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GitHub project hosting VPDC hosted Jupyter notebooks
Calculation based on Safford and Van de Water 2014 using fire perimeter data between January 1, 1950 and July 12, 2023 (Welty and Jeffries (2021) + NIFC Historic perimeters + NIFC year-to-date perimeters).
Use this link to download the entire file directly to your local storage through the browser. This method is ideal for quick and easy access but requires sufficient local storage and bandwidth for the full download.
Advanced Users: Click the link to copy the S3 path for this data layer.
Use this method if you need to access the file programmatically via
AWS tools, scripts, or applications.
Example:
To load the GeoTIFF file directly in R using the terra package, you
can use the following code:
pfrid = terra::rast("s3://vp-open-science/pFRID/beta/pfrid_1950_2023_all-severity_safford2014-method.tif")P-value from a binomial distribution assuming inverse of historic mean fire return interval is the true fire return frequency, observed number of fires is the number of "successes", and total number of years between 1950 and 2023 (inclusive) is the number of "trials".
Use this link to download the entire file directly to your local storage through the browser. This method is ideal for quick and easy access but requires sufficient local storage and bandwidth for the full download.
Advanced Users: Click the link to copy the S3 path for this data layer.
Use this method if you need to access the file programmatically via
AWS tools, scripts, or applications.
Example:
To load the GeoTIFF file directly in R using the terra package, you
can use the following code:
pfrid = terra::rast("s3://vp-open-science/pFRID/beta/pfrid_1950_2023_all-severity_binomial-method.tif")pFRID data masked to only show pixels where null hypothesis significance test value is less than or equal to 2.5 or greater than or equal to 97.5).
Use this link to download the entire file directly to your local storage through the browser. This method is ideal for quick and easy access but requires sufficient local storage and bandwidth for the full download.
Advanced Users: Click the link to copy the S3 path for this data layer.
Use this method if you need to access the file programmatically via
AWS tools, scripts, or applications.
Example:
To load the GeoTIFF file directly in R using the terra package, you
can use the following code:
pfrid = terra::rast("ss3://vp-open-science/pFRID/beta/pfrid_1950_2023_all-severity_significantly-departed.tif")Best for analysis in GIS software focused on the continental U.S. where preserving area measurements is important.
Ideal for cloud-based analysis, fast web visualization, and large datasets.
Optimized for web mapping applications.
Best for analysis in GIS software focused on the continental U.S. where preserving area measurements is important.
Ideal for cloud-based analysis, fast web visualization, and large datasets.
Optimized for web mapping applications.
Download this starter Jupyter Notebook for quick data exploration and visualization. Ideal for users with a local Jupyter setup.
Launch this basic data exploration and visualization notebook directly in Google Colab (no setup required).
LDSim model results analyzed at the Geophysical Unit (GPU) scale for the Yuba Watershedt.
LDSim model results analyzed at the Subbasin scale for the Yuba Watershed
LDSim data of historical biomass ranging from high to low at the biophysical unit scale for the Yuba Watershed. Created to compute the departure at the site and Subbasin scales.
Raster data for Fire Return Interval (FRI), Fire Return Departure Interval (FRID), and High Mortality Fire Return Interval for the Yuba Watershed.
Download this starter Jupyter Notebook for quick data exploration and visualization. Ideal for users with a local Jupyter setup.
Launch this basic data exploration and visualization notebook directly in Google Colab (no setup required).
by CalFire
This is a geospatial dataset created by the California Department of Forestry and Fire Protection (CAL FIRE) to provide information on forest resources, fire hazard, and carbon storage for the state of California. It provides datasets on forest ownership, forest type, forest density, fire threat, fire history, fire perimeters, fuel rank, biomass, carbon, and climate.
by Salo Sciences
The California Forest Observatory (CFO) is a data-driven forest monitoring system that uses satellite imagery to map the drivers of wildfire hazard. The CFO is a free resource for forest managers and researchers to access data on forest cover, structure, weather, topography, and infrastructure. This data can be used to make informed decisions about forest management and research.
by California Department of Fish and Wildlife
The California Forest Observatory (CFO) is a data-driven forest monitoring system that uses satellite imagery to map the drivers of wildfire hazard. The CFO is a free resource for forest managers and researchers to access data on forest cover, structure, weather, topography, and infrastructure. This data can be used to make informed decisions about forest management and research.
by Oregon Geographic Information Council (OGIC)
The Oregon GEOHub is an online platform that provides access to geospatial data and resources for the state of Oregon. The website allows users to search, view, and download geospatial Framework data and services, metadata, and maps on various topics such as natural resources, environment, transportation, boundaries, imagery, elevation, hydrography, land use, and more. The website also provides a secure portal for public body members to access restricted geospatial data (login required). The website is intended for anyone who is interested in or involved in geospatial-related activities that require or benefit from geospatial data, such as land managers, researchers, policymakers, or the public
by Oregon Department of Forestry
The Oregon Department of Forestry website provides a wide range of forestry data, including forest cover data, forest structure data, and forest disturbance data. The website also includes tools for interacting with the data, such as a map viewer and a data query tool.
