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Investigation:

LC-01 (Walsh / Bilsborrow / Manosalvas)

LBA Dataset ID:

LC01_Farms_Plots_NEC

Originator(s):

1. Bilsborrow, Richard E.
2. Walsh, Stephen J.
      3. McGregor, Stephen J.

Point(s) of Contact:

Bilsborrow, Richard E. (richard_bilsborrow@unc.edu)
Frizzelle, Brian (bgf@email.unc.edu)
Walsh, Stephen J. (swalsh@email.unc.edu)

Dataset Abstract:

This data contains detailed LULC data at the plot level for four sample fincas madres in the Northern Ecuadorian Amazon

Beginning Date:

2000-01-01

Ending Date:

2000-12-31

Metadata Last Updated on:

2012-01-23

Data Status:

Archived at LBA-DIS Only

Access Constraints:

Restricted

Data Center URL:

http://www.cpc.unc.edu/projects/ecuador/

Distribution Contact(s):

Brian Frizzelle (bgf@email.unc.edu)

Access Instructions:

Restricted

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):

Data not available - Readme:  Search at ORNL DAAC

Documentation/Other Supporting Documents:

Data Set User's Guide:  Search at ORNL DAAC

Citation Information - Other Details:

Due to confidentiality issues, these data are not available.

Keywords - Theme:

Parameter Topic Term Source Sensor
SURVEYS HUMAN DIMENSIONS BOUNDARIES FIELD INVESTIGATION  

Uncontrolled Theme Keyword(s):  LULC, detailed, finca, land cover, land use, plot

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Ecuador Northern Ecuadorian Amazon

Related Publication(s):

Barbieri AF, Carr DL. Gender-specific out-migration, deforestation and urbanization in the Ecuadorian Amazon. Global and Planetary Change, 47, 99-110, 2005.

Mena CF, Bilsborrow RE, McClain ME. 2006. Socioeconomic drivers of deforestation in the Northern Ecuadorian Amazon. Environmental Management, 37, 802-815, 2006

Pan WKY, Bilsborrow RE. 2005. The use of a multilevel statistical model to analyze factors influencing land use: a study of the Ecuadorian Amazon. Global and Planetary Change, 47, 232-252, 2005

Pan, W.K.Y., S.J. Walsh, R.E. Bilsborrow, B.G. Frizzelle, C.M. Erlien, and F. Baquero. 2004. Farm-level models of spatial patterns of land use and land cover dynamics in the Ecuadorian Amazon. Agriculture Ecosystems & Environment 101(2-3):117-134.

Rindfuss, R.R., S.J. Walsh, B.L. Turner, J. Fox, and V. Mishra. 2004. Developing a science of land change: Challenges and methodological issues. Proceedings of the National Academy of Sciences of the United States of America 101(39):13976-13981.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Study Area: Northern Ecuadorian Amazon



Spatial coverage: Unavailable for public access for confidentiality reasons. Please contact the Spatial Analysis Unit at the Carolina Population Center for more information (http://www.cpc.unc.edu/projects/ecuador/contact.html).



Temporal coverage: This dataset includes polygons defining various land cover types on four fincas. Image date is October 25, 2000.

Data Application and Derivation:

Typical application of the data: LULC polygons may be overlaid onto Landsat imagery to develop spectral signatures. These spectral signatures may be used for future classifications, ground control activities, and validation and calibration efforts. This data may be used to perform spatial and spectral merges of concurrent TM and IKONOS images as well as to provide subpixel information for Landsat TM imagery.



Derivation techniques: The IKONOS image, in combination with field survey data, was used to develop polygons representing various land cover types.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Data usage guidance: Use of these data requires Human Subjects Research certification through the University of North Carolina at Chapel Hill. Please contact the Spatial Analysis Unit at the Carolina Population Center with any questions (http://www.cpc.unc.edu/projects/ecuador/contact.html).

Process Description:

Data Acquisition Materials and Methods:

Field surveys indicated the existence of land cover classes (21 classes: African palm, bamboo, banana, cacao, coconut, coffee, coffee (abandoned), corn, guayaba, lemon, oranges, palmito,pasture, peanut, pepper, primary forest, rice, secondary forest, stubble, sugar cane, yuca). The field data were used to inform the derivation of the polygon boundaries using the IKONOS image. The IKONOS imagery was acquired from Space Imaging through the University of New Hampshire\'s EOS-WEBSTER program (http://eos-webster.sr.unh.edu/home.jsp).


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