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Investigation:

LC-23 (Morisette / Schroeder / Pereira)

LBA Dataset ID:

lba_lc23_vfd

Originator(s):

1. SCHROEDER, W.
2. MORISETTE, J.T.
3. CSISZAR, I.A.
      4. GIGLIO, L.
5. MORTON, D.C.
6. JUSTICE, C.O.

Point(s) of Contact:

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Dataset Abstract:

Satellite fire detection was determined from two sensors the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-12 and the Moderate Resolution Imaging Spectroradiometer (MODIS) on both the Terra and Aqua platforms, for 2001- 2003 to characterize fire activity in Brazil, giving special emphasis to the Amazon region.
Active fire data for AVHRR/NOAA-12 was produced using a fixed threshold fire detection technique based on the algorithm developed by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE) (Setzer and Pereira, 1991; Setzer et al., 1994; Setzer and Malingreau, 1996).
Active fire data for MODIS/Terra and MODIS/Aqua was produced using a contextual fire detection technique based on NASA-University of Maryland algorithm (Justice et al., 2003; Giglio et al.2003). Resulting fire counts were compared for major biomes of Brazil (Figure 1), the nine states of the Legal Amazon (e.g., Tocantins, Figure 2), and two important road corridors in the Amazon region (Figure 3). In evaluating the daily fire counts, there is a dependence on variations in satellite viewing geometry, overpass time, atmospheric conditions, and fire characteristics (Schroeder et al., 2005).
The data provided are the coordinates of daily active vegetation fires in Brazil for 2001 through 2003 at 1km resolution for both AVHRR and MODIS sensors. Data are provided in both Arcview (shape file format) and ASCII comma separated file formats. Vector files for the major biomes of Brazil, the nine states of the Legal Amazon, and two important road corridors in the Amazon region are also included.

Beginning Date:

2001-01-01

Ending Date:

2003-12-31

Metadata Last Updated on:

2007-09-19

Data Status:

Archived

Access Constraints:

PUBLIC

Data Center URL:

http://daac.ornl.gov/

Distribution Contact(s):

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Access Instructions:

PUBLIC

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

LBA-ECO LC-23 Characterization of Vegetation Fire Dynamics for Brazil: 2001-2003:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=843

Documentation/Other Supporting Documents:

LBA-ECO LC-23 Characterization of Vegetation Fire Dynamics for Brazil: 2001-2003:  http://daac.ornl.gov/LBA/guides/LC23_Vegetation_Fire_Dynamics.html

Citation Information - Other Details:

Schroeder, W., J.T. Morisette, I. Csiszar, L. Giglio, D. Morton and C.O. Justice. 2006. LBA-ECO LC-23 Characterization of Vegetation Fire Dynamics for Brazil: 2001-2003. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/843

Keywords - Theme:

Parameter Topic Term Source Sensor
FIRE CHARACTERISTICS BIOSPHERE ECOLOGICAL DYNAMICS AQUA MODIS
FIRE OCCURRENCE BIOSPHERE ECOLOGICAL DYNAMICS TERRA MODIS
REFLECTANCE LAND SURFACE SURFACE RADIATIVE PROPERTIES NOAA-12 AVHRR

Uncontrolled Theme Keyword(s):  AQUA, AVHRR, BR163, BR230, BRAZILIAN AMAZON, BRAZILIAN ECOSYSTEMS, MODIS, NOAA-12, SATELLITE INTER-COMPARISON, TERRA, VEGETATION FIRES

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  BRAZIL 5.30000 -33.75000 -34.80000 -74.00000

Related Publication(s):

Schroeder, W., J.T. Morisette, I. Csiszar, L. Giglio, D. Morton, and C.O. Justice. 2005. Characterizing Vegetation Fire Dynamics in Brazil through Multisatellite Data: Common Trends and Practical Issues. Earth Interactions 9(13):1-26.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

<p class=i2>The daily active fire data provide coordinates of vegetation fires in

Brazil at 1km resolution for both AVHRR and MODIS sensors. </p>

<p class=i2>

All files are in

shape file format and can be used in GIS software such as Arcview. The

various sub-files of the shape files have been zipped so that each zip file

contains data for one shape file. The shape files are in geographic projection

and in WGS-84 datum.</p>

<p class=i2>Fire counts were assessed for major biomes of Brazil, the nine

states of the Legal Amazon, and two important road corridors in the Amazon

region. Vector files for these features are also included and described below.</p>

<p class=i2>The data provided are the coordinates of daily active vegetation fires in

Brazil for 2001 through 2003 at 1km resolution for both AVHRR and MODIS sensors.

