Wildfire Resilience

Planning for Fire-Adapted Futures

Science-based strategies For risk reduction, recovery, and resilience.

Wildfire hot planet

As wildfires grow more frequent and severe worldwide, they are reshaping landscapes, threatening lives and livelihoods, and overwhelming conventional risk-management approaches. SIG-NAL’s Wildfire Resilience Program advances innovations for fire-adapted futures, from local communities to international initiatives. By integrating cutting-edge analytics and collaborative planning, we help communities and land managers prepare for, respond to, and recover from wildfire.

How

We Do It

Methodology

We promote fire-adapted landscapes through science-based planning, AI-enabled analytics, remote sensing, and collaborative decision-making. Our process helps communities and land managers anticipate risk, prepare for wildfire, and respond effectively as conditions change.

Geospatial Analysis
Geospatial Analysis
Nature-based Solutions
Nature-based Solutions
Adaptive Management
Adaptive Management
Cross-sector Collaboration
Cross-sector Collaboration
Capacity Building
Capacity Building

Expertise

We bring cross-disciplinary expertise to develop wildfire planning, analytics, and tool development to support long-term resilience.

Wildfire Risk Assessment
Wildfire Risk Assessment
Landscape-scale Planning
Landscape-scale Planning
AI Applications
AI Applications
Decision-support Platforms
Decision-support Platforms
Collaborative Governance
Collaborative Governance

Initiatives

Wildfire Resilience work

AI Collaborative: Wildfires

AI Collaborative: Wildfires

The AI Collaborative: Wildfires (AIC:W) is a global, cross-sector initiative launched by Google.org to harness artificial intelligence for transformational wildfire preparedness, detection, and risk reduction. It involves coordinated funding and partnership with more than 15 leading nonprofits, academic institutions, government agencies, and technology organizations.

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Planscape

Planscape

Planscape is an open-science decision-support platform for wildfire resilience planning. Built on best-available science—including the USDA Forest Service’s ForSys model, Forest Vegetation Simulator

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KaiGeoCon wildfire resilience

KaiGeoCon

KaiGeoCon is an initiative selected as one of 12 finalists by Conservation X Labs for its potential to transform how communities prepare for and manage wildfire risk.

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