Javascript must be enabled to continue!
Global estimation of burned area using MODIS active fire observations
View through CrossRef
Abstract. We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra MODIS data and ancillary vegetation cover information. Using regression trees constructed for 14 different global regions, MODIS active fire observations were calibrated to ''true'' burned area estimates derived from 500-m MODIS imagery based on the conventional assumption that burned area is proportional to counts of fire pixels. Unlike earlier methods, we allow the constant of proportionality to vary as a function of tree and herbaceous vegetation cover, and the mean size of monthly cumulative fire-pixel clusters. In areas undergoing active deforestation, we implemented a subsequent correction based on tree cover information and a simple measure of fire persistence. Regions showing good agreement between predicted and observed burned area included Boreal Asia, Central Asia, Europe, and Temperate North America, where the estimates produced by the regression trees were relatively accurate and precise. Poorest agreement was found for southern-hemisphere South America, where predicted values of burned area are both inaccurate and imprecise; this is most likely a consequence of multiple factors that include extremely persistent cloud cover, and degradation of the quality of the 500-m burned area maps used for calibration. Application of our approach to the nine remaining regions yielded comparatively accurate, but less precise, estimates of monthly burned area. We applied the regional regression trees to the entire archive of Terra MODIS fire data to produce a monthly global burned area data set spanning late 2000 through mid-2005. Annual totals derived from this approach showed good agreement with independent annual estimates available for nine Canadian provinces, the United States, and Russia. With our data set we estimate the global annual burned area for the years 2001–2004 to vary between 2.97 million and 3.74 million km2, with the maximum occurring in 2001. These coarse-resolution burned area estimates may serve as a useful interim product until long-term burned area data sets become available.
Title: Global estimation of burned area using MODIS active fire observations
Description:
Abstract.
We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra MODIS data and ancillary vegetation cover information.
Using regression trees constructed for 14 different global regions, MODIS active fire observations were calibrated to ''true'' burned area estimates derived from 500-m MODIS imagery based on the conventional assumption that burned area is proportional to counts of fire pixels.
Unlike earlier methods, we allow the constant of proportionality to vary as a function of tree and herbaceous vegetation cover, and the mean size of monthly cumulative fire-pixel clusters.
In areas undergoing active deforestation, we implemented a subsequent correction based on tree cover information and a simple measure of fire persistence.
Regions showing good agreement between predicted and observed burned area included Boreal Asia, Central Asia, Europe, and Temperate North America, where the estimates produced by the regression trees were relatively accurate and precise.
Poorest agreement was found for southern-hemisphere South America, where predicted values of burned area are both inaccurate and imprecise; this is most likely a consequence of multiple factors that include extremely persistent cloud cover, and degradation of the quality of the 500-m burned area maps used for calibration.
Application of our approach to the nine remaining regions yielded comparatively accurate, but less precise, estimates of monthly burned area.
We applied the regional regression trees to the entire archive of Terra MODIS fire data to produce a monthly global burned area data set spanning late 2000 through mid-2005.
Annual totals derived from this approach showed good agreement with independent annual estimates available for nine Canadian provinces, the United States, and Russia.
With our data set we estimate the global annual burned area for the years 2001–2004 to vary between 2.
97 million and 3.
74 million km2, with the maximum occurring in 2001.
These coarse-resolution burned area estimates may serve as a useful interim product until long-term burned area data sets become available.
Related Results
Validation and empirical correction of MODIS AOTand AE over ocean
Validation and empirical correction of MODIS AOTand AE over ocean
Abstract. We present a validation study of Coll. 5 MODIS level 2 Aqua and Terra AOT and AE over ocean by comparison to coastal and island AERONET sites for the years 2003–2009. We ...
Spring fires in Russia: results from participatory burned area mapping with Sentinel-2 imagery
Spring fires in Russia: results from participatory burned area mapping with Sentinel-2 imagery
Abstract
Human-induced fires play a crucial role in transforming landscapes and contributing to greenhouse gas emissions. Russia is a country where human-induced fir...
Validation of Multiple Satellite Aerosol Optical Depth (AOD) Retrievals Using Ground-Based AERONET AOD Data over West Africa
Validation of Multiple Satellite Aerosol Optical Depth (AOD) Retrievals Using Ground-Based AERONET AOD Data over West Africa
Aerosol Optical Depth (AOD) is an essential parameter for understanding atmospheric aerosol distribution and its impact on climate and air quality. Satellite-based AOD retrievals p...
Near real-time detecting of wildfire using MODIS and NOAA/AVHRR data
Near real-time detecting of wildfire using MODIS and NOAA/AVHRR data
AbstractForest fire in recent years has given much attention to climate change and ecosystem. Detection of fire in Near real time is necessary to prevent large-scale casualties. Re...
Effects of forest fire on ant diversity in the dry dipterocarp forest, Lai Nan Subdistrict, Wiang Sa District, Nan Province
Effects of forest fire on ant diversity in the dry dipterocarp forest, Lai Nan Subdistrict, Wiang Sa District, Nan Province
Forest fire can have direct impacts on various organisms. Dipterocarp forests in Nan province have been consistently burned. However, the effects of the burning on ant diversity we...
Anthropogenic and Lightning Fire Incidence and Burned Area in Europe
Anthropogenic and Lightning Fire Incidence and Burned Area in Europe
Fires can have an anthropogenic or natural origin. The most frequent natural fire cause is lightning. Since anthropogenic and lightning fires have different climatic and socio-econ...
A daily burned area mapping method using AVHRR time-series data
A daily burned area mapping method using AVHRR time-series data
<p>The study of complex interactions between fire and atmospheric dynamics of the earth system is drawing increasing attention in recent years, especially when fire s...
Peatland fire regime across Riau peat hydrological unit, Indonesia
Peatland fire regime across Riau peat hydrological unit, Indonesia
Peatland stretches across approximately 8% of Indonesia’s land area. Peat fire disturbance, which affects the carbon dynamics of the ecosystem, will determine the country's vision ...

