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Investigation:

LC-09 (Moran / Batistella)

LBA Dataset ID:

LC09_TRANSITION_MATRICES

Originator(s):

1. BRONDIZIO, E.S.
      2. MORAN, E.F.

Point(s) of Contact:

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

Dataset Abstract:

This data set includes transition matrices of land cover identified in classified Landsat TM, MSS, ETM+ images and aerial photos of several Amazonian study sites: Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. Dates represent the most cloud-free image retrievals from 1970-1996 and are therefore not continuous. These classified images were used in change detection analyzes to create transition matrices of land cover change.

Beginning Date:

1985-01-01

Ending Date:

2001-12-31

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-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1098

Documentation/Other Supporting Documents:

LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001:  http://daac.ornl.gov/LBA/guides/LC09_Transition_Matrices.html

Citation Information - Other Details:

Brondizio, E.S. and E.F. Moran. 2012. LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001. 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/1098

Keywords - Theme:

Parameter Topic Term Source Sensor
DEFORESTATION BIOSPHERE LAND USE/LAND COVER LANDSAT-5 MSS (MULTISPECTRAL SCANNER)
LAND USE CLASSES BIOSPHERE LAND USE/LAND COVER LANDSAT-5 MSS (MULTISPECTRAL SCANNER)
LAND USE CLASSES BIOSPHERE LAND USE/LAND COVER LANDSAT-5 ETM+ (ENHANCED THEMATIC MAPPER PLUS)

Uncontrolled Theme Keyword(s):  AERIAL PHOTOGRAPHY, DEFORESTATION, ERDAS-IMAGINE, IMAGES, LAND COVER CLASSIFICATION, LAND USE, LULC

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
    -1.36000 -4.55920 -48.86000 -55.61000

Related Publication(s):

Batistella, M., and E. Brondizio. 2004. Uma strategia integrada de analise e monitoramento do impacto ambiental de assentamentos rurais na Amazonia. Pages 74-86 in Avaliacao e Contabilizacao de Impactos Ambientais. Editora Unicamp, Campinas, Brazil.

Batistella, M., E. Brondizio, and E. Moran. 2000. Comparative analysis of landscape fragmentation in Rondonia, Brazilian Amazon. International Archives of Photogrammetry an d Remote Sensing 33(B7):148-155.

Batistella, M., S. Robeson, and E.F. Moran. 2003. Settlement design, forest fragmentation, and landscape cahnge in Rondonia, Amazonia. Photogrammetric Engineering and Remote Sensing 69(7):805-812.

Boucek, B., and E.F. Moran. 2004. Inferring the behavior of households from remotely sensed changes in land cover: Current methods and future directions. Pages 23-47 in M.F. Goodchild and D.G. Janelle, editors. Spatially Integrated Social Science. Oxford University Press, New York, NY.

Brondizio, E. 2002. La dimension humana de la vegetacion secundaria en la Amazonia. Page 598 in M. Guariguata and G. Kattan, editors. Ecologia y Conservacion de Bosques Netropicales. Libro Universitario Regional, Cartago, Costa Rica.

Brondizio, E. 2004. From staple to fashion food: Shifting cycles and shifting opportunities in the development of the Acai palm fruit economy in the Amazon estuary. Pages 339-365 in D.J. Zarin, J.R.R. Alavalapati, F.E. Putz, and M. Schmink, editors. Working Forest in the Neotropics. Columbia University Press, New York, NY.

Brondizio, E., C.A.M. Safar, and A. Siqueira. 2002. The urban market of Acai fruit (Euterpe oleracea Mart.) and rural land use change: Ethnographic insights into the role of price and land tenure constraining agricultural choices in the Amazon estuary. Urban Ecosystems 6:67-97.

Brondizio, E., E. Moran, P. Mausel, and Y. Wu. 1996. Land cover in the Amazon estuary: Linking of the Thematic Mapper with botanical and historical data. Photogrammetric Engineering and Remote Sensing 62(8): 921-929.

Brondizio, E., S.D. McCracken, E.F. Moran, A.D. Siquiera, D.R. Nelson, and C. Rodriguez-Pedraza. 2002. The Colonist Footprint: Toward a Conceptual Framework of Deforestation Trajectories Among Small Farmers in Frontier Amazonia. pp. 133-161 in C.H. Wood and R. Porro, editors. Deforestation and Land Use in the Amazon. University of Florida Press, Gainesville, FL.

