Integration of GNSS-R derived soil moisture into the USGS Wildland Fire Potential Index
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Abstract
Observations of soil moisture have been found to improve predictions of fire danger as soil moisture impacts both fuel load and fuel moisture. A relative soil moisture process was developed and integrated into the USGS Wildland Fire Potential Index data products. The process uses soil moisture estimates from the CYGNSS GNSS-R constellation and compares current to historical values which then modifies the fuel moisture term in the WFPI equations. Comparisons of WFPI with the soil moisture enhanced version over known large fire events indicate a potential improvement in predicting large fire probability. The goal of this process is to identify areas prone to large fire activity that can be used to target additional CYGNSS observations to assist with wildfire monitoring.
Suggested Citation
Nelson, K., Roy-SIngh, S., Ravindra, V., Moghaddam, M., Kannan, A., and Melebari, A., 2025, Integration of GNSS-R derived soil moisture into the USGS Wildland Fire Potential Index, IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) 2025, Brisbane, Australia, August 3-8, 2025, p. 3477-3480, https://doi.org/10.1109/IGARSS55030.2025.11242770.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Integration of GNSS-R derived soil moisture into the USGS Wildland Fire Potential Index |
| DOI | 10.1109/IGARSS55030.2025.11242770 |
| Year Published | 2025 |
| Language | English |
| Publisher | IEEE |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 4 p. |
| First page | 3477 |
| Last page | 3480 |
| Conference Title | IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) 2025 |
| Conference Location | Brisbane, Australia |
| Conference Date | August 3-8, 2025 |