Data are provided in both Arcview (shape file format) and ASCII comma separated

file formats. Vector files for the major biomes of Brazil, the nine states of

the Legal Amazon, and two important road corridors in the Amazon region are also

included. </p>

<p class=i2> </p>

<p class=i2><u><font size=4>Active fire data available in Arcview shape file format.</font></b></u></p>



<blockquote>

<p class=i2 style=margin-top: 0; margin-bottom: 0>File naming conventions are:

</b>satelliteplatform_year.* </p>

<p class=i2 style=margin-top: 0; margin-bottom: 0> </p>

<p class=i2 style=margin-top: 0; margin-bottom: 0><u>Where: </b></u>

</p>

<blockquote>

<p class=i2 style=margin-top: 0; margin-bottom: 0>

satelliteplatform = aqua, noaa12, or terra</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>

year =

2001, 2002, or 2003

</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>

and file extensions are: .dbf, .sbn, .sbx, .shp, .shx,<span style=font-size: 12.0pt; font-family: Times New Roman>

.prj</span></p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>

(Arcview shape file format)</p>

</blockquote>

</blockquote>

<blockquote>

<p class=i2><u>For example:</b></u></p>

<p class=i2><u><span style=text-decoration:none lang=FR> </span></u></b><u>terra_2001.zip

contains the following files :</u></p>

<blockquote>

<p class=i2 style=margin-top: 0; margin-bottom: 0>terra_2001.dbf</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>terra_2001.sbn</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>terra_2001.sbx</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>terra_2001.shp</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>terra_2001.shx</p>

<p class=i2 style=margin-top:0in;margin-right:0in;margin-bottom:0in;

margin-left:12.2pt;margin-bottom:.0001pt>terra_2001.prj</p>

</blockquote>

</blockquote>

<p class=i2> </p>

<p class=i2><u><font size=4>Active fire

data available in comma separated ASCII format.</font></b></u></p>



<blockquote>

<p class=i2 style=margin-top: 0; margin-bottom: 0>File naming conventions are:

</b>satelliteplatform_year.* </p>

<p class=i2 style=margin-top: 0; margin-bottom: 0> </p>

<p class=i2 style=margin-top: 0; margin-bottom: 0><u>Where: </b></u>

</p>

<blockquote>

<p class=i2 style=margin-top: 0; margin-bottom: 0>

satelliteplatform = aqua, noaa12, or terra</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>

year = 2001, 2002, or 2003

</p>

<p class=i2 style=margin-top: 0; margin-bottom: 0>

and file extensions are: .txt (Comma separated ASCII files)</p>

</blockquote>

<p class=i2 style=margin-top: 0; margin-bottom: 0>aqua_2003.txt</b> has the following column headings:

</p>

<blockquote>

<p class=i2 style='margin-bottom:12.0pt'>Latitude = latitude in decimal degrees

(+ north / - south)
Longitude = longitude in decimal degrees (+ east / - west)


Brightness = brightness temperature in Kelvin
Scan = east-west pixel size in kilometers


Track = north-south pixel size in kilometers


Acqdate = acquisition date in yyyy-mm-dd


Time = acquisition time in hhmm UTC


Satellite = satellite name A = Aqua


Confidence = detection confidence value (0.0-100.0%) </p>

<p class=i2 style='margin-bottom:12.0pt'> </p>

</blockquote>

<p class=i2 style='margin-bottom:0pt; margin-top:0'>Example Data Records

(aqua_2003.txt): </b></p>

<blockquote>

<table border=1 width=65% id=table1 cellpadding=3 bgcolor=#D5EAFF>

<tr>

<td>Latitude,Longitude,Brightness,Scan,Track,Acqdate,Time,Satellite,Confidence


-29.4850,-49.8470,313.5000,1.7000,3.2000,2003-11-20,1630,A,0.0000


-29.4730,-49.8510,311.8000,1.7000,3.2000,2003-11-20,1630,A,0.0000


-27.2340,-48.8160,313.3000,1.6000,2.5000,2003-11-20,1630,A,64.0000


...</td>

</tr>

</table>

</blockquote>

<p class=i2 style='margin-bottom:12.0pt'>

terra_yyyy.txt</b> has the following column headings:

</p>

<blockquote>

<p class=i2 style='margin-bottom:12.0pt'>Latitude = latitude in decimal degrees (+ north / - south)


Longitude = longitude in decimal degrees (+ east / - west)


Brightness = brightness temperature in Kelvin
Scan = east-west pixel size in kilometers