Brondizio, E.S. 1999. Agroforestry intensification in the Amazon estuary. Pages 88-113 in T. Granfelt, editor. Managing the Globalized Environment: Local Strategies to Secure Livelihoods. Intermediate Technology Publications, London, UK.

Brondizio, E.S. 2004. Agriculture intensification, economic identity, and shared invisibility in Amazonian peasantry: Caboclos and colonists in comparative perspective. Culture & Agriculture 26(1-2):1-24.

Brondizio, E.S., and A.D. Siqueira. 1997. From extractivists to forest farmers: Changing concepts of agricultural intensification and peasantry in the Amazon estuary. Research in Economic Anthropology 18:233-279.

Brondizio, E.S., and W.A. Neves. 1997. Populacoes caboclas do estuario do Amazonas: A percepcao do ambiente natural. Pages 167-182 in C. Pavan, editor. Uma Estrategia Latino Americana para Amazonia, Vol. I. Editora UNESP, Sao Paulo, Brazil.

Brondizio, E.S., E.F. Moran, P. Mausel, and Y. Wu. 1994. Land use change in the Amazon estuary: Patterns of caboclo settlement and landscape management. Human Ecology 22(3):249-278.

Castro, F.D., M.C. Silva-Forsberg, W. Wilson, E. Brondizio, and E. Moran. 2002. The use of remotely sensed data in rapid rural assessment. Field Methods 14(3): 243-269.

Deadman, P., D. Robinson, E.F. Moran, and E. Brondizio. 2004. Colonist household decisionmaking and land-use change in the Amazon Rainforest: An agent-based simulation. Environment and Planning B: Planning and Design 31:693-709.

Evans, T.P., A. Manire, F. de Castro, E. Brondizio, and S. McCracken. 2001. A dynamic model of household decision-making and parcel landcover change in the eastern Amazon. Ecological Modelling 143:95-113.

Evans, T.P., and E.F. Moran. 2002. Spatial integration of social and biophysical factors related to landcover change. Population and Environment: methods of Analysis. A supplement to Population and Development Review 28:165-186.

Futemma, C., and E.S. Brondizio. 2003. Land reform and land-use changes in the lower Amazon: Implications for agricultural intensification. Human Ecology 31(3):369-402.

Hurtt, G., X. Xiao, M. Keller, M. Palace, G.P. Asner, R. Braswell, E.S. Brondizio, M. Cardoso, J.R. Carvalho, M.G. Fearon, L. Guild, S. Hagen, S. Hetrick, B. Moore III, C. Nobre, J.M. read, T. Sa, A. Schloss, G. Vourlitis, and A.J. Wickel. 2003. IKONOS imagery for the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). Remote Sensing of Environment 88:111-127.

Lim, K., P.J. Deadman, E. Moran, E. Brondizio, and S. McCracken. 2002. Agent-based simulations of household decision making and land use change near Altamira, Brazil. Pages 277-310 in H.R. Gimblett, editor. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, New York, NY.

Lu, D., E. Moran, and M. Batistella. 2003. Linear mixture model applied to Amazonian vegetation classes. Remote Sensing of Environment 87:456-469.

Lu, D., G. Li, G.S. Valladares, and M. Batistella. 2004. Mapping soil erosion risk in Rondonia, Brazilian Amazonia: Using RUSLE, remote sensing, and GIS. Land Degradation and Development 15: 499-512.

Lu, D., M. Batistella, and E. Moran. 2004. Multitemporal spectral mixture analysis for Amazonian land-cover change detection. Canadian Journal of Remote Sensing 30(1): 87-100.

Lu, D., M. Batistella, E. Moran, and P. Mausel. 2004. Application of spectral mixture analysis to Amazonian land-use and land-cover classification. International Journal of Remote Sensing 25(23)5345-5358.

Lu, D., P. Mausel, E. Brondizio, and E. Moran. 2002. Above-ground biomass estimation of successional and mature forests using TM images in the Amazon Basin. Pages 183-196 in D.E. Richardson and P. van Oosterom, editors. Advances in Spatial Data Handling: 10th International Symposium on Spatial Data Handling. Springer-Verlag, New York, NY.

Lu, D., P. Mausel, E. Brondizio, and E. Moran. 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing 23(13):2651-2671.

