BOREAS Level-3p Landsat TM Imagery: Geocoded and Scaled At-sensor Radiance

Summary:

For BOREAS, the level-3p Landsat TM data were used to supplement the level-3s 
Landsat TM products.  Along with the other remotely sensed images, the Landsat 
TM images were collected in order to provide spatially extensive information 
over the primary study areas.  This information includes radiant energy, 
detailed land cover, and biophysical parameter maps such as FPAR and LAI.  
Although very similar to the level-3s Landsat TM products, the level-3p images 
were processed with ground control information which improved the accuracy of 
the geographic coordinates provided.  Geographically, the level-3p images cover 
the BOREAS NSA and SSA.  Temporally, the four images cover the period of 20-Aug-
1988 to 07-Jun-1994.  Except for the 07-Jun-1994 image which contains 7 bands, 
the other three only contain 3 bands.


Table of Contents

   *   1 Data Set Overview
   *   2 Investigator(s)
   *   3 Theory of Measurements
   *   4 Equipment
   *   5 Data Acquisition Methods
   *   6 Observations
   *   7 Data Description
   *   8 Data Organization
   *   9 Data Manipulations
   *  10 Errors
   *  11 Notes
   *  12 Application of the Data Set
   *  13 Future Modifications and Plans
   *  14 Software
   *  15 Data Access
   *  16 Output Products and Availability
   *  17 References
   *  18 Glossary of Terms
   *  19 List of Acronyms
   *  20 Document Information

1. Data Set Overview

1.1 Data Set Identification

BOREAS Level-3p Landsat TM Imagery: Geocoded and Scaled At-sensor Radiance

1.2 Data Set Introduction

The BOReal Ecosystem-Atmosphere Study (BOREAS) Staff Science effort covered 
those activities that were BOREAS community-level activities, or required 
uniform data collection procedures across sites and time. These activities 
included the acquisition of the relevant satellite data. Data from the Landsat 
Thematic Mapper (TM) instruments on the Landsat satellites were acquired by the 
Canada Centre for Remote Sensing (CCRS) and provided for use by BOREAS 
researchers.

1.3 Objective/Purpose

For BOREAS, the Landsat TM imagery, along with the other remotely sensed images, 
was collected in order to provide spatially extensive information over the 
primary study areas.  This information includes detailed land cover and 
biophysical parameter maps such as biomass, Fraction of Photosynthetically 
Active Radiation (FPAR), and Leaf Area Index (LAI).

1.4 Summary of Parameters

Landsat TM level-3p data in the BORIS contains the following parameters:

Original image header information, image coordinates, gains and offsets for each 
band for at-sensor radiance derivations, image bands 3, 4, 5 or 1 - 7 processed 
in a precision geocorrected form.

1.5 Discussion

Use and distribution of the level-3p Landsat TM images are subject to copyright 
restrictions.  CCRS and Radarsat International (RSI) granted permission to 
BOREAS to place a subset of the level-3a Landsat TM images on the BOREAS CD-ROM 
series; however, none of the level-3p images are included.  The level-3p images 
may not be available for public access.  Please see Sections 15 and 16 for 
further details.

BORIS staff processed the Landsat TM level-3p imagery by:
1) Extracting pertinent header information from the level-3p image product and 
   placing it in an American Standard Code for Information Interchange (ASCII) 
   file on disk,
2) Reading the information in the ASCII disk file and loading the on-line data 
   base with pertinent information.

1.6 Related Data Sets

BOREAS Level-3a Landsat TM Imagery: Scaled At-sensor Radiance in BSQ Format

BOREAS Level-3b Landsat TM Imagery: At-sensor Radiance in BSQ Format

BOREAS Level-3s Landsat TM Imagery: Scaled At-sensor Radiance in LGSOWG Format

BOREAS Level-3s SPOT Imagery: Scaled At-sensor Radiance in LGSOWG Format

2. Investigator(s)

2.1 Investigator(s) Name and Title

BOREAS Staff Science

2.2 Title of Investigation

BOREAS Staff Science Satellite Data Acquisition Program

2.3 Contact Information

Contact 1
----------
Jeffrey A. Newcomer       
NASA Goddard Space Flight Center (GSFC) 
Greenbelt, MD
(301) 286-785       
(301) 286-0239       
Jeffrey.Newcomer@gsfc.nasa.gov

