a burned area product (Roy et al.,

a burned area product (Roy et al., 2005a), however, the multiyear
record has not yet become available to the public.
Other examples of global burned area mapping activities
include GBA2000 (Tansey et al., 2004) and GLOBSCAR
(Simon et al., 2004). Both products mapped the extent of burned
area globally for the year 2000 using SPOT-Vegetation
(GBA2000) and ATSR-2 (GLOBSCAR) data, respectively.
Unlike global active fire detection algorithms, these global
burned area products take into account regional specifics to
some degree. The GLOBSCAR processing mechanism involves
identification of a “burnable zone” through application of a
vegetation map. GBA2000 presents a combination of a series of
regional burned area products developed through regional
burned area algorithms. These algorithms are applied at
continental and comparable scales covering various landcover
types and biomes and therefore are insensitive to ecosystem
level specifics of vegetative cover or fire behavior. The MODIS
Burned Area product is based on BRDF models which are
driven by vegetation type and therefore are more sensitive to
spatial change of vegetative cover. However, the BRDF models
do not account for regional variability of fire occurrence and
behavior which makes it difficult to differentiate between
change due to burning and change caused by other reasons.
Numerous regional burned area mapping activities were also
undertaken using SPOT-Vegetation (Brivio et al., 2003; Egorov
et al., 2004; Gerard et al., 2003; Zhang et al., 2003) and AVHRR
(Sukhinin et al., 2004) data. The majority of these regional
products are hard-coded to the specifics of a given biome (e.g.
boreal forest) and their mapping accuracy drops dramatically
outside the intended area. The approach presented by Zhang
et al. (2003) has more flexibility to account for temporal changes
in surface reflectance over various regions of the electromagnetic
(EM) spectrum as a function of forest/non-forest
vegetative cover. The validation of this burned area dataset

Results (English) 1:

a burned area product (Roy et al., 2005a), however, the multiyearthe record has not yet become available to the public.Other examples of global burned area mapping activitiesinclude GBA2000 (Tansey et al., 2004) and GLOBSCAR(Simon et al., 2004). Both products mapped the extents of burnedthe area of a globally for the year 2000 using SPOT-Vegetation(GBA2000) and ATSR-2 (GLOBSCAR) data, respectively.Unlike global active fire detection algorithms, these globalburned area products take into account regional specifics tosome degree. The GLOBSCAR processing mechanism involvesidentification of a "burnable zone" through the application of avegetation map. GBA2000 presents a combination of a series ofregional burned area products developed through regionalburned areas of algorithms. These algorithms are applied atcontinental and comparable scales covering various landcovertypes and biomes and therefore are insensitive to ecosystemthe level of specifics of vegetative cover or fire behavior. The FASHIONABLEBurned Area product is based on BRDF models which aredriven by vegetation type and therefore are more sensitive tospatial change of vegetative cover. However, the BRDF modelsdo not account for regional variability of fire occurrence andbehavior which makes it difficult to differentiate betweenchange due to burning and change caused by other reasons.Numerous regional burned area mapping activities were alsoundertaken using SPOT-Vegetation (Brivio et al., 2003; Egorovet al., 2004; Gerard et al., 2003; Zhang et al., 2003) and AVHRR(Sukhinin et al., 2004). The majority of these regionalproducts are hard-coded to the specifics of a given biome (e.g..boreal forest) and their mapping accuracy drops dramaticallyoutside the intended area. The approach presented by Zhanget al. (2003) has more flexibility to account for temporal changesin surface reflectance over various regions of the electromagnetic(EM) spectrum as a function of forest/non-forestvegetative cover. The validation of this burned area dataset

Results (English) 2:

a burned area product (Roy et al., 2005a), however, the multiyear
record has not yet Become available to the public.
Other examples of global burned area mapping activities
include GBA2000 (Tansey et al., 2004) and GLOBSCAR
(Simon et al., 2004). Both products mapped the extent of the burned
area globally for the year 2000 using SPOT-Vegetation
(GBA2000) and ATSR-2 (GLOBSCAR) of data, respectively.
Unlike global active fire detection algorithms, Reviews These global
burned area products take into account regional specifics to
some degree. The GLOBSCAR processing mechanism involves
identification of a "burnable zone" through the application of a
vegetation map. GBA2000 presents a combination of a series of
regional burned area regional products developed through
the burned area algorithms. Reviews These algorithms are applied at
continental and comparable scales covering various landcover
types and biomes and therefore are insensitive to ecosystem
-level specifics of vegetative cover or fire behavior. The MODIS
Burned Area product is based on BRDF models roomates are
driven by vegetation type and therefore are more sensitive to
spatial change of vegetative cover. However, the BRDF models
do not account for regional variability of fire occurrence and
behavior of the which makes it difficult, to differentiate between
change due to burning and change the caused by other reasons.
Numerous regional burned area mapping activities were Also
undertaken using SPOT-Vegetation (Brivio et al., 2003; Egorov
et al., 2004; Gerard et al., 2003; Zhang et al., 2003) and AVHRR
(Sukhinin et al., 2004) data. The majority of regional Reviews These
products are hard-coded to the specifics of a given biome (eg
boreal forest) and their mapping accuracy drops dramatically
outside the intended area. The approach presented by Zhang
et al. (2003) has more flexibility to account for temporal changes
in surface reflectance over various regions of the electromagnetic
(EM) spectrum as a function of forest / non-forest
vegetative cover. The validation of this dataset burned area