Track = north-south pixel size in kilometers


Acqdate = acquisition date in yyyy-mm-dd
Time = acquisition time in hhmm UTC


Satellite = satellite name T = Terra


Confidence = detection confidence value (0.0-100.0%) </p>

<p class=i2 style='margin-bottom:12.0pt'> </p>

</blockquote>

<p class=i2 style='margin-bottom:0; margin-top:0'>Example Data Record (terra_2001.txt):

</b></p>

<blockquote>

<table border=1 width=65% id=table2 cellpadding=3 bgcolor=#D5EAFF>

<tr>

<td>Latitude,Longitude,Brightness,Scan,Track,Acqdate,Time,Satellite,Confidence


-3.1270,-41.1000,330.4000,0.0000,0.0000,2001-09-24,1320,T,0.0000


-3.7960,-38.4800,319.8000,0.0000,0.0000,2001-09-24,1320,T,0.0000


-3.8400,-41.5190,351.4000,0.0000,0.0000,2001-09-24,1320,T,0.0000


-3.8410,-41.5100,347.0000,0.0000,0.0000,2001-09-24,1320,T,0.0000


...</td>

</tr>

</table>

</blockquote>

<p class=i2 style='margin-bottom:12.0pt'> </p>

<p class=i2>noaa12_yyyy.txt</b> has the following column headings: </p>

<blockquote>

<p class=i2>Lat = latitude in decimal degrees (+ north / - south)


Long = longitude in decimal degrees (+ east / - west)


Date = acquisition date yyyymmdd


Time = acquisition time hhmmss UTC


Satellite = satellite name
Municipality = municipality name


State = state name (AC = Acre, AM = Amazonas, AP = Amapá, MA = Maranhao, MT =

Mato Grosso, PA = Para, RO = Rondonia, RR = Roraima, TO = Tocantins)
Country = country name


Precipitation = 15 day accumulated precipitation in mm
Days_without_rain = days without rain


Fire_risk = Fire risk
Persistence = number of persistent detections

</p>

</blockquote>

<p class=i2> </p>

<p class=i2>Example Data Record (noaa12_2003.txt): </b></p>

<table border=1 width=65% id=table3 cellpadding=3 bgcolor=#D5EAFF>

<tr>

<td>Lat,Long,Date,Time,Satellite,Municipality,State,Country,Precipitation,Days_without_rain,Fire_risk,Persistence


2.49500,-61.46000,20030101,191808,NOAA-12,Mucajaí,RR,Brasil,25.66,7,0.462,0


0.85167,-59.50000,20030101,191808,NOAA-12,Caroebe,RR,Brasil,31.23,7,0.131,0


0.85333,-59.48667,20030101,191808,NOAA-12,Caroebe,RR,Brasil,31.23,7,0.131,0


-2.19000,-44.64167,20030101,191808,NOAA-12,Guimarães,MA,Brasil,20.67,5,0.801,0


...</td>

</tr>

</table>

</blockquote>

<blockquote>

<blockquote>

<p class=i2> </p>

</blockquote>

</blockquote>

<p class=i2><u><font size=4>Vector files describing physical features of

study area.</font></b></u></p>

<blockquote>

<blockquote>

<p class=i2>Vector files defining the contours of the nine Brazilian Amazon states:</b></p>

<blockquote>

<p class=i2>Produced by the Instituto Brasileiro de Geografia e Estatistica (IBGE).

</p>

<p class=i2><u>Files are Arcview shape file format: </u></p>

<p class=i2><u>a</u>mazon_states.zip contains the following files - </p>

<blockquote>

<p class=i2>amazon_states.dbf
amazon_states.shp
amazon_states.shx




<span style=font-size: 12.0pt; font-family: Times New Roman>

amazon_states.prj


</span></p>

</blockquote>

</blockquote>

<p class=i2>Vector files defining the contours of the major Brazilian ecosystems:

</b></p>

<blockquote>

<p class=i2>Produced by the Instituto Brasileiro de Meio Ambiente (IBAMA).</p>

<p class=i2><u>Files are Arcview shape file format: </u></p>

<p class=i2><u>e</u>cosystem.zip contains the following files -

</p>

<blockquote>

<p class=i2 style=margin-top: 0; margin-bottom: 0>ecosystem.dbf
ecosystem.sbn


ecosystem.sbx
ecosystem.shp


ecosystem.shx

<p class=i2 style=margin-top: 0; margin-bottom: 0>

ecosystem.prj</blockquote>

<p class=i2> </p>

</blockquote>

<p class=i2 style='margin-bottom:12.0pt'>Vector files defining buffer zones of 10km-50km along three corridors in the

Brazilian Amazon region showing different stages of development:</b> </p>

<p class=i2 style='margin-bottom:12.0pt'>Filenames use the following conventions:

</b>bufferXXkm_stageY.dbf </p>

<p class=i2 style='margin-bottom:12.0pt'>where: </b></p>

<blockquote>

<p class=i2 style='margin-bottom:12.0pt'>XX = the buffer distance in kilometers (10, 20, 30, 40, or 50)


Y = the Stage of development (I, II, III)


Stage I coincides with the main axis of highway BR-163.