Lu, D., P. Mausel, E. Brondizio, and E. Moran. 2003. Classification of successional forest stages in the Brazilian Amazon basin. Forest Ecology and Management 181:301-312.

Lu, D., P. Mausel, E. Brondizio, and E. Moran. 2004. Change detection techniques. International Journal of Remote Sensing 25(12):2365-2407.

Lu, D., P. Mausel, E. Brondizio, E. Moran. 2004. Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin. Forest Ecology and Management 198:149-167.

Lu, D., P. Mausel, M. Batistella, and E. Moran. 2004. Comparison of land-cover classification methods in the Brazilian Amazon basin. Photogrammetric Engineering and Remote Sensing 70(6): 723-731.

Lu, D., P. Mausel, M. Batistella, and E. Moran. 2005. Land-cover binary change detection methods for use in the moist tropical region of the Amazon: A comparative study. International Journal of Remote Sensing 26(1):101-114.

Mausel, P., Y. Wu, Y. Li, E.F. Moran, and E.S. Brondizio. 1993. Spectral identification of successional stages following deforestation in the Amazon. Geocarto International 8(4):61-71.

McCracken, S.D., A.D. Siqueira, E.F. Moran, and E.S. Brondizio. 2002. Land use patterns on an agricultural frontier in Brazil: Insights and examples from a demographic perspective. Pages 162-192 in C.H. Wood and R. Porro, editors. Deforestation and Land Use in the Amazon. University Press of Florida, Gainesville, FL.

McCracken, S.D., B. Boucek, and E.F. Moran. 2002. Deforestation trajectories in a frontier region of the Brazilian Amazon. Pages 215-234 in S.J. Walsh and K. Crews-Meyer, editors. Linking People, Place, and Policy: A GIScience Approach. Kluwer Academic Publishers, Boston, MA.

McCracken, S.D., E.S. Brondizio, D. Nelson, E.F. Moran, A.D. Siqueira, and C. Rodriguez-Pedraza. 1999. Remote sensing and GIS at farm property level: Demography and deforestation in the Brazilian Amazon. Photogrammetric Engineering and Remote Sensing 65(11):1311-1320.

Moran, E.F., A.S. Siqueira, and E.S. Brondizio. 2003. Household demographic structure and its relationship to the Amazon Basin. Pages 1-30 in J. Fox, R.R. Rindfuss, S.J. Walsh, and V. Mishra, editors. People and the Environment: Approaches for Linking Household and Community Surveys to Remote Sensing and GIS. Kluwer Academic Publishers, Boston, MA.

Moran, E.F., and E. Brondizio. 1994. Integrating Amazonian vegetation, land-use, and satellite data. BioScience 44(5):329-339.

Moran, E.F., and E.S. Brondizio. 1998. Land-use change after deforestation in Amazonia. Pages 94-120 in D. Liverman, E.F. Moran, R.R. Rindfuss, and P.C. Stern, editors. People and Pixels: Linking Remote Sensing and Social Science. National Academy Press, Washington, D.C.

Moran, E.F., and E.S. Brondizio. 2001. Human ecology from space: Ecological anthropology engages the study of global environmental change. Pages 64-87 in E. Messer and M. Lambek, editors. Ecology and the Sacred: Engaging the Anthropology of Roy A. Rappaport. University of Michigan Press, Ann Arbor, MI.

Moran, E.F., E. Brondizio, and P. Mausel. 1994. Secondary succession. National Geographic Research & Exploration 10(4):458-476.

Moran, E.F., E.S. Brondizio, and S.D. McCracken. 2002. Trajectories of Land Use: Soils, Succession, and Crop Choice. Pages 193-218 in C.H. Wood and R. Porro, editors. Land Use and Deforestation in the Amazon. University Press of Florida, Gainesville, FL.

Moran, E.F., E.S. Brondizio, J. Tucker, M.C. Silva-Forsberg, I.C. Falesi, and S. McCracken. 2000. Strategies for Amazonian forest restoration: Evidence for afforestation in five regions of the Brazilian Amazon. Pages 129-149 in A. Hall, editor. Amazonnia at the Crossroads: The Challenge of Sustainable Development. Institute of Latin American Studies, London, UK.

Moran, E.F., E.S. Brondizio, J.M. Tucker, M.C. da Silva-Forsberg, S. McCracken, and I. Falesi. 2000. Effects of soil fertility and land-use on forest succession in Amazonia. Forest Ecology and Management 139:93-108.

