Global estimates of burned areas, enabled by the wide-open access to the standard data products from the Moderate Resolution Imaging Spectroradiometer (MODIS), are heavily relied on by scientists and managers studying issues related to wildfire occurrence and its worldwide consequences. While these datasets, particularly the MODIS MCD64A1 product, have fundamentally improved our understanding of wildfire regimes at the global scale, their performance may be less reliable in certain regions due to a series of region- or ecosystem-specific challenges. Previous studies have indicated that global burned area products tend to underestimate the extent of the burned area within some parts of the boreal domain. Despite this, global products are sti...
As a significant source of trace gases and particulate matter to the atmosphere, biomass burning pla...
We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra...
We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra...
Alaska’s boreal region stores large amounts of carbon both in its woodlands and in the grounds...
Alaska’s boreal region stores large amounts of carbon both in its woodlands and in the grounds that ...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
© The Author(s).Alaska’s boreal region stores large amounts of carbon both in its woodlands and in t...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
Alaska’s boreal region stores large amounts of carbon both in its woodlands and in the grounds that ...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
Satellite observations of fire occurrence, extent, and spread have become a routine source of inform...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
As a significant source of trace gases and particulate matter to the atmosphere, biomass burning pla...
We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra...
We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra...
Alaska’s boreal region stores large amounts of carbon both in its woodlands and in the grounds...
Alaska’s boreal region stores large amounts of carbon both in its woodlands and in the grounds that ...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
© The Author(s).Alaska’s boreal region stores large amounts of carbon both in its woodlands and in t...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
Alaska’s boreal region stores large amounts of carbon both in its woodlands and in the grounds that ...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
Satellite observations of fire occurrence, extent, and spread have become a routine source of inform...
An algorithm based on a Bayesian network classifier was adapted to produce 10-day burned area (BA) m...
As a significant source of trace gases and particulate matter to the atmosphere, biomass burning pla...
We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra...
We present a method for estimating monthly burned area globally at 1° spatial resolution using Terra...