Contact 2
----------
Josef Cihlar                    
Canada Centre for Remote Sensing
Ottawa, Ontario                 
Canada                  
(613) 947-1265            
Josef.Cihlar@geocan.emr.ca

3. Theory of Measurements

The Landsat series of satellites began with the Earth Resources Technology 
Satellite (ERTS) launched in July 1972. This satellite was renamed Landsat 1 in 
1975 to reflect its primary use as a land resource observatory. Through its 
onboard instruments, Landsat monitors Earth's mountain ranges, deserts, forests, 
and crops by measuring the light waves they reflect.

The second generation of Landsat satellites (4 and 5) marked a significant 
advance in remote sensing through the addition of the more sophisticated TM 
sensor, with higher spectral and spatial resolution, and faster data processing 
at a highly automated data processing facility at the National Aeronautics and 
Space Administration (NASA) Goddard Space Flight Center (GSFC) in Greenbelt, MD.  
For BOREAS, the CCRS receiving station in Prince Albert, Saskatchewan collected 
the raw data.  Processing of the raw data to the level-3p images was performed 
with the Geocoded Image Correction System (GICS; Friedel, 1992) at the CCRS 
facility in Ottawa.

As Landsat's instrument mirrors scan Earth's surface, light enters the 
instrument optics, where it is focused on specially calibrated detector arrays. 
Onboard electronics encode the detector voltage as binary digits or bits. These 
digital image data are then relayed back to Earth to be processed into film and 
Computer-Compatible Tape (CCT) products which are subsequently used for Earth 
resources analysis.

4. Equipment

4.1 Sensor/Instrument Description

The TM sensor system records radiation from seven bands in the electromagnetic 
spectrum. It has a telescope that directs the incoming radiant flux obtained 
along a scan line through a scan line collector to the visible and near-infrared 
focal plane, or to the mid-infrared and thermal-infrared cooled focal plane. The 
detectors for the visible and near-infrared bands (1 to 4) are four staggered 
linear arrays, each containing 16 silicon detectors. The two mid-infrared 
detectors are 16 indium-antimonide cells in a staggered linear array, and the 
thermal-infrared detector is a four-element array of mercury-cadmium-telluride 
cells. The spectral regions, band widths, and primary use of each channel are 
given in the following table:

Channel  Wavelength (�m)                Primary Use
-------  ---------------  ------------------------------------------
1        0.451 -  0.521      Coastal water mapping, soil vegetation 
                             differentiation, deciduous/coniferous 
                             differentiation.
2        0.526 -  0.615      Green reflectance by healthy vegetation.
3        0.622 -  0.699      Chlorophyll absorption for plant species
                             differentiation.
4        0.771 -  0.905      Biomass surveys, water body delineation.
5        1.564 -  1.790      Vegetation moisture measurement, snow and cloud
                             differentiation.
6       10.450 - 12.460      Plant heat stress measurement, other thermal 
                             mapping.
7        2.083 -  2.351      Hydrothermal mapping.

4.1.1 Collection Environment

The BOREAS Landsat TM level-3p images were acquired through the CCRS.  
Radiometric corrections and systematic geometric corrections are applied to 
produce the images in a path-oriented and precision-corrected (level-3p) form.  
A full TM image contains 6920 pixels in each of 5728 lines.  Before any 
geometric corrections, the ground resolution is 30 m for bands 1, 2, 3, 4, 5, 
and 7 and 120 m for band 6 at nadir. The pixel values of the images can range 
from 0 to 255. This allows each pixel to be stored in a single-byte field.  The 
level-3p images were processed through the CCRS GICS.  The Landsat satellite 
orbits Earth at an altitude of 705 km.

4.1.2 Source/Platform

Although the majority of the BOREAS Landsat TM imagery was acquired by the 
instrument onboard Landsat-5, some imagery was obtained with the TM sensor on 
the Landsat 4 platform.

4.1.3 Source/Platform Mission Objectives

The Landsat TM is designed to respond to and measure both reflected and emitted 
Earth surface radiation to enable the investigation, survey, inventory, and 
mapping of Earth's natural resources.

