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Investigation:

LC-24 (Walker / Reis)

LBA Dataset ID:

Originator(s):

1. Walker, Robert T.
2. Reis, Eustaquio J.
3. Arima, Eugenio Y.
4. Bohrer, Claudio Belmonte de Athayde
5. Caldas, Marcellus Marques
      6. Perz, Stephen G.
7. Pfaff, Alexander
8. Qi, Jiaguo
9. Souza Jr., Carlos Moreira de

Point(s) of Contact:

Walker, Robert T. (rwalker@msu.edu)

Dataset Abstract:

Cadastral Property Map of Uruara, Para, Brazil in Digital Format: In this LBA project, land parcel information of the Uruara area was acquired from INCRA in the form of a paper map without a projection (a spherical geographic coordinate system) in the South American 1969 datum (SAD1969). This paper map was digitized in Environmental Science Research Institute (ESRI) ArcInfo 8.1 using a digitizing table, and the digital cadastral data were geo-referenced and projected to match the Universal Transverse Mercator projection (Zone 22 South, World Geodetic System 1984 datum) of Landsat imagery (Landsat.org 2004).

Beginning Date:

None indicated.

Ending Date:

None indicated.

Metadata Last Updated on:

2009-05-01

Data Status:

Not yet in archive queue

Access Constraints:

Public

Data Center URL:

http://daac.ornl.gov

Distribution Contact(s):

ORNL DAAC User Services (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):

Access data via ORNL DAAC ftp site: LC-24 Cadastral Property Map, Uruara, Para in digital format:  Search at ORNL DAAC
Access data via LBA DIS: LC-24 Cadastral Property Map, Uruara, Para in digital format:  Search at ORNL DAAC

Documentation/Other Supporting Documents:

^4^:  Search at ORNL DAAC

Citation Information - Other Details:

Walker, R.T. and M.M. Caldas. 2009. LBA-ECO LC-24 Cadastral Property Map of Uruara, Para, Brazil in Digital Format. 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.

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND COVER HUMAN DIMENSIONS LAND USE/LAND COVER MAPS DIGITIZER
LAND COVER HUMAN DIMENSIONS LAND USE/LAND COVER PROPERTY MAPS DIGITIZER

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Para Western (Santarem) Uruara -3.70500 -3.70500 -54.10000 -54.10000

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

ESRI polygon shapefile displaying the individual property boundaries. Shapefile has no attributes.

Data Application and Derivation:

A GIS overlay function joined the digital cadastral map with the classified images, which enabled the generation of land cover magnitudes for the lots. These data were then output to files readable by statistical software, and the cover and survey data were combined for analysis.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Using the methods described below (Data acquisition materials and methods) the Cadastral map was digitized. While a formal in-computer accuracy assessment has not been performed, using the Cadastral map in real-time GPS location on site has been highly successful across the entire spatial extent of the shapefile. This signifies that the shapefile is of reasonable spatial accuracy throughout. Overlaying the property map on a 1999 Landsat ETM+ image of the area resulted in +/- 60 meters horizontal accuracy and +/- 90 meters vertical accuracy.

Process Description:

Data Acquisition Materials and Methods:

Land parcel information was acquired from INCRA in the form of a paper map without a projection (a spherical geographic coordinate system) in the South American 1969 datum (SAD1969). The map was digitized in Environmental Science Research Institute (ESRI) ArcInfo 8.1 using a digitizing table, and the digital cadastral data were geo-referenced and projected to match the Universal Transverse Mercator projection (Zone 22 South, World Geodetic System 1984 datum)

References:

ESRI = Environmental Science Research Institute

INCRA = Instituto de Colonizacao e Reforma Agraria (translated: Colonization and Agrarian Reform Institute)

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