Meteorological Technology International
  • News
    • A-E
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
    • G-P
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
    • R-S
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
    • T-Z
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    • April 2025
    • January 2025
    • September 2024
    • April 2024
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
LinkedIn Twitter Facebook
  • Sign-up for Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
LinkedIn Facebook
Subscribe
Meteorological Technology International
  • News
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    1. April 2025
    2. January 2025
    3. September 2024
    4. April 2024
    5. January 2024
    6. September 2023
    7. April 2023
    8. Archive Issues
    9. Subscribe Free!
    Featured
    April 15, 2025

    In this Issue – April 2025

    By Web TeamApril 15, 2025
    Recent

    In this Issue – April 2025

    April 15, 2025

    In this Issue – January 2025

    December 13, 2024

    In this Issue – September 2024

    August 8, 2024
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International
Extreme Weather

NASA’s spaceborne lidar increases predictability of wildland fires

Elizabeth BakerBy Elizabeth BakerFebruary 11, 20253 Mins Read
Share LinkedIn Facebook Twitter Email
Recent research from Northern Arizona University (NAU) used NASA’s spaceborne lidar to discover that ladder fuels – which are shrubs, small trees and lower branches – may be the most important factor in predicting wildfire severity even in extreme conditions.
The aftereffects of the Slater Fire, which burned in northern California in 2020
Share
LinkedIn Facebook Twitter Email

Researchers from Northern Arizona University (NAU) have used NASA’s spaceborne lidar to discover that ladder fuels – which are shrubs, small trees and lower branches – may be the most important factor in predicting wildfire severity even in extreme conditions. Further, management efforts that focus on ladder fuels can help reduce the size and severity of wildfires in the US Southwest no matter what the weather is doing.

Chris Hakkenberg, an assistant research professor in the School of Informatics, Computing and Cyber Systems (SICCS) at NAU, was the lead author of the study. He collaborated with researchers in California as well as senior research scientist Patrick Burns and and Regents professor Scott Goetz, both at NAU.

NASA’s Global Ecosystem Dynamics Investigation lidar

NASA’s spaceborne lidar Global Ecosystem Dynamics Investigation (GEDI) was used in the study to characterize pre-fire fuel for 42 large California fires from 2019-2021. According to the researchers, it was uniquely able to peer into forests, providing consistent data on fuel structure for large areas and over multiple years. With this data, the team was able to determine that, among all measures of forest fuel – such as canopy height or volume – the presence of ladder fuels was the single most consistent determinant of high-severity fire. Likewise, fewer ladder fuels were associated with reduced burn severity.

The researchers highlight that, as a result of this discovery, land and fire managers can use satellite data on weather and fuels well before a fire to find out which areas are at greatest risk and how to reduce that risk by working with managers on the ground to implement pre-fire ladder fuel treatments and guide suppression efforts.

Limitations and future implications

However, the team underlines that ladder fuels were an exception to the rule and that forest fuels are usually not a great predictor of severity, especially when extreme weather is part of the equation.

“This research uses large-scale satellite data to show that if fire weather is extreme and there’s ignition, let’s say from burning embers blown by the wind, a fire is more likely to result in a high severity burn due to factors like low humidity and wind speed versus the sheer fuel volumes,” commented Hakkenberg.

“That said, we were surprised to find a critical exception to this trend – specifically with ladder fuels. Put simply, even in extreme weather conditions, forests with fewer ladder fuels tended to experience less severe fires.”

Overall, the scientists concluded that the need to develop ways to adapt to a new climate normal across landscapes with historically dense forest fuels is great, but focusing management on ladder fuels is one promising approach.

“While wildfires are a natural component of Western USA fire-adapted ecosystems, this trend from mixed-severity toward large, high-severity fires has resulted in wildfire regimes that are more destructive to forest ecosystems and more dangerous to human communities,” Hakkenberg added. “These high-severity fires also run the risk of altering our forestlands to a new normal – converting them to shrub or grasslands where trees are unable to establish due to high-intensity fire’s impact on microclimate, soil conditions and the seed bank.”

In related news, NASA recently awarded a two-year, US$1.23m grant to a team led by Penn State College of Information Sciences and Technology (IST) to improve atmosphere and ocean forecasts by incorporating artificial intelligence (AI) and satellite data into current forecasting models. Click here to read the full story.

Previous ArticleNOAA partners with Brightband to make observational data AI-ready
Next Article MIT develops spatial validation technique to increase forecast accuracy

Read Similar Stories

Hydrology

Integrated model improves flood risk assessment in China

May 15, 20253 Mins Read
Climate Measurement

WMO releases State of the Climate in Africa 2024 report

May 12, 20255 Mins Read
Early Warning Systems

ACMAD develops early warning system strategy

May 2, 20252 Mins Read
Latest News

Integrated model improves flood risk assessment in China

May 15, 2025

EXCLUSIVE INTERVIEW: Ramla Qureshi, McMaster University’s Department of Civil Engineering

May 14, 2025

Tianjin University AI model turns street cameras into rainfall sensors

May 14, 2025

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • ROTRONIC AG
Latest Job Postings
  • Researcher/Engineer to support data-based weather forecasting (R2/RE2)

    • Barcelona
    • Barcelona Supercomputing Center - Centro Nacional de Supercomputación
    • Full Time
Getting in Touch
  • Contact Us / Advertise
  • Meet the Editors
  • Download Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Cookie Policy
  • Privacy Policy
  • Terms and Conditions
  • Notice and Takedown Policy

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the ...
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

SAVE & ACCEPT
Powered by