4.1.4 Key Variables

Reflected radiation, emitted radiation, temperature.

4.1.5 Principles of Operation

The TM is a scanning optical sensor operating in the visible and infrared 
wavelengths. It contains a scan mirror assembly that directly projects the 
reflected Earth radiation onto detectors arrayed in two focal planes. The TM 
achieves better image resolution, sharper color separation, and greater in-
flight geometric and radiometric accuracy for seven spectral bands 
simultaneously than the previous generation sensor, the MultiSpectral Scanner 
(MSS). Data collected by the sensor are beamed back to ground receiving stations 
for processing.
 
4.1.6 Sensor/Instrument Measurement Geometry

The TM sensor depends on the forward motion of the spacecraft for the along-
track scan and uses moving mirror assembly to scan in the cross-track direction 
(perpendicular to the spacecraft).  The instantaneous field-of-view (IFOV) for 
each detector from bands 1 - 5 and band 7 is equivalent to a 30-m square when 
projected to the ground at nadir; band 6 (the thermal infrared band) has an IFOV 
equivalent to a 120-m square at nadir.

4.1.7 Manufacturer of Sensor/Instrument

NASA GSFC
Greenbelt, MD 20771

Hughes Santa Barbara Remote Sensing (SBRS)
Goleta, CA

4.2 Calibration

The internal calibrator, a flex-pivot-mounted shutter assembly, is synchronized 
with the scan mirror, oscillating at the same 7-Hz frequency. During the 
turnaround period of the scan mirror, the shutter introduces the calibration 
source energy and a black direct-current restoration surface into the 100-
detector field-of-view (FOV).

The calibration signals for bands 1 - 5 and 7 are derived from three regulated 
tungsten-filament lamps. The calibration source for band 6 is a blackbody with 
three temperature selections, commanded from the ground. The method for 
transmitting radiation to the moving calibration shutter allows the tungsten 
lamps to provide radiation independently and to contribute proportionately to 
the illumination of all detectors.

4.2.1 Specifications

                      Radiometric
Band              Sensitivity [NE(dP)]*
----              --------------------
1                     0.8%
2                     0.5%
3                     0.5%
4                     0.5%
5                     1.0%
6                     0.5 K [NE(dT)]
7                     2.4%

Ground IFOV             30 m (Bands 1-5, 7)
                        120 m (Band 6)
Avg. altitude          699.6 Km
Data rate                 85 Mbps
Quantization levels      256
Orbit angle             8.15 degrees
Orbital nodal period   98.88 minutes
Scan width               185 km
Scan angle              14.9 degrees
Image overlap            7.6%

Note:  The radiometric sensitivities are the noise-equivalent (NE) reflectance 
differences for the reflective channels expressed as percentages [NE(dP)] and 
temperature differences for the thermal-infrared bands [NE(dT)] in Kelvins.

4.2.1.1 Tolerance

The TM channels were designed for a NE differential represented by the 
radiometric sensitivity shown in Section 4.2.1.

4.2.2 Frequency of Calibration

The absolute radiometric calibration between bands on the TM sensor is 
maintained by using internal calibrators located between the telescope and the 
detectors that are sampled at the end of a scan.

4.2.3 Other Calibration Information

Relative within-band radiometric calibration, to reduce "striping," is provided 
by a scene-based procedure called histogram equalization. Because of the 
absolute accuracy and relative precision of this calibration scheme, it is 
assumed that any changes in the optics of the primary telescope or the 
"effective radiance" from the internal calibrator lamps are insignificant in 
comparison to the changes in detector sensitivity and electronic gain and bias 
with time and that the scene-dependent sampling is sufficiently precise for the 
required within-scan destriping from histogram equalization.

Each TM reflective band and the internal calibrator lamps were calibrated prior 
to launch using lamps in integrating spheres that were in turn calibrated 
against lamps traceable to calibrated National Bureau of Standards lamps. The 
absolute radiometric calibration constants in the "short-term" and "long-term" 
parameter files used for ground processing were modified after launch if there 
was an inconsistency within or between bands, a change in the inherent dynamic 
range of the sensors, or a desire to make quantized and calibrated values from 
one sensor match those from another.

