Assessing multitemporal airborne laser scanning data and satellite-derived active fire observations for estimating structural change and biomass consumption in forests affected by compound disturbances

Background Multitemporal airborne laser scanning (ALS) data provide an avenue to quantify three-dimensional changes in forest structure, but fire-affected areas with both pre- and post-fire ALS data are rare. Satellite-derived active fire products provide a potential alternative dataset that could be used to estimate changes in forest structure and biomass given fire radiative energy (FRE) is proportional to the biomass consumption. Aims We assessed the ability of pre- and post-fire ALS and active fire observations to characterize fire-induced forest structure changes. Methods ALS data and FRE derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra and Aqua satellites were used to quantify fire-induced forest structural changes across a fire in central Oregon, US. Key results Significant reductions in ALS-derived canopy density and canopy volume were observed over most of the fire extent and were positively related to FRE. Areas with greater mountain pine beetle tree mortality prior to the fire had greater FRE and canopy volume loss than unaffected areas. Conclusions Results demonstrate the potential of both multitemporal ALS and FRE for assessing forest structure change and canopy consumption. Implications Active fire products may be useful for estimating structure change in fire affected areas where multitemporal ALS data are not available.

Authors

Institutions

Publication Details

Journal
International Journal of Wildland Fire
Published
2026-10-06
DOI
https://doi.org/10.1071/wf26075
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing multitemporal airborne laser scanning data and satellite-derived active fire observations for estimating structural change and biomass consumption in forests affected by compound disturbances

Aaron M. Sparks, Alistair M. S. Smith, Luigi Boschetti, David P. Roy et al.
International Journal of Wildland Fire
Remote Sensing and LiDAR Applications
article

Assessing multitemporal airborne laser scanning data and satellite-derived active fire observations for estimating structural change and biomass consumption in forests affected by compound disturbances

Aaron M. Sparks, Alistair M. S. Smith, Luigi Boschetti, David P. Roy, T. Ryan McCarley, Andrew Thomas Hudak, Crystal A. Kolden
article en

Abstract

Background Multitemporal airborne laser scanning (ALS) data provide an avenue to quantify three-dimensional changes in forest structure, but fire-affected areas with both pre- and post-fire ALS data are rare. Satellite-derived active fire products provide a potential alternative dataset that could be used to estimate changes in forest structure and biomass given fire radiative energy (FRE) is proportional to the biomass consumption. Aims We assessed the ability of pre- and post-fire ALS and active fire observations to characterize fire-induced forest structure changes. Methods ALS data and FRE derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra and Aqua satellites were used to quantify fire-induced forest structural changes across a fire in central Oregon, US. Key results Significant reductions in ALS-derived canopy density and canopy volume were observed over most of the fire extent and were positively related to FRE. Areas with greater mountain pine beetle tree mortality prior to the fire had greater FRE and canopy volume loss than unaffected areas. Conclusions Results demonstrate the potential of both multitemporal ALS and FRE for assessing forest structure change and canopy consumption. Implications Active fire products may be useful for estimating structure change in fire affected areas where multitemporal ALS data are not available.

International Journal of Wildland FireVol. 35(10)
University of Idaho (US), University of California, Merced (US), CRC for Spatial information (AU), Department of Chemistry and Earth Sciences (BY), Rocky Mountain Research Station (US), Institute for Complex Systems (IT), Rocky Mountain Research (United States) (US), Research Institute of Forests and Rangelands (IR)
Openalex Percentile: Top 19%
Remote Sensing and LiDAR Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.