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RESEARCH ARTICLE (Open Access)
Contents Vol 33(6)

Remote sensing applications for prescribed burn research

Anna LoPresti https://orcid.org/0000-0003-4801-1529 A * , Meghan T. Hayden https://orcid.org/0000-0003-2929-1078 A , Katherine Siegel https://orcid.org/0000-0001-6294-2130 A B , Benjamin Poulter https://orcid.org/0000-0002-9493-8600 C , E. Natasha Stavros https://orcid.org/0000-0001-6657-7310 D and Laura E. Dee https://orcid.org/0000-0003-0471-1371 A
+ Author Affiliations
- Author Affiliations

A Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309, USA.

B Cooperative Programs for the Advancement of Earth System Science, University Corporation for Atmospheric Research, Boulder, CO 80309, USA.

C NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD 20771, USA.

D WKID Solutions LLC, 4001 Discovery Drive, Boulder, CO 80303, USA.

* Correspondence to: Anna.Lopresti@colorado.edu

International Journal of Wildland Fire 33, WF23130 https://doi.org/10.1071/WF23130
Submitted: 17 August 2023  Accepted: 3 May 2024  Published: 24 May 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Prescribed burning is a key management strategy within fire-adapted systems, and improved monitoring approaches are needed to evaluate its effectiveness in achieving social-ecological outcomes. Remote sensing provides opportunities to analyse the impacts of prescribed burning, yet a comprehensive understanding of the applications of remote sensing for prescribed burn research is lacking. We conduct a literature review of 120 peer-reviewed publications to synthesise the research aims, methodologies, limitations and future directions of remote sensing for the analysis of prescribed fire. Studies evaluating management outcomes found prescribed burning effective for wildfire risk reduction, yet few analysed co-benefits or trade-offs with other management goals. Most studies use passive, spaceborne, low spatial resolution sensors, characterised in the literature as consistent and accessible data sources but limited in detecting small, low-severity and short-duration fires characteristic of prescribed burns. In contrast, active remote sensing approaches including LiDAR are less frequently employed, but show promise for highly accurate, spatially explicit 3D vegetation and fuel load mapping. Remote sensing advances toward higher spatial resolution, more frequent revisit, denser spectral sampling and more data across the electromagnetic spectrum are critical to advancing prescribed fire research, addressing current methodological gaps, and improving fuels and fire management capacity.

Keywords: burnt area mapping, controlled burning, Earth observation, fire detection, fire ecology, fuels reduction, LiDAR, prescribed fire, satellite imagery, wildfire management.

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