5. Data Acquisition Methods

The BOREAS Landsat TM level-3s and -3p images were acquired through the CCRS.  
Radiometric corrections and systematic or precision geometric corrections are 
applied to produce the images in a path-oriented form.  A full TM image contains 
6920 pixels in each of 5728 lines (see Section 11.2).  Before any geometric 
corrections, the ground resolution is 30 m for bands 1-5 and 7 and 120 m for 
band 6 at nadir. The pixel values of the images can range from 0 to 255. This 
allows each pixel to be stored in a single-byte field.

6. Observations

6.1 Data Notes

None.

6.2 Field Notes

Not applicable.

7. Data Description

7.1 Spatial Characteristics

7.1.1 Spatial Coverage

The BOREAS level-3p Landsat TM images cover the NSA and SSA.  The SSA and the 
NSA are located in the southwest and northeast portions of the overall region.  
A full TM scene covers approximately 31,000 square kilometers.

The North American Datum of 1983 (NAD83) corner coordinates of the SSA are:

             Latitude     Longitude
             --------     ---------
Northwest    54.321 N     106.228 W
Northeast    54.225 N     104.237 W
Southwest    53.515 N     106.321 W
Southeast    53.420 N     104.368 W

The NAD83 corner coordinates of the NSA are:

             Latitude     Longitude
             --------     ---------
Northwest    56.249 N      98.825 W
Northeast    56.083 N      97.234 W
Southwest    55.542 N      99.045 W
Southeast    55.379 N      97.489 W

7.1.2 Spatial Coverage Map

Not available.

7.1.3 Spatial Resolution

Before any geometric corrections, the spatial resolution is 30 m for bands 1-5,  
and 7 and 120 m for band 6 at nadir.  These values increase with scan angle away 
from the nadir path.  The level-3p Landsat TM images have had geometric 
corrections applied so that the spatial resolution for all pixels is 30 m in all 
bands.  These level-3p images have a high level of internal spatial integrity 
and have had ground control added to improve the accuracy of the geographic 
coordinates provided on the tape.  The accuracy of these geographic coordinates 
is unknown at the time of writing this document.

7.1.4 Projection

The level-3p Landsat TM images are placed in a Universal Transverse Mercator 
(UTM) projection based on NAD83. Detailed projection parameter information for 
the individual images is contained in the leader file(s).

7.1.5 Grid Description

The pixel/grid spacing for each pixel in the level-3p Landsat TM images is 30 m 
in the UTM projection.  Detailed grid parameter information for the individual 
images is contained in the leader file(s).

7.2 Temporal Characteristics

7.2.1 Temporal Coverage

Imagery acquired before the BOREAS field campaigns were conducted is included in 
the BOREAS archive with imagery collected during the project.  Historical 
Landsat data have been acquired by CCRS routinely since the launch of Landsat 1 
and are kept in the CCRS archive.

Since the mid-1980s, CCRS has been acquiring and archiving all Landsat data over 
Canada during the growing season; however during the winter, only requested data 
were obtained. For BOREAS, this policy was modified to obtain data throughout 
the year over the BOREAS region. The acquired data are archived by CCRS and can 
be interrogated to ascertain which scenes were archived and their 
characteristics. 

The BOREAS level-3p Landsat TM acquisitions cover 20-Aug-1988 to 07-Jun-1994.

three-band scenes were ordered specifically to compare precision coordinate 
information in the header with coordinates derived from the enhanced geographic 
There are a limited number of level-3p TM images in BORIS.  A few level-3p 
information BORIS is providing with the level-3a TM product.  One seven-band 
level-3p TM scene is archived in BORIS, only because the level-3s was not 
available.

7.2.2 Temporal Coverage Map

The following table lists the available level-3p Landsat TM images:

    Date        Study Area
-----------     ----------
20-Aug-1988        NSA
14-Aug-1989        NSA
09-Aug-1991        SSA
07-Jul-1994        SSA

7.2.3 Temporal Resolution

The Landsat TM satellite revisit frequency is 16 days for each path/row, however 
in the BOREAS region the overlap between scene paths is about 50%.

7.3 Data Characteristics 

Data characteristics are defined in the companion data definition file
(ltm_ii3p.def)

7.3.1 Parameter/Variable

The main parameter contained in the image data files is scaled at-sensor 
radiance.

