Spatiotemporal analysis of wildfire severity in California, United States via satellite imagery and in-situ data, 2000–2023

• Spatiotemporal wildfire assessment (2000–2023) integrating satellite and in-situ data. • Advanced CEEMD + TDIC reveal nonlinear wildfire–climate dynamics across timescales. • Novel IDF curves quantify wildfire intensity–duration–frequency characteristics. • Regional divergence: severity rising statewide despite declining occurrence in some zones. • Temperature & VPD amplify, while soil moisture & rainfall suppress, wildfire activity. California experiences hundreds of wildfires each year, posing increasing risks to ecosystems and communities. This study investigates how hydrometeorological drivers influence wildfire occurrence and severity across four ecological zones from 2000 to 2023, using satellite imagery and in situ data. Complementary Ensemble Empirical Mode Decomposition (CEEMD), Pseudo–Tri-Dimensional CEEMD, and Time-Dependent Intrinsic Correlation (TDIC) were applied to decompose short- and long-term variability, and Intensity–Duration–Frequency (IDF) curves were utilized to characterize event intensity and duration. Results show that wildfire severity has increased statewide even as occurrence rates diverged regionally. In the Sierra, the number of fires declined by approximately 25 %, yet the average daily burned area doubled, indicating fewer but more destructive events. In the North Coast, fire frequency decreased after 2010, but severity continued to rise, while the Central and South Coasts experienced more frequent ignitions that peaked around 2018. TDIC-based analysis revealed that wildfire occurrence decreases sharply with higher precipitation (≈ −0.7) and soil moisture (≈ −0.8), while hot and dry conditions strongly amplify fire activity, with temperature (≈ +0.8) and vapor pressure deficit (VPD; ≈ +0.6) emerging as dominant drivers. Vegetation greenness, measured by the Normalized Difference Vegetation Index (NDVI), exerted contrasting effects: in the Sierra, dense summer biomass fueled larger fires once dried (+0.7), whereas in the South Coast, senescent grasses supported more ignitions (−0.8). IDF analysis further demonstrated that two- to five-day events often reached daily intensities exceeding 500,000 ha, while longer events accumulated greater total burned areas despite lower daily rates. These findings provide quantitative evidence that wildfire–climate interactions in California are region-specific and increasingly shaped by hotter, drier conditions, underscoring the need for adaptive fire management tailored to both short-term extremes and long-term fuel dynamics.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2025-11-15
DOI
https://doi.org/10.1016/j.jag.2025.104891
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal analysis of wildfire severity in California, United States via satellite imagery and in-situ data, 2000–2023

Serena Y. Hung, Christina W. Tsai, Shiv Mohan, Jasmin Y. Tung et al.
International Journal of Applied Earth Observation and Geoinformation
Fire effects on ecosystems
article

Spatiotemporal analysis of wildfire severity in California, United States via satellite imagery and in-situ data, 2000–2023

Serena Y. Hung, Christina W. Tsai, Shiv Mohan, Jasmin Y. Tung, Raegeane Hastanjaya
article en

Abstract

• Spatiotemporal wildfire assessment (2000–2023) integrating satellite and in-situ data. • Advanced CEEMD + TDIC reveal nonlinear wildfire–climate dynamics across timescales. • Novel IDF curves quantify wildfire intensity–duration–frequency characteristics. • Regional divergence: severity rising statewide despite declining occurrence in some zones. • Temperature & VPD amplify, while soil moisture & rainfall suppress, wildfire activity. California experiences hundreds of wildfires each year, posing increasing risks to ecosystems and communities. This study investigates how hydrometeorological drivers influence wildfire occurrence and severity across four ecological zones from 2000 to 2023, using satellite imagery and in situ data. Complementary Ensemble Empirical Mode Decomposition (CEEMD), Pseudo–Tri-Dimensional CEEMD, and Time-Dependent Intrinsic Correlation (TDIC) were applied to decompose short- and long-term variability, and Intensity–Duration–Frequency (IDF) curves were utilized to characterize event intensity and duration. Results show that wildfire severity has increased statewide even as occurrence rates diverged regionally. In the Sierra, the number of fires declined by approximately 25 %, yet the average daily burned area doubled, indicating fewer but more destructive events. In the North Coast, fire frequency decreased after 2010, but severity continued to rise, while the Central and South Coasts experienced more frequent ignitions that peaked around 2018. TDIC-based analysis revealed that wildfire occurrence decreases sharply with higher precipitation (≈ −0.7) and soil moisture (≈ −0.8), while hot and dry conditions strongly amplify fire activity, with temperature (≈ +0.8) and vapor pressure deficit (VPD; ≈ +0.6) emerging as dominant drivers. Vegetation greenness, measured by the Normalized Difference Vegetation Index (NDVI), exerted contrasting effects: in the Sierra, dense summer biomass fueled larger fires once dried (+0.7), whereas in the South Coast, senescent grasses supported more ignitions (−0.8). IDF analysis further demonstrated that two- to five-day events often reached daily intensities exceeding 500,000 ha, while longer events accumulated greater total burned areas despite lower daily rates. These findings provide quantitative evidence that wildfire–climate interactions in California are region-specific and increasingly shaped by hotter, drier conditions, underscoring the need for adaptive fire management tailored to both short-term extremes and long-term fuel dynamics.

International Journal of Applied Earth Observation and GeoinformationVol. 145
National Taiwan University (TW)
Openalex Percentile: Top 68%
Fire effects on ecosystems
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.