GBA2000 Data Download Area

Data Distribution Regulations:

Conditions for Use of this Application and Data therein:

Use of the GBA-2000 datasets for download purposes is provided freely in exchange of the following strict rules: The user do not obtain title to the intellectual property of the data held in this application, nor any copyright or propriety rights to its content. The users are not allowed to transfer, sublicense, rent, lease or sell the data therein. As the data provided are the intellectual property of the organizations which supplied the information, the original source of the data must be fully acknowledged. Please refer to the respective organizations for further inquiries regarding copyright and user limitations (see sources). Under no circumstances will the Joint Research Centre be liable for any damages resulting from use of the "Global Burned Area 2000 data sets" provided on-line.

Instruction for downloading and viewing the data in the original resolution (~ 1km):

Indication of Problematic Regions:

The data are available for download for the global product and for each of the six regions (A to F) as shown in the figure below.

  1. Canada, Alaska and the United States of America (down to 30 deg. N.) It is understood that there is an underestimation of burnt areas in Canadian forests. In the USA, there may be some false detections in the semi-arid regions but this has not been confirmed.
  2. Central and Southern America, United States of America (up to 30 deg. N.). In parts of Mexico, due to complex land surface properties, cloud cover and small burnt areas, it is difficult to evaluate the algorithms performance. In Brazil, we understand that we are not detecting small burnt areas and burning beneath the forest canopy. In addition, due to strong phenological influences in the east of Brazil, we believe that restrictions made on the algorithm in this area causes an overall underestimation of the true burnt areas. Significant areas of shadow caused by topography from the Andes mountain range may yield some false detections.
  3. Europe, European Russia, Maghreb and the Middle East. Estimation of the true burnt area in Europe and northern Africa provides difficulties because of the often small size of the fire events.
  4. Sub-Saharan Africa. Compared to the beta version, the sub-Saharan burnt area product provides a more accurate picture of burning activity in Africa. Small errors are present in the burnt area products, these are mainly caused by flooding of non-permanent water features and hot dark rocks in the East of Africa. Compared with the magnitude of burning in Africa, these false detections are insignificant.
  5. Asian Russia and Northern Asia (down to 30 deg. N.). In this region, it is understood that there are small areas of commissioned burnt pixels in forested ecosystems and a small amount of omitted pixels in grassland ecosystems.
  6. Southern Asia and Australia (Note: New Zealand is not processed due to no significant burning activity). In this region, some burnt areas in insular southeast Asia are not detected, caused mainly by excessive cloud coverage and a limited number of good observations of the ground surface. In Australia, it is understood that the GBA2000 product underestimates the true area burnt. However, certain types of burning activity in Australia cause the surface to increase in reflectance (the GBA2000 algorithms mainly look for a drop in reflectance) and very little amounts of vegetation in these arid regions burn.
REGION Jan. Feb. March April May June July August Sep. Oct. Nov. Dec. Year 2000 ENVI Header
Globe gba_01
gba_01_txt
gba_02
gba_02_txt
gba_03
gba_03_txt
gba_04
gba_04_txt
gba_05
gba_05_txt
gba_06
gba_06_txt
gba_07
gba_07_txt
gba_08
gba_08_txt
gba_09
gba_09_txt
gba_10
gba_10_txt
gba_11
gba_11_txt
gba_12
gba_12_txt
gba_2000
gba_2000_txt
gba_envi.hdr
A x x x a_04
a_04_txt
a_05
a_05_txt
a_06
a_06_txt
a_07
a_07_txt
a_08
a_08_txt
a_09
a_09_txt
a_10
a_10_txt
x x a_2000
a_2000_txt
a_envi.hdr
B b_01
b_01_txt
b_02
b_02_txt
b_03
b_03_txt
b_04
b_04_txt
b_05
b_05_txt
b_06
b_06_txt
b_07
b_07_txt
b_08
b_08_txt
b_09
b_09_txt
b_10
b_10_txt
b_11
b_11_txt
b_12
b_12_txt
b_2000
b_2000_txt
b_envi.hdr
C x x x c_04
c_04_txt
c_05
c_05_txt
c_06
c_06_txt
c_07
c_07_txt
c_08
c_08_txt
c_09
c_09_txt
c_10
c_10_txt
x x c_2000
c_2000_txt
c_envi.hdr
D d_01
d_01_txt
d_02
d_02_txt
d_03
d_03_txt
d_04
d_04_txt
d_05
d_05_txt
d_06
d_06_txt
d_07
d_07_txt
d_08
d_08_txt
d_09
d_09_txt
d_10
d_10_txt
d_11
d_11_txt
d_12
d_12_txt
d_2000
d_2000_txt
d_envi.hdr
E x x x e_04
e_04_txt
e_05
e_05_txt
e_06
e_06_txt
e_07
e_07_txt
e_08
e_08_txt
e_09
e_09_txt
e_10
e_10_txt
x x e_2000
e_2000_txt
e_envi.hdr
F f_01
f_01_txt
f_02
f_02_txt
f_03
f_03_txt
f_04
f_04_txt
f_05
f_05_txt
f_06
f_06_txt
f_07
f_07_txt
f_08
f_08_txt
f_09
f_09_txt
f_10
f_10_txt
f_11
f_11_txt
f_12
f_12_txt
f_2000
f_2000_txt
f_envi.hdr