by Washington State Department of Natural Resources
The Washington State Department of Natural Resources GIS Open Data provides a wide range of data sets spanning multiple categories, and includes DNR GIS applications.
by US Forest Service
The USDA Forest Service Geodata Clearinghouse is an online collection of digital data related to forest resources. Through the Clearinghouse you can find datasets related to forests and grasslands, including boundaries and ownership, natural resources, roads and trails, as well as datasets related to State and private forested areas, including insect and disease threat and surface water importance. You can also find downloadable map products, raster data, and links to other sources of forest resource information.
by Multi-Resolution Land Characteristics (MRLC) Consortium
The Multi-Resolution Land Characteristics (MRLC) Consortium is a group of federal agencies that produce and provide consistent and relevant land cover information at the national scale. The National Land Cover Database (NLCD) is one of the main products of the MRLC. It provides nationwide data on land cover and land cover change at a 30m resolution with a 16-class legend based on a modified Anderson Level II classification system. You can download NLCD data from the MRLC website or use the MRLC Viewer to explore the data interactively.
by USGS
The National Map is a suite of products and services that provide access to base geospatial information to describe the landscape of the United States and its territories. The National Map embodies 11 primary products and services and numerous applications and ancillary services. The National Map supports data download, digital and print versions of topographic maps, geospatial data services, and online viewing. The geographic information available from The National Map includes boundaries, elevation, geographic names, hydrography, land cover, orthoimagery, structures, and transportation.
by Salo Sciences
CTrees is a non-profit that tracks carbon in every tree on the planet using cloud-based computing, artificial intelligence, satellite technology, and inventory plot data. Their data products help organizations measure, report, and verify the carbon in every tree, everywhere.
by Conservation Biology Institute
Data Basin is an online platform that provides access to thousands of scientific data sets and maps on topics such as biodiversity, climate change, conservation planning, and human well-being. Data Basin allows users to explore, create, share, and collaborate with data and maps.
by Google
Google Earth Engine is a platform that allows users to run geospatial analysis on Google’s cloud infrastructure. It provides access to a multi-petabyte catalog of satellite imagery and geospatial datasets, as well as a web-based code editor and a Python and JavaScript API. Users can use Google Earth Engine to detect changes, map trends, and quantify differences on the Earth’s surface.
by World Resources Institute
This is an interactive online platform that monitors forests worldwide using satellite imagery and other sources. It provides datasets on tree cover loss and gain; land use; fires; carbon emissions; biodiversity; protected areas; commodities; alerts; and more.
by Food and Agriculture Organization of the United Nations
This is a comprehensive assessment of the state of the world’s forests conducted by the Food and Agriculture Organization (FAO) every five years. It provides datasets on forest area; growing stock; biomass; carbon; change processes; disturbances; management practices; ownership; designated functions; policy instruments; employment; wood products production and trade; non-wood products production and value.
by University of Maryland
The Global Land Analysis and Discovery (GLAD) project is a research initiative at the University of Maryland, College Park, that provides open-source geospatial data and tools for monitoring global land cover change. The GLAD project uses satellite imagery to track changes in forest cover, forest structure, and other land cover types.
by Microsoft
Microsoft Planetary Computer is a platform that supports sustainability decision-making with the power of the cloud. It combines a multi-petabyte catalog of global environmental data with intuitive APIs, a flexible scientific environment, and applications that put the data in the hands of conservation stakeholders. Users can use Microsoft Planetary Computer to access and analyze data on topics such as climate change, biodiversity, water, energy, and human development.
by NASA
NASA Earth Observation Data is a collection of data sets and services that provide information about the Earth’s land, atmosphere, ocean, and biosphere. NASA Earth Observation Data includes satellite imagery, climate data, land cover data, and more.
by various partners and contributors
Open Aerial Map is an open service that provides access to a commons of openly licensed aerial imagery and map layer services. Open Aerial Map hosts imagery from satellites and unmanned aerial vehicles (UAVs) from various sources. Users can download or contribute imagery to Open Aerial Map.
by UC San Diego
OpenTopography is an online platform that provides access to high-resolution topography data, tools, and resources for various applications in Earth science, engineering, and education. OpenTopography hosts lidar, radar, and photogrammetry data from different sources and regions, as well as global raster data at various resolutions. Users can explore, download, process, and visualize the data using web-based interfaces or APIs. OpenTopography also offers video tutorials, FAQs, online training, and a tool registry for users to learn more about geospatial data and its uses.
by World Resources Institute
Resource Watchby World Resources InstituteResource Watch is an online platform that provides trusted and timely data for a sustainable future. Resource Watch features hundreds of data sets covering topics such as climate change, biodiversity, water, energy, and human development. Users can explore, visualize, and share data on Resource Watch.
by UC San Diego
WIFIRE is a cyberinfrastructure project that integrates networked observations, data-driven simulation, and visualization to monitor and forecast wildfire behavior. WIFIRE provides tools and services for fire managers, researchers, and the public to access and analyze fire data and models.