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Investigation:

CD-06 (Richey / Victoria)

LBA Dataset ID:

lba_cd06_lulc_ts

Originator(s):

1. HANADA, L.
2. BALLESTER, M.V.R.
3. RICHEY, J.E.
      4. VICTORIA, R.L.
5. FERNANDES, E.C.M.
6. KRUSCHE, A.V.

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 land use/land cover maps (1986, 1992, 1996 and 2001) for the Ji-Parana River Basin, derived from the digital classification of 8 Landsat images obtained from The Tropical Rain Forest Information Center (TRFIC).

Beginning Date:

1986-06-01

Ending Date:

2001-08-31

Metadata Last Updated on:

2007-09-19

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 CD-06 Land Use/Land Cover Time Series, Ji-Parana Basin, Brazil: 1986-2001 :  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=844

Documentation/Other Supporting Documents:

LBA-ECO CD-06 Land Use/Land Cover Time Series, Ji-Parana Basin, Brazil: 1986-2001 :  http://daac.ornl.gov/LBA/guides/CD06_Landuse_Timeseries_JiParana.html

Citation Information - Other Details:

Hanada, L., M. V. R. Ballester, J. E. Richey, R. L. Victoria, C. Fernandes, and A. V. Krusche. 2007. LBA-ECO CD-06 Land Use/Land Cover Time Series, Ji-Parana Basin, Brazil: 1986-2001. Data set. 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. doi:10.3334/ORNLDAAC/844

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND USE CLASSES LAND SURFACE LAND USE/LAND COVER LANDSAT-7 LANDSAT ETM+
LAND USE CLASSES LAND SURFACE LAND USE/LAND COVER LANDSAT-5 LANDSAT TM

Uncontrolled Theme Keyword(s):  LAND USE AND LAND COVER, LANDSCAPE ECOLOGY, TIME SERIES, WESTERN AMAZONIA

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Rondonia Rio Ji-Parana -8.03330 -12.92690 -60.01500 -63.41530

Related Publication(s):

Hanada, L. 2005. Land Use and Land Cover Changes in the Amazonian Frontier, Ji-Parana River Basin Rondonia - Brazil. Thesis.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Land use and land cover maps of the Ji-Parana River Basin, located in the State of Rondonia, Western Amazonia, Brazil are available for 1986, 1992, 1996, and 2001. The images for each year span a period of 3 months (June to August). The images are in ERDAS-IMAGINE format and include the following 9 land use classes:



Class Description

0 fundo No data

1 floresta Forest

2 agropastoril Agriculture and pasture

3 cerrado Savanna

4 0 No data

5 area urbana Urban

6 agua Water

7 nuvens Cloud

8 regeneracao Secondary growth





Files are in ERDAS-IMAGINE (version 8.4) format, and are zipped. File names follow this convention:



luYYYY.zip, where YYYY is 1986, 1992, 1996, or 2001.



Projection: UTM, zone 20S; WGS84 datum; spatial resolution 30 m.

Data Application and Derivation:

Possible applications for these data include landscape characterization, landscape ecology, landscape evolution and modeling.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

These data are quality assured and the classification accuracy is 89%.

Process Description:

Data Acquisition Materials and Methods:

Using ERDAS-IMAGINE (version 8.4), land-use/cover maps were produced from a digital classification of eight Landsat scenes. The images were acquired from the Tropical Rain Forest Information Center (TRFIC) at Michigan State University, as 1G products, radiometrically and geometrically corrected 0R images. Geodetic errors of these products are approximately 30 meters and this precision was achieved employing ground control points (http://www.bsrsi.msu.edu/). Pre-classification processing included haze reduction in input images using the method based on the Tasseled Cap transformation, which yields a component, correlated with haze, that is then removed, and the image is transformed back into RGB space. The supervised classification consisted of 183 signatures from training sites found throughout the mosaic; training sites were chosen in a spatially even and thorough manner across the entire image and processed as encoded radiance.



Shadow pixels (mainly along the edges of forest and large rivers) were mis-classified as either water or burned soils; these pixels are, for the most part, isolated or in groups of 2 or 3. In order to correct this problem the following five steps were taken: 1) re-code the classified image into a binary mask containing only water and burned soil pixels (value of 1); 2) in this mask, group all connected pixels into separate entities; 3) filter out any groups smaller than 4 pixels in size; this left a layer of all of the water and burned soil pixels which were not to be altered; 4) obtain a shadow mask by recoding this layer so that all of these pixels had a value of 1; 5) overlay this mask on the classified image and, using a neighborhood analysis operating in a 5x5 window, change the shadow pixels to the value of their surroundings. Accuracy assessment also included 161 control points collected in the field and later brought into the ERDAS-IMAGINE accuracy assessment module. The classification points (class values) and ground truth points (reference points) were compared and quantitatively summarized to compute a matrix and an accuracy assessment report.

References:

Hanada, L.C.; Ballester, M.V.R.; Victoria, R.L. & Richey, J.E. Land Use and Land Cover Changes in the Amazonian Frontier, Ji-Parana River Basin Rondonia. III Conferencia Cientifica do LBA (Large Scale Biosphere-Atmosphere Experiment in Amazonia). Brasilia, DF. 27-29 July, 2004.

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