BurnPro3D is designed for use in fire mitigation by land managers and burn bosses to prioritize land for treatment, and plan and conduct prescribed burns. The platform is powered by the next generation WIFIRE Data and Model Commons. It provides diverse users a common ground for understanding risks and tradeoffs related to prescribed burns through detailed models of vegetation and fire behavior.

BurnPro3D uses a coupled fire/atmosphere model to capture the interaction between user-defined complex ignition patterns and environmental conditions. With support from the National Science Foundation, the BurnPro3D team is developing emerging AI techniques to transform the characterization of the fire environment, including dynamic site-specific three-dimensional fuels and winds.

BurnPro3D

The California Wildfire & Forest Resilience Task Force — which hosts the California Wildfire and Landscape Interagency Treatment Dashboard — is a state-federal collaborative effort that brings together more than a dozen agencies (federal, state, and private) to coordinate and report wildfire-resilience and landscape-management projects across California. The Dashboard offers an interactive, publicly accessible map of treatments — from forest thinning and prescribed burns to tree planting and grazing — allowing users to sort projects by region, county, land ownership, and more

California Interagency Treatment Tracking System

The California Irrigation Management Information System (CIMIS) is a program managed by the California Department of Water Resources in cooperation with the University of California, Davis. Established in 1982, it provides free, high-quality weather and evapotranspiration data to help farmers, turf managers, and the public maximize water-use efficiency.

California Irrigation Management Information System (CIMIS)

California Landscape Metrics (CLM) is a statewide, interagency-developed geospatial data initiative that consolidates and standardizes key landscape-scale metrics across California. The project brings together data from four former regional “Regional Resource Kits” into a unified suite of mapped data layers designed to support forest and landscape resilience. CLM was developed by a collaboration of scientists from the USDA Forest Service Pacific Southwest Research Station (PSW), CAL FIRE’s Fire and Resource Assessment Program (FRAP), the Climate and Wildfire Institute (CWI), and researchers at several universities such as University of California, Berkeley and University of California, Irvine, among others. The data layers cover a broad range of landscape attributes — from wildfire hazard and fuel loads to habitat suitability, vegetation structure, carbon storage, hydrology, and social-ecological metrics. They are intended to enable land managers, planners, and decision-makers to assess current conditions, plan treatments or restoration actions, and monitor changes over time in order to advance landscape-scale resilience to fire, climate change, and other disturbances.

California Landscape Metrics

The Asháninka Central of the Ene River (CARE) is an Indigenous Political Organization (IPO) that represents 45 Ashanink communities in the Ene River basin. Our territory covers the districts of Río Tambo, Mazamari and Pangoa, in the province of Satipo, department of Junín.
 
For 30 years, we have worked with an unwavering commitment to strengthening territorial governance, promoting sustainable development and upholding the collective rights of our communities. Currently, CARE is not affiliated with any regional or national indigenous organization, developing its activities autonomously and independently. This condition reaffirms our commitment to self-determination, the legitimate representation of our communities and the organizational strengthening of the Ashanink people of the Ene River.

Central Asháninka del Río Ene (CARE)

 Dendra is a platform used to retrieve, store, manage, and curate environmental data from sensor networks.

Dendra facilitates the efficient research and monitoring of our environment through real-time sensor network management, data cleaning and exploration. We support the needs of small research groups, large state agencies, and public accessors. Whether data was logged a minute ago or decades prior, if it has a timestamp, Dendra can retrieve it and graph it.

Like a dendritic network gathering signals, Dendra enables environmental monitors to pull data from the Earth's surface to a single location — all to form a unified understanding of our rapidly changing environment through the free exchange of knowledge. 

Dendra

The High Performance Wireless Research and Education Network (HPWREN), a University of California San Diego partnership project led by the San Diego Supercomputer Center and the Scripps Institution of Oceanography's Institute of Geophysics and Planetary Physics, supports Internet-data applications in the research, education, and public safety realms.


HPWREN functions as a collaborative, Internet-connected cyberinfrastructure. The project supports a high-bandwidth wireless backbone and access data network in San Diego, Riverside, and Imperial counties in areas that are typically not well-served by other technologies to reach the Internet. This includes backbone locations, typically sited on mountain tops, to connect often hard-to-reach areas in the remote Southern California back country.

HPWREN

The mission of the LiDAR monitoring program is to develop efficient methods for monitoring our natural and cultural resources and to provide effective decision-support tools for land managers. This project is a collaborative effort developed with partners from USDA Forest Service, U.S. Fish and Wildlife Service, Bureau of Indian Affairs, National Park Service, U.S. Geological Survey, Universities and the New Mexico Consortium. This multidisciplinary team seeks to integrate LiDAR and modeling techniques to monitor fuels and ecosystems and link fire modeling for land management decision support. The ultimate goal is to standardize monitoring across agencies with uniform language, methods and data analysis. 