Siqueira, A.D., S.D. McCracken, E.S. Brondizio, and E.F. Moran. 2003. Women and work in a Brazilian agricultural frontier. Pages 243-265 in G. Clark, editor. Gender at Work in Economic Life. Altamira Press, New York, NY.

Tucker, J.M., E.S. Brondizio, and E.F. Moran. 1998. Rates of forest regrowth in eastern Amazonia: A comparison of Altamira and Bragantina regions, Para state, Brazil. Interciencia 23(2):64-73.

Walker, R., E. Moran, and L. Anselin. 2000. Deforestation and cattle ranching in the Brazilian Amazon: External capital and household processes. World Development 28(4):683-699.

Wessels, K.J., R.S. De Fries, J. Dempewolf, L.O. Anderson, A.J. Hansen, S.L. Powell, and E.F. Moran. 2004. Mapping regional land cover with MODIS data for biological conservation: Examples from the Greater Yellowstone Ecosystem, USA, and Para State, Brazil. Remote Sensing of Environment 92:67-83.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

This data set includes zipped archives of transition matrices of land cover identified in classified Landsat TM, MSS, ETM+ images and aerial photos of several Amazonian study sites (as TIF .tif files with companion header files as TIF world .tfw files): Altamira, Santarem, and Ponta de Pedras, in the state of Para, Brazil. Dates represent the most cloud-free image retrievals from 1970-1996 and are therefore not continuous.



Corner pixel coordinates lie within the center of the pixel. Data have been rectified and subset, unless otherwise noted. Individual images classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, water). These classified images were used in change detection analyses to create transition matrices of land cover change (see individual file information below).



Data files included:

1) Altamira transition matrix

rs_class_altamira.tif

rs_class_altamira.tfw

UTM, Zone 22S GRS 1967 Truncated, SAD69

Image classes: Unclassified, Forest, Deforestation before 1970, Deforestation before 1975, Deforestation before 1979, Deforestation before 1985, Deforestation before 1991, Deforestation before 1996, Water

Upper Left X: 210890.0 / -3 deg 2 min 10 sec

Lower Right X: 377000.0 / -3 deg 46 min 52 sec

Upper Left Y: 9664044.0 / -53 deg 36 min 3 sec

Lower Right Y: 9581964.0 / -52 deg 6 min 27 sec

Image Width: 5537

Image Height: 2736

Block Width: 5537

Block Height: 8

Image Type: Thematic

Data Type: Unsigned 16-bit

Data Order: BIP

Pixel Size 30 m



2) Ponta de Pedras transition matrix � rs_class_pontadepedras.img

UTM, South American 1969, SAD-69

Image classes: Unclassified, Forest, Deforestation since 1991, Bare Soil (bare), Secondary Succession (SS), Used fallow (Fallow use), Vegetation regrowth (regrowth), Savannas, Water

Upper Left X: 1395379.0 / -1 deg 18 min 43 sec

Lower Right X: 1416619.0 / -1 deg 27 min 38 sec

Upper Left Y: 9853535.0 / -42 deg 58 min 40 sec

Lower Right Y: 9836855.0 / -42 deg 47 min 18 sec

Image Width: 708

Image Height: 556

Block Width: 708

Block Height: 8

Image Type: Thematic

Data Type: Unsigned 16-bit

Data Order: BIP

Pixel Size 30 m



2) Santarem transition matrix

rs_class_santarem.tif

rs_class_santarem.tfw

UTM

Image classes: Unclassified, Forest, Deforestation before 1972, Deforestation before 1979, Deforestation before 1986, Deforestation before 1991, Deforestation before 2001, Savanna, Other, Water

Upper Left X: 654614.896656534980 / -2 deg 18 min 19 sec

Lower Right X: 801615.103334346490 / -4 deg 32 min 50 sec

Upper Left Y: 9745109.0 / -55 deg 36 min 34 sec

Lower Right Y: 9496799.0 / -54 deg 16 min 55 sec

Image Width: 4935

Image Height: 8278

Block Width: 64

Block Height: 64

Image Type: Thematic

Data Type: Unsigned 32-bit

Data Order: BIL

Pixel Size 29.7933130699087910 m X, 30.0 m Y

Data Application and Derivation:

Data to be used in spatial analyzes of land use and land cover change.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Data, were georeferenced to previously rectified images with low RMS error (<1.0).



