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Investigation:

LC-22 (DeFries / Shimabukuro)

LBA Dataset ID:

LC22_MODIS_PHENOLOGY

Originator(s):

1. MORTON, D.C.
2. DEFRIES, R.S.
      3. SHIMABUKURO, Y.E.

Point(s) of Contact:

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

Dataset Abstract:

Land cover for the Brazilian state of Mato Grosso was classified in 2000-2001 and 2003-2004 based on vegetation phenology information from time series of Collection 4 MODIS 250m NDVI and EVI vegetation indices. Maps of cropland from satellite-based land cover classifications showed a strong linear relationship with agricultural census estimates of total area planted (Morton et al., 2011). The pattern, spatial extent, and nature of these land cover transitions have important ramifications for conservation of biodiversity and ecosystem function. Land cover maps in this dataset were used in studies of agricultural suitability (Jasinski et al., 2005), biophysical impacts of soybean expansion in Amazonia (Pongratz et al., 2006), and the spatial and temporal dimensions of deforestation for cropland (Morton et al., 2006; Morton et al., 2007; Galford et al., 2010). Related land cover datasets were developed for the DECAF model of deforestation carbon fluxes (DeFries et al., 2008; van der Werf et al., 2009).

Beginning Date:

2000-09-01

Ending Date:

2004-12-31

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-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1185

Documentation/Other Supporting Documents:

LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil:  http://daac.ornl.gov/LBA/guides/LC22_MODIS_Phenology_Mato_Grosso.html

Citation Information - Other Details:

Morton, D.C., R.S. DeFries, and Y.E. Shimabukuro. 2013. LBA-ECO LC-22 Land Cover from MODIS Vegetation Indices, Mato Grosso, Brazil. 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/1185

Keywords - Theme:

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

Uncontrolled Theme Keyword(s):  EVI, MATO GROSSO, BRAZIL, NDVI, PHENOLOGY

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  MATO GROSSO -6.87000 -20.00000 -52.32000 -60.44000

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.

Jasinski E.W., D.C. Morton, R.S. DeFries, Y.E. Shimabukuro, L.O. Anderson, M.C. Hansen. 2005. Physical landscape correlates of the expansion of mechanized agriculture in Mato Grosso, Brazil. Earth Interactions 9, Paper 09-016.

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.

Pongratz J, L. Bounoua, R.S. DeFries, D.C. Morton, L.O. Anderson, W. Mauser, C. Klink. 2006. The impact of land cover change on surface energy and water balance in Mato Grosso, Brazil. Earth Interactions 10, Paper 10-019.

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:

Land cover classifications were developed from one year of MODIS data, beginning each year with MODIS composite starting day of year 273 (e.g., September 29, 2000). This timing was chosen to correspond with the onset of rainfall in central Mato Grosso State. The phenology metrics derived from both NDVI and EVI time series provide information on seasonal phenology of different land cover types that was used in a decision-tree classifier derived from field reference points for each land cover class. MODIS tiles h12v10, h12v09, and h13v10 were used to derive the final land cover classification extent. PLEASE NOTE: these three tiles do not provide full coverage of Mato Grosso state. Also, no analyses were done for areas outside of Mato Grosso state, since training data from southern Para state, Goias state, Mato Grosso do Sul state, and Bolivia were not included in the classification development.

As noted in Morton et al. (2011), the 5 leaves of the classification tree for croplands each represent a unique pattern of crop phenology. Leaves 5, 7, and 15 correspond to a double-cropping system without dry season irrigation. Leaf 12 corresponds to a single crop rotation. Leaf 19 corresponds to double/triple crop rotation agriculture with dry season irrigation (generally pivot system irrigation).

For clarity, transitions between single (class 12) and double cropping systems (5, 7, 15, 19) were not included in estimates of total agricultural changes between 2000 and 2004 (Morton et al., 2011). Also, single and double pixel clusters were excluded from all analyses in Morton et al. 2011, given the higher likelihood of noise in small, isolated clusters (Morton et al., 2005). Failure to exclude small clusters of cropland pixels or croplands within the Xingu Indigenous Reserve or the Pantanal wetland biome, as described in the transition rules in Morton et al. (2011), will result in substantially different results from those presented in the publication.