7.3.2 Variable Description/Definition

For the image data files:
Scaled at-sensor radiance - The scaled value representing the radiant energy 
                            incident on the sensor aperture at the time of data 
                            collection in the specific TM wavelength regions.

7.3.3 Unit of Measurement

The units for the scaled at-sensor radiance values vary by band.  To obtain at-
sensor radiance values in Watts/(m2 * sr * �m) use the formula:
         At-sensor Radiance = Scaled Value * Gain + Offset

where the gain and Offset values are contained in the ASCII header file.

7.3.4 Data Source

The data contained in the level-3p Landsat TM data files come from various 
portions of the Landsat satellite, the TM instrument, and the ground processing 
components.  The level-3p Landsat TM images were supplied to the BOREAS by the 
CCRS.

7.3.5 Data Range

The maximum range of scaled at-sensor radiance values in each level-3p Landsat 
TM image band is limited from 0 (zero) to 255 so that the values can be stored 
in a single 8-bit (byte) field.


7.4 Sample Data Record

Sample data format shown in the companion data definition file (ltm_ii3p.def).

8. Data Organization

8.1 Data Granularity

The smallest unit of data for level-3p Landsat TM imagery is a full TM scene.  
The individual level-3p Landsat TM images from CCRS are stored in either a band 
sequential (BSQ) or band interleaved by line (BIL) form.  General information on 
these two formats is provided in Section 8.2.  Detailed information on these 
formats can be obtained from the CCRS document referenced in Section 17.1.  Most 
of the BOREAS level-3p Landsat TM image products contain only three of the seven 
bands.  BORIS used these three-band images to evaluate the processing of the 
level-3s images to level-3a products.  As such, the number and size of the BIL 
and BSQ files for the three-band images are less than the full seven-band image 
format described below.

8.2 Data Format(s)

The data files consists numerical and character fields of varying length 
separated by commas. The character fields are enclosed with a single apostrophe 
marks. There are no spaces between the fields. Sample data format shown in the 
companion data definition file (ltm_ii3p.def).

8.2.1 Band Sequential Format

The files associated with a BSQ TM scene are as follows:

File 1   volume directory
File 2   leader file band 1
File 3   TM band 1
File 4   trailer file band 1
File 5   leader file band 2
File 6   TM band 2
File 7   trailer file band 2
File 8   leader file band 2
File 9   TM band 2
File 10  trailer file band 2
              .         .
and so on...
              .         .
File 21  TM band 7
File 22  trailer file band 7
File 23  null volume file

If there are multiple scenes on a tape, the next scene would occupy files 24-46, 
23 files exactly as above.  Up to four TM scenes (92 files) are contained on one 
8 mm tape.  Multiple volume directory files are contained on one tape media 
because the 8 mm tapes were generated from copying the original 9-track tapes, 
and each one of those had its own volume directory.  Each image file in BSQ 
format contains image data for one spectral band.

A three-band level-3p TM scene would contain a total of 11 files as described 
above; however the bands included in the three-band subset are TM bands 3, 4, 
and 5.

8.2.1.1 BSQ Leader Files

The contents of leader files which have been defined in detail by the Landsat 
Ground Station Operations Working Group (LGSOWG) Technical Working Group (LTWG) 
are as follows:
        
File descriptor record;
Scene header record;
Map projection (scene-related) ancillary record;
Radiometric transformation ancillary record.

All leader files contain fixed-length records of 4320 bytes and contain both 
ASCII and binary data.  For specific details, see the CCRS documentation 
referenced in Section 17.1.

8.2.1.2 BSQ Imagery File

The BSQ image files have 5729 records; each record contains 7020 bytes.  The 
first record in this file is a header record, followed by 5728 image records.

The contents of the scene header record are specified by LTWG standards and 
include information relating to the mission, sensor parameters, processing 
options, and geometric parameters for the sensor.

Each image record contains 32 bytes of prefix data, 6920 bytes of image data, 
and 68 bytes of suffix data (32 + 6920 + 68 = 7020).  Each image is oriented so 
that pixel 1, line 1 is in the upper left-hand corner (i.e., northwest) of the 
screen display.  Pixels and lines progress left to right and top to bottom so 
that pixel n, line n is in the lower right-hand corner.