IntELiMon: Interagency LiDAR Monitoring & Research Applications

LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture Forest Service and U.S. Department of the Interior, providing landscape scale geo-spatial products to support cross-boundary planning, management, and operations.

LANDFIRE

The Fire Information for Resource Management System (FIRMS) distributes Near Real-Time (NRT) active fire data within 3 hours of satellite observation from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua and Terra satellites, and the Visible Infrared Imaging Radiometer Suite (VIIRS) aboard S-NPP and NOAA 20 (formally known as JPSS-1).

NASA FIRMS

From the earliest days of exploration, to the first steps on the Moon and the missions shaping our future, NASA represents the spirit of discovery that defines our nation. As the United States approaches its semiquincentennial, Freedom 250 highlights how innovation, courage, and scientific leadership have carried America forward — and how NASA continues to expand the frontier for the next generation.

National Aeronautics and Space Administration (NASA)

The National Agriculture Imagery Program (NAIP) GeoHub site provides a place for users to search, discover, and visualize NAIP imagery. 
 
The NAIP imagery program acquires aerial imagery during the agricultural growing seasons in the United States.  A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition.

NAIP is administered through the USDA's Farm Production and Conservation Business Center (FPAC-BC) Geospatial Enterprise Operations (GEO) Branch.  This "leaf-on" imagery is used as a base layer for GIS programs in the Farm Service Agency's County Service Centers, and is used to maintain the Common Land Unit (CLU) boundaries.

National Agriculture Imagery Program (NAIP)

Created by admin when creating a new dataset

Not Affiliated

ODIN-fire stands for "Open Data Integration framework for wildland fire mitigation". We are an open source software project that is aimed at creating information systems to combat natural disasters and our initial focus is on improving situational awareness in the context of wildfires.

ODIN-fire supports creating servers that import a wide range of geospatial data such as weather, fuel and fire sensor reports in near realtime and visualize this data on a 3D virtual globe in a browser. ODIN-fire is not a website. It is a library to create task- and location specific web applications. ODIN-fire servers can run in the cloud, on stakeholder premises or even out in the field.

ODIN-fire is open sourced under Apache v2 license and available on github. The code is written in Rust and Javascript. ODIN-fire has been under development since 2022. 

ODIN-fire Project

OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources.  https://opentopography.org/

OpenTopography

Planscape is an open–science collaboration of the California Natural Resources Agency, the USDA Forest Service, The California Wildfire & Forest Resilience Taskforce, University of California, Google.org and Spatial Informatics Group. No commercial entity owns or profits from Planscape. We welcome new collaborators and would love to hear from anyone who wants to get involved.

Planscape

PyreCast is the next-generation wildfire forecasting platform designed to help utilities, emergency managers, and communities stay ahead of rapidly evolving fire risk.

Built on transparent, peer-reviewed science and a public-mission-driven ethos, PyreCast delivers predictive, actionable insights through state-of-the-art fire behavior models, ignition forecasts, and real-time fuel and weather data.
Whether you’re planning for public safety power shutoffs, coordinating emergency response, or tracking emerging threats across the landscape, PyreCast empowers informed, risk-based decisions when every moment matters.

Pyrecast

The Python Package Index (PyPI) is a repository of software for the Python programming language. PyPI helps you find and install software developed and shared by the Python community. Package authors use PyPI to distribute their software.


Python Package Index (PyPI)

SDG&E

USDA

The United States Forest Service (USFS) is an agency of the U.S. Department of Agriculture that administers the nation's 154 national forests and 20 national grasslands.

USDA Forest Service

Created by an act of Congress in 1879, the USGS provides science for a changing world, which reflects and responds to society’s continuously evolving needs. As the science arm of the Department of the Interior, the USGS brings an array of earth, water, biological, and mapping data and expertise to bear in support of decision-making on environmental, resource, and public safety issues.

USGS

The goal of the 3D Elevation Program (3DEP) is to complete nationwide data acquisition in 8 years, by 2023, to provide the first-ever national baseline of consistent high-resolution three-dimensional data—including bare earth elevations and three-dimensional point clouds—collected in a timeframe of less than a decade. The 3d elevation program is managed by the US. Geological Survey (USGS) national geospatial program to respond to growing needs for high-quality topographic data and for a wide range of other three-dimensional (3d) representations of the nation's natural and constructed features.

USGS-3dep

The SERDP Wildland Fire Science Initiative (WFSI) data platform to manages the end-to-end data management lifecycle for selected WFSI datasets. This includes data integration, harmonization, curation, publication, and access, to enable end-use fire modeling and analysis scenarios.



WFSI

WIFIRE

This synthetic data was designed for an exercise around the risk of wildland fire being carried by vegetation into the wildland-urban interface and intermix, and into the built environment impacting people and infrastructure.

Wildfire Risk Modeling Exercise

WRI works to improve people’s lives, protect and restore nature, and stabilize the climate. As an independent research organization, we leverage our data, expertise and global reach to influence policy and catalyze change across systems like food, land and water; energy; and cities.

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