NOTICE -- The LBA-ECO Project website is no longer being supported.  This archive is a snapshot, as it existed in 2013, of the LBA-ECO website, maintained by NASA Goddard Space Flight Center, and now archived at the ORNL DAAC.  Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC.
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Investigation:

LC-01 (Walsh / Bilsborrow / Manosalvas)

LBA Dataset ID:

LC01_LULC_CLASSES_ECUADOR

Originator(s):

1. BILSBORROW, R.E.
2. WALSH, S.J.
      3. FRIZZELLE, B.G.

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 contains four general land use/land cover (LULC) classes -- excluding clouds and shadows -- for the four Intensive Study Area (ISAs) of the CPC Ecuador Projects, in the northern Oriente of Ecuador.

Beginning Date:

1986-08-23

Ending Date:

1999-11-15

Metadata Last Updated on:

2012-05-15

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-01 Landsat TM Land Use/Land Cover, Northern Ecuadorian Amazon: 1986-1999 :  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1084

Documentation/Other Supporting Documents:

LBA-ECO LC-01 Landsat TM Land Use/Land Cover, Northern Ecuadorian Amazon: 1986-1999 :  http://daac.ornl.gov/LBA/guides/LC01_LULC_Classes_Ecuador_ISA.html

Citation Information - Other Details:

Bilsborrow, R.E., S.J. Walsh, and B.G. Frizelle. LBA-ECO LC-01 Landsat TM Land Use/Land Cover, Northern Ecuadorian Amazon: 1986-1999. 2012. 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/1084

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND CLASSES LAND SURFACE LAND USE/LAND COVER LANDSAT (LAND REMOTE-SENSING SATELLITE) ANALYSIS

Uncontrolled Theme Keyword(s):  ECUADOR, INTENSIVE STUDY AREAS, LAND COVER, LAND USE, LULC, NORTHERN ECUADORIAN AMAZON

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  ECUADOR -0.00330 -0.80490 -76.50170 -77.12720

Related Publication(s):

Messina, J.P. and S.J. Walsh. 2001. 2.5D Morphogenesis: Modeling Landuse and Landcover Dynamics in the Ecuadorian Amazon. Plant Ecology, 156 (1): 75-88.

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

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Study area:

Four intensive study areas in the northern Ecuadorian Amazon:

- the Northern Intensive Study Area (NISA), which includes the area around Lago Agrio;

- the Southern Intensive Study Area (SISA), which includes the area around La Joya de los Sachas,

- the Eastern Intensive Study Area (EISA), which includes the area around Shushufindi, and

- the Southwestern Intensive Study Area (SWISA), which includes the area around Coca.




Spatial Resolution: 30m




Projection: Universal Transverse Mercator, Zone 18S




Datum: D_WGS_1984 Ellipsoid: WGS_1984




Temporal Coverage:

1986 (19860823): EISA, NISA, SISA

1989 (19890807): NISA

1996 (19961021): EISA, NISA, SISA, SWISA

1999 (19991115): EISA, NISA, SISA, SWISA




Parameters/Variables

ObjectID: Internal feature number; sequential unique whole numbers defined and automatically generated by ESRI software.

Value: LULC class;

0=No Data,

1=Forest,

2=Non-Forest Vegetation,

3=Urban/Barren,

4=Water,

5=Clouds/Shadows



Count: Number of pixels in the class




File Names:

class86_eisa.e00

class96_eisa.e00

class99_eisa.e00




class86_nisa.e00

class89_nisa.e00

class96_nisa.e00

class99_nisa.e00




class86_sisa.e00

class96_sisa.e00

class99_sisa.e00




class96_swisa.e00

class99_swisa.e00







Data format: ARC/INFO Import/Export format



Software: GIS Software: ESRI ArcGIS, ArcINFO, ArcView (or other systems that support e00), Import71



Description: Files ending in .e00 are ARC/INFO interchange format files. This is a simple ASCII file which can be opened and viewed using any common text editor (wordpad, notepad, textpad). IMPORT71 is a stand-alone program that converts an ARC/INFO interchange file created on any other operating system into a ARC/INFO 7.x coverage or grid. If you receive ARC/INFO data in interchange format you can use IMPORT71 to convert it to a data source in a format that can be added to a project or view in ArcView (or used in other mapping programs).

Data Application and Derivation:

Typical application of the data: Population-environment interaction research requires accurate LULC data for a variety of time periods. This data is used to determine the spatial structure and pattern of land use in the ISAs.



Derivation Techniques: An 255-cluster ISODATA unsupervised classification was performed on the Landsat TM image. Using Transformed Divergence and a minimum divergence of 1950, the 255 clusters were iteratively reduced to 30-40 spectrally separable clusters. The resultant 30-40 spectrally seperable clusters were entered into a maximum-likelihood supervised classification as training data. The CLUMP and ELIMINATE processes in Imagine were applied to the supervised classification output to reduce noise in the image. Classes were assigned to the 30-40 cluster supervised output using ancillary data and expert knowledge of the field site. Clusters belonging to the same class were then recoded to that class number.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Data Usage Guidance: There are no use constraints. It is important, however, that potential users be aware that the LULC classes contained in this data set are very general. Refer to the Entity Attributes section for a description of the types of land cover that are contained within each class.



Attribute Accuracy Report: Attribution of the pixels is based on a combination of the classification algorithm and informed decision-making by the analysts. Accuracy of the classification has not been determined.



Horizontal Positional Accuracy: Horizontal accuracy is within 0.5 pixels of the true location. Therefore, the accuracy is +/- 15 meters.

Process Description:

Data Acquisition Materials and Methods:

Source or Platform Collection Environment: Satellite (Landsat TM)


Source or Platform Program Management: NASA & USGS;

http://landsat.gsfc.nasa.gov/, http://edc.usgs.gov/products/satellite/tm.php



Source or Platform Mission Objectives: Space-based moderate-resolution land remote sensing data coarse enough for global coverage yet detailed enough to characterize human-scale processes; meant to serve as a resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research.



Coverage Information: Worldwide

Sensor or Instrument Descriptions: http://edc.usgs.gov/guides/landsat_tm.html



Key Variables: Radiance



Data Acquisition Methods: Purchase from Eros Data Center



References:

none cited

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