8.2.1.3 BSQ Trailer File

The trailer file contains information associated with the image data that was 
not always available before writing the image data, such as data and recording 
quality and data summaries.  Each trailer file contains a file descriptor record 
and trailer records for all bands of imagery in the associated imagery file.  
All trailer files contain fixed-length records of 4320 bytes and contain both 
ASCII and binary data.  For specific details see the CCRS documentation 
referenced in Section 17.1.

8.2.2 Band Interleaved by Line Format

At this time, no level-3p Landsat TM data were supplied in BIL format.

9. Data Manipulations

9.1 Formulae

9.1.1 Derivation Techniques and Algorithms

Not applicable.

9.2 Data Processing Sequence

9.2.1 Processing Steps

BORIS staff processes a level-3p Landsat TM image by :

1) Extracting pertinent header information from the level-3p image product and 
   writing it to a disk file,
2) Reading the information in the disk file and loading the on-line data base 
   with needed information.

Some cloud cover and image quality assessment information is generated when 
BORIS staff processed the level-3p images to level-3a products.  This 
information is entered into the BORIS data base but is not included with the 
images on tape.  To obtain this information, see the inventory file included on 
the CD-ROMs or see Section 15.1.

9.2.2 Processing Changes

None.

9.3 Calculations

9.3.1 Special Corrections/Adjustments

None.

9.3.2 Calculated Variables

None.

9.4 Graphs and Plots

None.

10. Errors

10.1 Sources of Error

Errors could arise in the acquired imagery from location inaccuracy, distortion 
of lengths, anisomorphism, the instrument's local coherence, and multispectral 
registrability. Other errors could arise from inherent radiometric imperfections 
of the sensors.

10.2 Quality Assessment

10.2.1 Data Validation by Source

Whatever the processing level, the geometric quality of the image depends on the 
accuracy of the viewing geometry.

Spectral errors could arise from image-wide signal-to-noise ratio, saturation, 
cross-talk, spikes, and response normalization caused by change in gain.

10.2.2 Confidence Level/Accuracy Judgment

Assessment of accuracy of the absolute radiometric constants is difficult. The 
uncertainties in prelaunch and postlaunch updates of the absolute calibration 
constants are nominally specified to be less than 10%. A root mean square (rms) 
summing of known errors in the prelaunch calibration suggests that this may be a 
reasonable estimate of overall uncertainty in the prelaunch calibration.

There are also known, but as yet uncorrected, effects associated with 
temperature-dependence of the TM internal calibrator that may be contributing to 
apparent discontinuous changes at launch and to the continuous changes of gain 
while in orbit. Additional uncertainties for exoatmospheric reflectances are 
probably less than 2% in the visible/near-infrared and less than 5% in the 
shortwave infrared portion of the spectrum as judged by the current differences 
in estimates of the solar irradiance.

The level-3p Landsat TM images have had geometric corrections applied so that 
the spatial resolution for all pixels is 30 m in all bands.  These level-3p 
images have a high level of internal spatial integrity and have had ground 
control applied to give a high level of accuracy to the supplied geographic 
coordinates.

10.2.3 Measurement Error for Parameters

None given.

10.2.4 Additional Quality Assessments

The reproducibility of ground measurements at White Sands, NM, at times of 
Landsat TM overpass to about 5% for 5 dates for Bands 1-4 suggests a potential 
for monitoring sensor change for the whole system with time.

Images are screened for level of cloud cover before BORIS processing.

10.2.5 Data Verification by Data Center

BORIS used developed software to extract information for logging the data into a 
relational data base.  In addition, the software read through the records of the 
files checking for proper record sizes.

11. Notes

11.1 Limitations of the Data

None.

11.2 Known Problems with the Data

To date, the following discrepancies/problems have been noted in the data:

o Some header files refer to Level-1 rather than Level-3 or to L1P rather than 
  L3P since they were created by software prior to BORIS finalization of data 
  categories.

11.3 Usage Guidance

None.

11.4 Other Relevant Information

o None

12. Application of the Data Set

The level-3a Landsat TM images are useful for anyone interested in high spatial 
resolution imagery over the entire NSA or SSA.

