Datasets
GOFER
GOES-Observed Fire Event Representation
The GOFER algorithm uses geostationary active fire observations from GOES-East and GOES-West (2 km at the equator) to map the hourly spatio-temporal evolution of large wildfires. Previous efforts in fire event tracking mainly relied on 12-hourly observations from VIIRS or MODIS, sensors aboard low-earth-orbit satellites. Critically, GOFER resolves the diurnal cycle of fire growth and periods of extreme fire growth. The GOFER product currently includes hourly perimeters, active fire lines, and fire spread rates for 28 wildfires over 50,000 acres from 2019-2021 in California. For all of our fire tracking datasets, please visit the UCI and NASA EIS websites.
Comparison of the 2020 Creek Fire progression from GOES-Observed Fire Event Representation (GOFER: hourly, 2-km active fires) and Fire Event Data Suite (FEDS: 12-hourly, 375-m active fires). The final perimeters from GOFER and FEDS are compared to the high-resolution final perimeter from CAL FIRE's Fire and Resource Assessment Program (FRAP).
SAGE-IGP
Survey Constraints on FRP-based AGricultural Fire Emissions in the Indo-Gangetic Plain
The GOFER algorithm uses geostationary active fire observations from GOES-East and GOES-West (2 km at the equator) to map the hourly spatio-temporal evolution of large wildfires. Previous efforts in fire event tracking mainly relied on 12-hourly observations from VIIRS or MODIS, sensors aboard low-earth-orbit satellites. Critically, GOFER resolves the diurnal cycle of fire growth and periods of extreme fire growth. The GOFER product currently includes hourly perimeters, active fire lines, and fire spread rates for 28 wildfires over 50,000 acres from 2019-2021 in California. For all of our fire tracking datasets, please visit the UCI and NASA EIS websites.
Dry matter burned from post-monsoon agricultural fires, averaged across 2003-2018, in north India from the SAGE-IGP fire emissions inventory.