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Investigation:

LC-39 (DeFries / Shimabukuro)

LBA Dataset ID:

LC39_MODIS_FIRE_SA

Originator(s):

1. MORTON, D.C.
2. DEFRIES, R.S.
3. RANDERSON, J.T.
      4. GIGLIO, L.
5. SCHROEDER, W.
6. VAN DER WERF, G.R.

Point(s) of Contact:

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

Dataset Abstract:

This dataset contains MODIS active fire detections and an estimate of annual fire frequency for South America from 2000-2007. A subset of Collection 4 MODIS active fire detections were used to minimize potential commission errors from cool daytime fires in the MODIS active fire products (MOD14/MYD14). The frequency of active fire detections in a given location during the same fire year was estimated using a GIS. The number of unique days on which the active fire detections were recorded within a 1 km radius was estimated from the subset of active fire detections and the ArcGIS neighborhood variety algorithm. Output files of fire frequency for South America are at MODIS 250m resolution, where each grid cell value represents the number of days in that year on which active fires were detected. These data products are described in greater detail in Morton et al. (2008), and estimates of the frequency and duration of repeated fires for deforestation were used as inputs to the Deforestation Carbon Fluxes (DECAF) biogeochemical model (DeFries et al., 2008; van der Werf et al., 2009).

Beginning Date:

2000-03-01

Ending Date:

2007-12-31

Metadata Last Updated on:

2013-09-09

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-39 MODIS Active Fire and Frequency Data for South America: 2000-2007:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1186

Documentation/Other Supporting Documents:

LBA-ECO LC-39 MODIS Active Fire and Frequency Data for South America: 2000-2007:  http://daac.ornl.gov/LBA/guides/LC39_MODIS_Fire_SA.html

Citation Information - Other Details:

Morton, D.C., R.S. DeFries, J.T. Randerson, L. Giglio, W. Schroeder, and G.R. van der Werf. 2013. LBA-ECO LC-39 MODIS Active Fire and Frequency Data for South America: 2000-2007. Data set. Available on-line [http://daac.ornl.gov ] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1186

Keywords - Theme:

Parameter Topic Term Source Sensor
DEFORESTATION BIOSPHERE VEGETATION TERRA (MORNING EQUATORIAL CROSSING TIME SATELLITE) MODIS (MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER)
FIRE OCCURRENCE LAND SURFACE VEGETATION AQUA (AFTERNOON EQUATORIAL CROSSING TIME SATELLITE) MODIS (MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER)

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  SOUTH AMERICA 11.74520 -34.86000 -53.30800 -81.28600

Related Publication(s):

DeFries R.S., D.C. Morton, G.R. van der Werf GR, L. Giglio, G.J. Collatz, J.T. Randerson, R.A. Houghton, P.S. Kasibhatla. 2008. Fire-related carbon emissions from multiple land use transitions in southern Amazonia. Geophysical Research Letters 35, doi:10.1029/2008GL035689.

Le Page Y., G.R. van der Werf, D.C. Morton, J.M.C. Pereira JMC. 2010. Modeling fire-driven deforestation potential in Amazonia under current and projected climate conditions. Journal of Geophysical Research-Biogeosciences, doi:10.1029/2009JG001190

Morton D.C., R.S. DeFries, J.T. Randerson, L. Giglio, W. Schroeder, G.R. van der Werf. 2008. Agricultural intensification increases deforestation fire activity in Amazonia. Global Change Biology 14: 2262-2275

Morton, D.C., R.S. DeFries, Y.E. Shimabukuro, L.O. Anderson, E.Arai, F. del Bon Espirito-Santo, R. Frietas and J. Morisette. 2006. Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon. PNAS 103: 14637-14641.

