Although it is assumed that satellite-derived descriptions of fire activity will differ depending on the dataset selected for analysis, as of yet, the effects of failed and false detections at the pixel level and on an instantaneous basis have not been propagated through space and time to determine their cumulative impact on the characterization of individual fire regime parameters. Here we perform the first ever decade long, multi-scale map comparison of fire chronologies and fire seasonality derived from three publicly available satellite-based fire products: the MODIS active fire product (MCD14ML), the ATSR nighttime World Fire Atlas (WFA), and the MODIS burned area product (MCD45A1). Results indicate that: (i) the agreement between fire...
Characterizing changes in landscape fire activity at better than hourly temporal resolution is achie...
Characterising the dynamics of landscape-scale wildfires at very high temporal resolutions is best a...
Detailed spatial-temporal characterization of individual fire dynamics using remote sensing data is ...
Statistically Determined Global Fire Regimes (GFRs) Empirically Characterized Using Historical MODIS...
We explore the ability to enhance landscape fire detection and characterization by constructing a ‘v...
Fires in croplands, plantations, and rangelands contribute significantly to fire emissions in the Un...
Satellite-based remote sensing of active fires is the only practical way to consistently and continu...
This study uses data from AQUA/TERRA MODIS, SUOMI-NPP VIIRS, MSG SEVIRI (covering Europe, South Amer...
African landscape fires are widespread, recurrent and temporally dynamic. They burn large areas of t...
Abstract. High temporal resolution information on burnt area is needed to improve fire behaviour and...
Accurate near real time fire emissions estimates are required for air quality forecasts. To date, mo...
African landscape fires are widespread, recurrent and temporally dynamic. They burn large areas of t...
The remote sensing of Earth surface changes is an active research field aimed at the development of ...
Long term, high quality estimates of burned area are needed for improving both prognostic and diagno...
Detailed spatial-temporal characterization of individual fire dynamics using remote sensing data is ...
Characterizing changes in landscape fire activity at better than hourly temporal resolution is achie...
Characterising the dynamics of landscape-scale wildfires at very high temporal resolutions is best a...
Detailed spatial-temporal characterization of individual fire dynamics using remote sensing data is ...
Statistically Determined Global Fire Regimes (GFRs) Empirically Characterized Using Historical MODIS...
We explore the ability to enhance landscape fire detection and characterization by constructing a ‘v...
Fires in croplands, plantations, and rangelands contribute significantly to fire emissions in the Un...
Satellite-based remote sensing of active fires is the only practical way to consistently and continu...
This study uses data from AQUA/TERRA MODIS, SUOMI-NPP VIIRS, MSG SEVIRI (covering Europe, South Amer...
African landscape fires are widespread, recurrent and temporally dynamic. They burn large areas of t...
Abstract. High temporal resolution information on burnt area is needed to improve fire behaviour and...
Accurate near real time fire emissions estimates are required for air quality forecasts. To date, mo...
African landscape fires are widespread, recurrent and temporally dynamic. They burn large areas of t...
The remote sensing of Earth surface changes is an active research field aimed at the development of ...
Long term, high quality estimates of burned area are needed for improving both prognostic and diagno...
Detailed spatial-temporal characterization of individual fire dynamics using remote sensing data is ...
Characterizing changes in landscape fire activity at better than hourly temporal resolution is achie...
Characterising the dynamics of landscape-scale wildfires at very high temporal resolutions is best a...
Detailed spatial-temporal characterization of individual fire dynamics using remote sensing data is ...