13. Future Modifications and Plans

None.

14. Software

14.1 Software Description

BORIS developed software and command procedures to :

1) Extract header information from level-3p Landsat TM images on tape and
   writing it to ASCII files on disk,
2) Read the ASCII disk file and logging the level-3 Landsat TM image products
   into the Oracle data base tables.
3) Convert between the geographic systems of (latitude, longitude), UTM 
   (northing, easting), and BOREAS (x,y) grid locations.

The software mentioned under items 1 to 5 is written in C and is operational on 
VAX 6410 and MicroVAX 3100 systems at GSFC.  The primary dependencies in the 
software are the tape input/output (I/O) library and the Oracle data base 
utility routines.

The geographic coordinate conversion utility (BOR_CORD) has been tested and used 
on Macintosh, IBM PC, VAX, Silicon Graphics, and Sun workstations.

14.2 Software Access

All of the described software is available upon request.  BORIS staff would 
appreciate knowing of any problems discovered with the software, but cannot 
promise to fix them.

15. Data Access

15.1 Contact Information

Ms. Beth Nelson
NASA GSFC
Greenbelt, MD  
(301) 286-4005
(301) 286-0239 (fax)
beth@ltpmail.gsfc.nasa.gov

15.2 Data Center Identification

See 15.1

15.3 Procedures for Obtaining Data

Users may place requests by telephone, electronic mail, or FAX.

15.4 Data Center Status/Plans

The level-3p Landsat TM image data are available from the Earth Observing System 
Data and Information System (EOS-DIS) Oak Ridge National Laboratory (ORNL) 
Distributed Active Archive Center (DAAC).  The BOREAS contact at ORNL is:

ORNL DAAC User Services
Oak Ridge National Laboratory
(865) 241-3952
ornldaac@ornl.gov
ornl@eos.nasa.gov

Although the BOREAS level-3p Landsat TM images are being held in a public 
archive, copyright restrictions limit the distribution and use of the data.  The 
BOREAS CD-ROM series is publicly available and contain some of the level-3a 
Landsat TM images.  However, other Landsat TM image products in the collection 
are only available to official BOREAS project personnel.  Please contact the 
ORNL DAAC User Services office to get the most recent information.

16. Output Products and Availability

16.1 Tape Products

The level-3a Landsat TM data can be made available on 8-mm, Digital Archive Tape 
(DAT), or 9-track tapes at 6250 or 1600 Bytes per Inch (BPI).

Although the BOREAS level-3p Landsat TM images are being held in a public 
archive, copyright restrictions limit the distribution and use of the data.  The 
BOREAS CD-ROM series is publicly available and contain some of the level-3a 
Landsat TM images.  However, other Landsat TM image products in the collection 
are only available to official BOREAS project personnel.  Please contact the 
ORNL DAAC User Services office (see Section 15.4) to get the most recent 
information.

16.2 Film Products

None.

16.3 Other Products

Although the image inventory is contained on the BOREAS CD-ROM set, the actual 
level-3p Landsat TM images are not.  See section 15 for information about how to 
obtain the data.

17. References

17.1 Platform/Sensor/Instrument/Data Processing Documentation

Multispectral Scanner System for ERTS. 1972. HS324-5214. Hughes Aircraft 
Corporation. Santa Barbara, CA.

Standard Landsat 4, 5 and 6 TM CCT Format Specification, DMD-TM #82-249E. 1991. 
Canada Centre for Remote Sensing (CCRS), Surveys, Mapping and Remote Sensing 
Sector, Energy, Mines and Resources, Canada.
      
User's Guide for Landsat Thematic Mapper Computer-Compatible Tapes. 1985. Earth 
Observation Satellite Company. Lanham, MD.

17.2 Journal Articles and Study Reports

Byrne, G.F., P.F. Crapper, and K.K. Mayo. 1980. Monitoring land-cover change by 
principal component analysis of multitemporal Landsat data. Remote Sens. 
Environ. 10:175-184.
      
Chavez, P.C., S.C. Guptill, and J.A. Bowell. 1984. Image processing techniques 
for Thematic Mapper data. Technical Papers. 50th Annual Meeting of the Amer. 
Soc. of Photogr. 2:728-743.
      
