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Investigation:

LC-22 (DeFries / Shimabukuro)

LBA Dataset ID:

LC22_POST_DEFORESTATION_LULC

Originator(s):

1. MORTON, D.C.
2. DEFRIES, R.S.
3. SHIMABUKURO, Y.E.
4. ANDERSON, L.O.
      5. ARAI, E.
6. ESPARITO-SANTO, F.D.B.
7. FREITAS, R.M.
8. MORISETTE, J.T.

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 estimates of post-deforestation land use as cropland, cattle pasture, or regrowing forests in the years after large deforestation events (>25 ha) from 2001-2004 in the Brazilian state of Mato Grosso. Individual large deforestation events from 2001-2004 were identified by the Brazilian Institute for Space Research (INPE) as part of the Program for the Estimation of Deforestation in the Brazilian Amazon (PRODES). Land use in the years following deforestation was estimated using annual time series of MODIS NDVI (normalized difference vegetation index) and EVI (enhanced vegetation index). Metrics of vegetation phenology derived annual time series of MODIS NDVI and EVI data were analyzed using a decision-tree classifier to characterize the majority cover type in each area of new deforestation. Finally, post-deforestation land use for each large deforestation event was classified based on the classification of MODIS phenology metrics for all years following deforestation during 2002-2005.

Beginning Date:

2001-08-01

Ending Date:

2005-07-31

Metadata Last Updated on:

2012-06-29

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-22 Post-deforestation Land Use, Mato Grosso, Brazil: 2001-2005:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1099

Documentation/Other Supporting Documents:

LBA-ECO LC-22 Post-deforestation Land Use, Mato Grosso, Brazil: 2001-2005:  http://daac.ornl.gov/LBA/guides/LC22_Post_Deforestation_LULC.html

Citation Information - Other Details:

Morton, D.C., R.S. DeFries, Y.E. Shimabukuro, L.O. Anderson, E. Arai, F. Esparito-Santo, R. Freitas, and J. Morisette. 2012. LBA-ECO LC-22 Post-deforestation Land Use, Mato Grosso, Brazil: 2001-2005. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/1099

Keywords - Theme:

Parameter Topic Term Source Sensor
DEFORESTATION BIOSPHERE LAND USE/LAND COVER TERRA (MORNING EQUATORIAL CROSSING TIME SATELLITE) MODIS (MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER)

Uncontrolled Theme Keyword(s):  DEFORESTATION, LAND COVER CLASSIFICATION, LAND USE, LULC, POST-DEFORESTATION

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
    -7.47310 -18.22810 -50.09560 -61.00890

Related Publication(s):

DeFries, R.S., D.C. Morton, G.R. van der Werf, L. Giglio, G.J. Collatz, J.T. Randerson, R.A. Houghton, P.K. Kasibhatla, and Y. Shimabukuro. 2008. Fire-related carbon emissions from land use transitions in southern Amazonia. Geophysical Research Letters 35(22)

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 30 individual data files. For each year (2001 through 2005), the size and location of deforestation polygons (as vectors) and their post-clearing land use are contained in 6 related files (extensions: .dbf, .prj,. sbn, .sbx, .shp, and shx) that together form a vector shapefile in ArcGIS format. All files are labeled as MT_post_deforestation_landuse_YYYY.ext

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

AREA_HA Area of each PRODES deforestation polygon in hectares (ha)

PERIMETER Perimeter of each PRODES deforestation polygon in meters (m)

_LAND_USE Classification of post-deforestation land use, with values 0- 3 corresponding to the following classes:

0 = UNCLASSIFIED (areas not covered by MODIS tiles H12V10, H12V09, or H13V10) 1 = CROPLAND

2 = PASTURE

3 = NOT IN PRODUCTION (deforested areas that were never fully cleared or returned immediately to secondary forest).

CLASS Post-deforestation land use of cropland, pasture, not in production, or unclassified, as indicated above.

USE2005_06 Classification of post-deforestation land use based on MODIS data from October 2005-September 2006, as described in Morton et al. 2007. This attribute is only included in shapefiles for deforestation in 2004 and 2005. Values 0-3 correspond to the same classification scheme as above:

0 = UNCLASSIFIED

1 = CROPLAND

2 = PASTURE

3 = NOT IN PRODUCTION

CLASS05_06 Post-clearing land use of cropland, pasture, not in production, or unclassified for deforestation in 2004 and 2005, as described in Morton et al. (2007).

Data Application and Derivation:

Multi-year analyses of the fate of deforested areas can be used to better understand the spatial and temporal patterns linking deforestation to social and economic drivers. See Morton et al. (2006), Morton et al. (2008), and van der Werf et al. (2009) for further discussion of the use and interpretation of the post-clearing land use data set described in this document.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Field observations completed in March and July 2005 were used to validate site classifications. Overall accuracy for the 2005 classification was estimated at 89% and the same classification rules were applied to all the years in the study (Morton et al. 2006).

Process Description:

Data Acquisition Materials and Methods:

We used PRODES (Program for the Estimation of Deforestation in the Brazilian Amazon) digital results of the annual deforestation increment mapped using Landsat TM data from approximately August of 2001-2004 for the state of Mato Grosso to identify the location and size of new clearings and summarize total deforested area, limiting our analyses to new clearings > 25 ha based on the moderate resolution (250m) of the MODIS (Moderate Resolution Imaging Specroradiometer) sensor.

References:

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.



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.



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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