Morton, D.C., Y.E. Shimabukuro, B.F.T. Rudorff, A. Lima, R. Freitas, R.S. DeFries. 2007. Challenges for conservation at the agricultural frontier: deforestation, fire, and land use dynamics in Mato Grosso. Agua & Ambiente 2(1): 5-20.

van der Werf, G.R., D.C. Morton, R.S. DeFries, L. Gilgio, J.T. Randerson, G.J. Collatz, P.S. Kasibhatla. 2009. Estimates of deforestation-induced carbon fluxes in the southern Amazon based on satellite data and biogeochemical modeling. Biogeosciences 6: 239-245.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

The dataset is composed of 49 individual data files for the location of active fires and 7 individual files for annual fire frequency in South America. For each fire year in South America (2000-2001 through 2006-2007), the location of MODIS Collection 4 Active Fire Detections from Terra (MOD14) and Aqua (MYD14) MODIS sensors are contained in 7 related files (extensions: .dbf, .prj,. sbn, .sbx, .shp, .xml, and .shx) that together form a vector shapefile in ArcGIS format. All files are labeled as: sa_2000_2001_terra_subset.ext, where

sa = South America

2000-2001= fire year, with separate calendar periods for Northern Hemisphere (July 2000-June 2001) and Southern Hemisphere (January 2001-December 2001) South America.

Terra = sensor, labeled as either Terra or TAQ for years with combined data from Terra & Aqua MODIS sensors.

The database file (.dbf) for each shapefile contains attribute information for each active fire detection. The columns in each table are described below:

SHAPE = Point, indicating that each entry is represented as a point feature

TIME = UTC time (HHMM),

DATE = UTC date (YYYYMMDD),

LAT = Latitude, in decimal degrees (WGS84)

LON = Longitude, in decimal degrees (WGS84)

T21 = MODIS Channel 21 brightness temperature (kelvins)

T31 = MODIS Channel 31 brightness temperature (kelvins)

BMT21 = Brightness mean temperature, MODIS Channel 21 (kelvins)

BMT31 = Brightness mean temperature, MODIS Channel 31 (kelvins)

FRP = Fire Radiative Power (MW)

R2 = MODIS Channel 2 Reflectance (Percent, scaled as 0-100. Value of -1 indicates nighttime fire detections)

CONF = Confidence (0-100).

Data Application and Derivation:

Multi-year analyses of fire frequency provide insight into fire use for land management during the deforestation process and subsequent agricultural activity in Amazonia. Frequent fire detections are diagnostic of deforestation activity (Morton et al., 2008), and the both the frequency and duration of fire activity provide important clues to the time-varying carbon emissions from deforestation in Amazonia (DeFries et al., 2008, van der Werf et al., 2009). Finally, the location and timing of deforestation fire activity, as estimated based on frequent fire detections in the same dry season, provides additional insight into the climatic constraints on fire-driven deforestation in the region (Le Page et al., 2010).

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Validation of the MODIS active fire detection algorithm has been conducted over a range of land cover and fire types (e.g., Schroeder et al., 2005; 2008).

Process Description:

Data Acquisition Materials and Methods:

We used active fire data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on board the Terra and Aqua platforms for South America from 2000-2007.

References:

DeFries, R.S., D.C. Morton, G.R. van der Werf GR, L. Giglio, G.J. Collatz, J.T. Randerson, R.A. Houghton, P.S. Kasibhatla. 2008. Fire-related carbon emissions from multiple land use transitions in southern Amazonia. Geophysical Research Letters 35, doi:10.1029/2008GL035689.



Le Page, Y., G.R. van der Werf, D.C. Morton, J.M.C. Pereira JMC. 2010. Modeling fire-driven deforestation potential in Amazonia under current and projected climate conditions. Journal of Geophysical Research-Biogeosciences, doi:10.1029/2009JG001190



Morton, D.C., R.S. DeFries, J.T. Randerson, L. Giglio, W. Schroeder, G.R. van der Werf. 2008. Agricultural intensification increases deforestation fire activity in Amazonia. Global Change Biology 14: 2262-2275



Schroeder, W., J. Morisette, I. Csiszar , L. Giglio, D.C. Morton, C.O. Justice. 2005. Characterizing vegetation fire dynamics in Brazil through multisatellite data: Common trends and practical issues. Earth Interactions 9, Paper 09-013.



Schroeder, W., E. Prins, L. Giglio, I. Csiszar, C. Schmidt, J. Morrisette, D.C. Morton. 2008. Validation of GOES and MODIS active fire detection productions using ASTER and ETM+. Remote Sensing of Environment 112, 2711-2726.



van der Werf, G.R., D.C. Morton, R.S. DeFries, L. Gilgio, J.T. Randerson, G.J. Collatz, P.S. Kasibhatla. 2009. Estimates of deforestation-induced carbon fluxes in the southern Amazon based on satellite data and biogeochemical modeling. Biogeosciences 6: 239-245.

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