produce annotated “meditation drawing” images of surface water sites to accelerate the creation of machine learning imagery training datasets. The game will also public education and outreach opportunities.
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A Tool for Rapid-Repeat High-Resolution Coastal Vegetation Maps to Improve Forecasting of Hurricane Impacts and Coastal Resilience

We will develop and publish a stand-alone Python script to produce high-frequency and high-spatial resolution coastal vegetation maps that leverage new Planet 8-band 3m images, USGS CoNED topo-bathy DEMs, and 3DEP Height Above Ground data. These products will help improve forecasts of hurricane impacts.
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A Tool for Rapid-Repeat High-Resolution Coastal Vegetation Maps to Improve Forecasting of Hurricane Impacts and Coastal Resilience

We will develop and publish a stand-alone Python script to produce high-frequency and high-spatial resolution coastal vegetation maps that leverage new Planet 8-band 3m images, USGS CoNED topo-bathy DEMs, and 3DEP Height Above Ground data. These products will help improve forecasts of hurricane impacts.
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Increasing data accessibility by adding existing datasets and capabilities to a cutting-edge visualization app to enable cross-community use

We will collate and publish existing datasets from collaborators and ingest them into a visualization app to help researchers with machine learning model-building and hypothesis-making. These data collation and app development methods could help other researchers increase their data accessibility.
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Increasing data accessibility by adding existing datasets and capabilities to a cutting-edge visualization app to enable cross-community use

We will collate and publish existing datasets from collaborators and ingest them into a visualization app to help researchers with machine learning model-building and hypothesis-making. These data collation and app development methods could help other researchers increase their data accessibility.
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An open-source interactive time series viewer for geophysical data

To help users connect and comprehend USGS data, we propose to develop an interactive viewer for multi-channel geophysical data using existing Python PyViz tools.
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An open-source interactive time series viewer for geophysical data

To help users connect and comprehend USGS data, we propose to develop an interactive viewer for multi-channel geophysical data using existing Python PyViz tools.
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Quantifying landcover drivers of urban extreme heat by generating nationwide and city-specific analytical models

We synthesize local high-resolution urban landcover imagery with microclimate data and regional meteorology to determine landcover drivers of extreme urban heat. Resulting outputs are mappable items spatially describing urban temperatures at fine scales, and a web application to analyze changes in urban heat under different climate scenarios.
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Quantifying landcover drivers of urban extreme heat by generating nationwide and city-specific analytical models

We synthesize local high-resolution urban landcover imagery with microclimate data and regional meteorology to determine landcover drivers of extreme urban heat. Resulting outputs are mappable items spatially describing urban temperatures at fine scales, and a web application to analyze changes in urban heat under different climate scenarios.
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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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Building a USGS community for FAIR & integrated modeling​

This project develops an approach to common questions USGS scientists are faced with when working on multidisciplinary teams to address complex challenges — what models are available? When is it appropriate to couple/integrate models? And how can we apply technology to support an appropriate approach?
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Building a USGS community for FAIR & integrated modeling​

This project develops an approach to common questions USGS scientists are faced with when working on multidisciplinary teams to address complex challenges — what models are available? When is it appropriate to couple/integrate models? And how can we apply technology to support an appropriate approach?
Learn More