Classification file names:

Mato_Grosso_2000_2001_classification_from_modis_phenology.tif

Mato_Grosso_2003_2004_classification_from_modis_phenology.tif



Legend:

Crops: 5, 7, 12, 15, 19

Cerrado: 3, 6, 8

Pasture: 1, 2, 4, 10, 11

Water: 20

Cerradao (closed-canopy): 9, 13, 16

Deforestation: 14

Forest: 17, 18



Projection information: MODIS sinusoidal

File Format: GeoTIFF

Pixel size: MODIS 250 m resolution (231.6564 m x 231.6564 m)

File Size: 5200 samples by 6300 rows.

UL:(-6671703.1179999998, -764234.32589999959)

-6.87, -60.44; -20, -52.32

Data Application and Derivation:

Classification and change maps at 250 m resolution provide essential new information that can be used to set conservation priorities. Spatially explicit information from satellite data sources provides important details for assessing conservation goals for total habitat, landscape connectivity, and the location of agricultural frontier zones. In addition, mapping the spatial extent of agricultural expansion and classifying transitions from cerrado and transition forest to cropland are critical first steps for evaluating tradeoffs between land use and conservation along the Amazon arc of deforestation. These classification maps have been used to evaluate region patterns of agricultural expansion (Morton et al., 2011), agricultural management (Galford et al., 2010), agricultural suitability (Jasinski et al., 2005), and biophysical impacts of land cover conversion from forest to pasture and cropland in the region (Pongratz et al., 2006).

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Classification accuracy was assessed using field observations of each cover type, as described in Morton et al. (2011). Please see the complete description of validation results in the attached manuscript for additional information.

Process Description:

Data Acquisition Materials and Methods:

We used NDVI/EVI data products from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors onboard the Terra platform for Mato Grosso from 2000-2004.

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.



Galford G.L., J.M. Melillo, D.W. Kicklighter, T.W. Cronin, C.E.P. Cerri, J.F. Mustard, C.C. Cerri. 2010. Greenhouse gas emissions from alternative futures of deforestation and agricultural management in the southern Amazon. PNAS 107: 19649-19654.



Hansen M.C., S.V. Stehman, P.V. Potapov, T.R. Loveland, J. Townshend, R.S. DeFries, K.W. Pittman, B. Arunarwati, F. Stolle, M.K. Steininger, M. Carroll, C. DiMiceli. 2008. Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data. Proceedings of the National Academy of Sciences, 105, 9439-9444.



Huete A.R., K. Didan, T. Miura, E.P. Rodriguez, X. Gao, L.G. Ferreira. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, 195-213.



Jasinski E.W., D.C. Morton, R.S. DeFries, Y.E. Shimabukuro, L.O. Anderson, M.C. Hansen. 2005. Physical landscape correlates of the expansion of mechanized agriculture in Mato Grosso, Brazil. Earth Interactions 9, Paper 09-016.



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., R.S. DeFries, Y.E. Shimabukuro. 2011. Quantifying Cropland Expansion in Cerrado and Transition Forest Ecosystems with MODIS Satellite Image Time Series. unpublished manuscript. Biospheric Sciences Branch, Code 614.4, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA (DCM). Department of Geography, 2181 LeFrak Hall, University of Maryland, College Park, MD,

20742, USA (DCM, RSD). Division de Sensoriamento Remoto, Avenida dos Astronautas 1758, Insituto Nacional de Pesquisas Espaciais (INPE), Sao Jose dos Campos, SP, Brasil (YES).



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.



Pongratz J, L. Bounoua, R.S. DeFries, D.C. Morton, L.O. Anderson, W. Mauser, C. Klink. 2006. The impact of land cover change on surface energy and water balance in Mato Grosso, Brazil. Earth Interactions 10, Paper 10-019.



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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