2025/10/17 by Ayonna Dasgupta, Xianjun Hao, Qu, John J.
paper · doi:10.13021/jssr2024.4224
The recent increase in wildfires in California calls for studies aimed at understanding the impacts of climate change on fire risks in this region. In this study we used monthly Terra MODIS 0.05-degree Climate-Modeling-Grid datasets for NDVI and LST to compute pre-fire-season (June) Fire-Risk Index maps over the California region for the years 2001, 2021, and 2022. The computation of the Fire-Risk Index used a formula established in past studies. In order to understand the change in fire risk over the last two decades we compared the 2021 and 2022 pre-fire-season Fire Risk maps to the corresponding 2001 Fire Risk map. The method involved using 50th, 75th, 90th, and 95th percentiles from the June 2001 Fire Risk data distribution to create Fire Risk category maps for all three years with the following risk classes: Very-Low, Low, Medium, High, and Very-High. Analysis showed a 74.4% and 27.2% increase in area under the Very-High Risk category, 96.7% and 44.1% increase in area under the High Risk category, and 39% and 5.7% increase in area under the Medium Risk category along with corresponding decreases in area under Low and Very-Low Risk categories for the years 2021 and 2022 respectively when compared to 2001. Our results suggest a phenomenon of conversion of lower fire risk areas to higher fire risk areas over the last two decades. However, more data-intensive studies are required to conclusively establish any such phenomenon and link it to climate change.