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-10 (Skole / Pedlowski)

LBA Dataset ID:

LBA_LC10_TM1986-94

Originator(s):

TRFIC(Trop Rain Forest Info Cntr, MI St Univ)

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 Landsat TM scenes from across the Legal Amazon region. A single image is provided for each spatial tile, representing the most cloud-free retrieval from 9/21/86 to 9/17/94. All files are in a single directory, including one band-sequential (bsq) file and one database (ddr) file for each scene.

Beginning Date:

1986-09-21

Ending Date:

1994-09-17

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 LC-10 Landsat TM Data for Legal Amazon: 1986-1994:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=852

Documentation/Other Supporting Documents:

LBA-ECO LC-10 Landsat TM Data for Legal Amazon: 1986-1994:  http://daac.ornl.gov/LBA/guides/LC10_Landsat_TM.html

Citation Information - Other Details:

TRFIC (Tropical Rain Forest Information Center, Michigan State University (http://www.trfic.msu.edu)). 2007. LBA-ECO LC-10 Landsat TM Data for Legal Amazon: 1986-1994. 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/852

Keywords - Theme:

Parameter Topic Term Source Sensor
LAND COVER LAND SURFACE LAND USE/LAND COVER LANDSAT-5 LANDSAT TM
LAND COVER LAND SURFACE LAND USE/LAND COVER LANDSAT-4 LANDSAT TM

Uncontrolled Theme Keyword(s):  LAND COVER, LANDSAT TM, REMOTE SENSING, SATELLITE

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  LEGAL AMAZON 5.23000 -19.68000 -42.59000 -75.18000

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

A single image is provided for each spatial tile, representing the most cloud-free retrievals from 1989 to 1994. Dates vary quite a bit, ranging from 9/21/86 to 9/17/94. All files for each scene are in a single directory, including one band sequential (bsq) file and one metadata (ddr) file. BSQ files include bands 1-5 and 7, which have 30m or 28.5m spatial resolution. Approximate scene size = 170 x 183 kilometers (106 x 115 miles). Files have different projections, including Transverse Mercator, zone = 62, and UTM, zones can be 18, 19, 20 etc. Datum varies (Clarke 1866 and Australian National).

Landsat TM Sensor Bands

The TM sensor is an advanced Earth resources multispectral scanning instrument. The TM data are scanned simultaneously in seven spectral bands. Band 6 scans thermal (heat) infrared radiation. Spectral range of the bands and spatial resolution for the TM sensor are:



Landsats 4-5 Wavelength Resolution

(micrometers) (meters)

Band 1 0.45 - 0.52 30

Band 2 0.52 - 0.60 30

Band 3 0.63 - 0.69 30

Band 4 0.76 - 0.90 30

Band 5 1.55 - 1.75 30

Band 6 10.40 - 12.50 120

Band 7 2.08 - 2.35 30

Data Application and Derivation:

These data were collected from the Landsat TM sensor. Due to their high resolution, they are especially appropriate for small-scale/mesoscale land cover change studies. The individual images should be highly useful as they include very little cloud cover, but care should be used if they are mosaicked together since retrieval dates vary.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

The data have been systematically corrected. This correction included geometric and radiometric corrections on the images based on the satellite model and ephemeris data. The image data are embedded in a common row and column matrix and are map oriented. UTM coordinate tic marks are embedded in the fill data surrounding the image data. These coordinates are also provided in an ASCII text file (extension *.ddr) associated with each scene. These coordinates can be used to rectify the image (to UTM north-up). A more accurate method for georeferencing the data would require a series of ground control points.Ãâ�šÃâ�š These points may be obtained from appropriate orthophotographs, orthorectified images or ground based measurements. Using the ground control points, the images can then be registered using a warping process. This georegistration can be done on standard image processing platforms such as ERDAS Imagine or ENVI.

Process Description:

Data Acquisition Materials and Methods:

The data have been acquired from 1) the U.S. National Archives held at the EROS Data Center, 2) foreign ground stations, and 3) directly from the EOSAT Corporation. A computerized Information Management System was constructed to sort through over 3 million metadata entries obtained from the EROS Data Center and the foreign ground stations. The EROS Data Center provided the full digital metadata listing of its own archives as well as the most current listing of metadata for selected ground stations through the Landsat Ground Station Operators Working Group (LGSOWG). These listings were supplemented with a significant number of additional entries provided directly by the ground stations. Images having less that 20% cloud cover within the optimal leaf-on period for the region were identified using this computerized information management system.

References:

No references available.

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