Instruction for downloading and viewing the re-sampled geographic grid (1º, 1/2º, 1/4º) products between 180º W to 180º E and 75º N to 60º S:

Re-sampling Grid Size Jan. Feb. March April May June July August Sep. Oct. Nov. Dec. Year 2000
Total Number
of Burnt Pixels
(n)
1 (d) d_01_n d_02_n d_03_n d_04_n d_05_n d_06_n d_07_n d_08_n d_09_n d_10_n d_11_n d_12_n d_2000_n
1/2 (h) h_01_n h_02_n h_03_n h_04_n h_05_n h_06_n h_07_n h_08_n h_09_n h_10_n h_11_n h_12_n h_2000_n
1/4 (q) q_01_n q_02_n q_03_n q_04_n q_05_n q_06_n q_07_n q_08_n q_09_n q_10_n q_11_n q_12_n q_2000_n
                             
Percentage of Grid
Cell Burned
(pc)
1 (d) d_01_pc d_02_pc d_03_pc d_04_pc d_05_pc d_06_pc d_07_pc d_08_pc d_09_pc d_10_pc d_11_pc d_12_pc d_2000_pc
1/2 (h) h_01_pc h_02_pc h_03_pc h_04_pc h_05_pc h_06_pc h_07_pc h_08_pc h_09_pc h_10_pc h_11_pc h_12_pc h_2000_pc
1/4 (q) q_01_pc q_02_pc q_03_pc q_04_pc q_05_pc q_06_pc q_07_pc q_08_pc q_09_pc q_10_pc q_11_pc q_12_pc q_2000_pc
                             
Vegetated Percentage
of Grid Cell Burned
(pcv)
1 (d) d_01_pcv d_02_pcv d_03_pcv d_04_pcv d_05_pcv d_06_pcv d_07_pcv d_08_pcv d_09_pcv d_10_pcv d_11_pcv d_12_pcv d_2000_pcv
1/2 (h) h_01_pcv h_02_pcv h_03_pcv h_04_pcv h_05_pcv h_06_pcv h_07_pcv h_08_pcv h_09_pcv h_10_pcv h_11_pcv h_12_pcv h_2000_pcv
1/4 (q) q_01_pcv q_02_pcv q_03_pcv q_04_pcv q_05_pcv q_06_pcv q_07_pcv q_08_pcv q_09_pcv q_10_pcv q_11_pcv q_12_pcv q_2000_pcv