Classifications produced with low errors of omission/commission (at time of metadata creation, these data were unavailable).

Process Description:

Data Acquisition Materials and Methods:

Data acquired from:

-USGS EROS (http://edc.usgs.gov/products/satellite/mss.html)

-Landsat.org (http://www.landsat.org)

-INPE (http://www.inpe.br/)



Bands combined (layer-stack) and registered to UTM using ERDAS Imagine (Leica Geosystems, St. Gallen, Switzerland) (version unknown at the time of metadata creation). Images were georeferenced to previously rectified images using ERDAS Imagine. Radiometric and atmospheric correction done according to methods described by Green et al. (2005).



Dates represent the most cloud-free image retrievals from 1970-1996 and are therefore not continuous. Data have been rectified and subset, unless otherwise noted. Individual images classified into several types of land use (e.g., forest, secondary succession, pasture, annual crops, perennial crops, water). These classified images were used in change detection analyzes to create transition matrices of land cover change (see individual file information below).



Classified images were developed by first running an unsupervised ISODATA classification, and second editing the class names based on image interpretation, AOIs, spectral signatures, field notes and maps, and previous classification, using Erdas IMAGINE (version unknown at the time of metadata creation).



Classified images were then used in a change detection analysis, using Erdas IMAGINE (version unknown at the time of metadata creation).



Data originally in the Imagine file format (.img), but exported to TIF (.tif) using ERDAS Imagine 8.7.



Data files included:

1) Altamira transition matrix

rs_class_altamira.tif

rs_class_altamira.tfw

UTM, Zone 22S GRS 1967 Truncated, SAD69

Image classes: Unclassified, Forest, Deforestation before 1970, Deforestation before 1975, Deforestation before 1979, Deforestation before 1985, Deforestation before 1991, Deforestation before 1996, Water

Upper Left X: 210890.0 / -3 deg 2 min 10 sec

Lower Right X: 377000.0 / -3 deg 46 min 52 sec

Upper Left Y: 9664044.0 / -53 deg 36 min 3 sec

Lower Right Y: 9581964.0 / -52 deg 6 min 27 sec

Image Width: 5537

Image Height: 2736

Block Width: 5537

Block Height: 8

Image Type: Thematic

Data Type: Unsigned 16-bit

Data Order: BIP

Pixel Size 30 m



2) Ponta de Pedras transition matrix â�â�œ rs_class_pontadepedras.img

UTM, South American 1969, SAD-69

Image classes: Unclassified, Forest, Deforestation since 1991, Bare Soil (bare), Secondary Succession (SS), Used fallow (Fallow use), Vegetation regrowth (regrowth), Savannas, Water

Upper Left X: 1395379.0 / -1 deg 18 min 43 sec

Lower Right X: 1416619.0 / -1 deg 27 min 38 sec

Upper Left Y: 9853535.0 / -42 deg 58 min 40 sec

Lower Right Y: 9836855.0 / -42 deg 47 min 18 sec

Image Width: 708

Image Height: 556

Block Width: 708

Block Height: 8

Image Type: Thematic

Data Type: Unsigned 16-bit

Data Order: BIP

Pixel Size 30 m



2) Santarem transition matrix

rs_class_santarem.tif

rs_class_santarem.tfw

UTM

Image classes: Unclassified, Forest, Deforestation before 1972, Deforestation before 1979, Deforestation before 1986, Deforestation before 1991, Deforestation before 2001, Savanna, Other, Water

Upper Left X: 654614.896656534980 / -2 deg 18 min 19 sec

Lower Right X: 801615.103334346490 / -4 deg 32 min 50 sec

Upper Left Y: 9745109.0 / -55 deg 36 min 34 sec

Lower Right Y: 9496799.0 / -54 deg 16 min 55 sec

Image Width: 4935

Image Height: 8278

Block Width: 64

Block Height: 64

Image Type: Thematic

Data Type: Unsigned 32-bit

Data Order: BIL

Pixel Size 29.7933130699087910 m X, 30.0 m Y

References:

Green, G.M., C.M. Schweik, and J.C. Randolph. 2005. Retrieving Land-Cover Change Information from Landsat Satellite Images by Minimizing Other Sources of Reflectance Variability. Pages 131-160 in E.F. Moran and E. Ostrom, editors. Seeing the Forest and the Trees: Human-Environment Interactions in Forest Ecosystems. MIT Press, Cambridge, MA.

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