Stages II and III coincide with the main axis of highway BR-230. </p>

<p class=i2 style='margin-bottom:12.0pt'><u>Files are Arcview shape file format: </u></p>

<blockquote>

<p class=i2>buffer10km_stageI.zip contains the following files

â�â�œ </p>

<p class=i2 style='margin-bottom:0; margin-top:0'>buffer10km_stageI.dbf</p>

<p class=i2 style='margin-bottom:0; margin-top:0'>buffer10km_stageI.sbn</p>

<p class=i2 style='margin-bottom:0; margin-top:0'>buffer10km_stageI.shx</p>

<p class=i2 style='margin-bottom:0; margin-top:0'>buffer10km_stageI.dbp</p>

<p class=i2 style='margin-bottom:0; margin-top:0'>buffer10km_stageI.shx</p>

<p class=i2 style=margin-top:0in;margin-right:0in;margin-bottom:0in;

margin-left:12.2pt;margin-bottom:.0001pt>buffer10km_stageI.prj</p>

</blockquote>

<p class=i2 style='margin-bottom:0; margin-top:0'>

</p>

</blockquote>

</blockquote>

</blockquote>

<p class=i2 style='margin-bottom:12.0pt'> </p>

Data Application and Derivation:

Active fire data for AVHRR/NOAA-12 was produced using a fixed threshold fire detection technique based on the algorithm developed by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE)(Setzer and Pereira, 1991; Setzer et al., 1994; Setzer and Malingreau, 1996). Active fire data for MODIS/Terra and MODIS/Aqua was produced using a contextual fire detection technique based on NASA-University of Maryland algorithm (Justice et al., 2003; Giglio et al.2003).

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

MODIS active fire data quality assessment information is available in the related paper:

Schroeder, W., J.T. Morisette, I. Csiszar, L. Giglio, D. Morton, and C.O. Justice. 2005. Characterizing Vegetation Fire Dynamics in Brazil through Multisatellite Data: Common Trends and Practical Issues. Earth Interactions 9(13):1-26.

Process Description:

Data Acquisition Materials and Methods:

Raw satellite imagery used to run detection algorithms by CPTEC/INPE and NASA/UMD. AVHRR/NOAA-12 images were received and archived by the Instituto Nacional de Pesquisas Espaciais (INPE) in Brazil; MODIS images were received and archived by NASA.

References:

Setzer, A. W., and Pereira, M. C., 1991, Operational detection of fires in Brazil with NOAA/AVHRR. 24th International Symposium on Remote Sensing of the Environment,Rio de Janeiro, Brazil (Ann Arbor, E.R.I.M.), 469-482.



Setzer, A.W., Pereira Jr, A.C. and Pereira, M.C., 1994, Satellite studies of biomass burning in Amazonia: some practical aspects. Remote Sensing Reviews, 10, 91-103.



Setzer, A. W., and Malingreau, J. P., 1996, AVHRR Monitoring of Vegetation Fires in the Tropics: Toward the Development of a Global Product. In Biomass Burning and Global Change, Vol. 1: Remote Sensing, Modeling and Inventory Development, and Biomass Burning in Africa, edited by J. S. Levine (MIT Press: Cambridge MA), pp. 25-39.



Justice, C. O, Giglio, L., Korontzi, S., Owens, J., Morisette, J. T., Roy, D., Descloitres, J., Alleaume, S., Petitcolin, F., and Kaufman, Y., 2002, The MODIS fire products. Remote Sensing of Environment, 83, 244-262.



Giglio, L., Descloitres, J., Justice, C. O., and Kaufman, Y., 2003, An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 47, 1311-1318.





Morisette, J.T., Giglio, L., Csiszar, I., Setzer, A., Schroeder, W., Morton, D., Justice, C.O., 2005, Validation of MODIS active fire detection products derived from two algorithms. Earth Interactions, 9,Paper No 9.

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