Crist, E.P. and R.C. Cicone. 1984. Application of the Tasseled Cap concept to 
simulated Thematic Mapper data. Photogr. Engr. & Rem. Sens. 50:343-352.
      
Engel, J.L. and O. Weinstein. 1983. The Thematic Mapper: An Overview. IEEE 
Transactions on Geoscience and Remote Sensing. GE-21:258-265.
      
Friedel, J. 1992. System description of the Geocoded Image Correction System. 
Report GC-MA-50-3915, MacDonald Detwiller and Associates, Richmond, B.C. 
      
Holmes, R.A. 1984. Advanced sensor systems: Thematic Mapper and beyond. Remote 
Sens. Environ. 15:213-221.
      
Kanemasu, E.T., J.L. Heilman, J.O. Bagley, and W.L. Powers. 1977. Using Landsat 
data to estimate evapotranspiration of winter wheat. Environmental Management. 
1:515-520.
      
Lulla, K. 1983. The Landsat satellites and selected aspects of Physical 
Geography. Progress in Phy. Geogr. 7:1-45.
      
Malila, W.A. 1985. Comparison of the Information Contents of Landsat TM and MSS 
Data. Photogrammetric Engineering and Remote Sensing. 51:1449-1457.
      
Pollock, R.B. and E.T. Kanemasu. 1979. Estimating leaf-area index of wheat with 
Landsat data. Remote Sens. Environ. 8:307-312.
      
Robinov, C.J. 1982. Computation with physical values from Landsat digital data. 
Photogr. Engr. & Rem. Sens. 48:781-784.
      
Salomonson, V.V. 1984. Landsat 4 and 5 status and results from Thematic Mapper 
data analysis. Proceedings. Machine Processing of Remotely Sensed Data 
Symposium. Lab. for the Applications of Remote Sensing. West Lafayette, IN. p 
13-18.
      
Satterwhite, M.B. 1984. Discriminating vegetation and soils using Landsat MSS 
and Thematic Mapper bands and band ratios. Technical Papers. 50th Annual Meeting 
of the Amer. Soc. of Photogr. 2:479-485.
      
Sellers, P. F. Hall. 1994. Boreal Ecosystem-Atmosphere Study: Experiment Plan. 
Version 1994-3.0, NASA BOREAS Report (EXPLAN 94). 

Sellers, P. F. Hall. 1996. Boreal Ecosystem-Atmosphere Study: Experiment Plan. 
Version 1996-2.0, NASA BOREAS Report (EXPLAN 96). 

Sellers, P. J., F. G. Hall, R. D. Kelly, A. Black, D. Baldocchi, J. Berry, M. 
Ryan, K. J. Ranson, P. M. Crill, D. P.  Lettenmaier, H. Margolis, J. Cihlar, J. 
Newcomer, D. Fitzjarrald, P. G. Jarvis, S. T. Gower, D. Halliwell, D. Williams, 
B. Goodison, D. E. Wickland, and F. E. Guertin. 1997. BOREAS in 1997: Experiment 
Overview, Scientific Results and Future Directions. Journal of Geophysical 
Research 102 (D24): 28, 731-28,770.

Sellers, P., F. Hall, and K.F. Huemmrich. 1996. Boreal Ecosystem-Atmosphere 
Study: 1994 Operations. NASA BOREAS Report (OPS DOC 94). 

Sellers, P., F. Hall, and K.F. Huemmrich. 1997. Boreal Ecosystem-Atmosphere 
Study: 1996 Operations. NASA BOREAS Report (OPS DOC 96). 

Sellers, P., F. Hall, H. Margolis, B. Kelly, D. Baldocchi, G. den Hartog, J. 
Cihlar, M.G. Ryan, B. Goodison, P. Crill, K.J. Ranson, D. Lettenmaier, and D.E. 
Wickland. 1995. The boreal ecosystem-atmosphere study (BOREAS): an overview and 
early results from the 1994 field year. Bulletin of the American Meteorological 
Society. 76(9):1549-1577. 

Singn, A.N. and R.S. Dwived, 1986. The Utility of Landsat Imagery as an Integral 
Part of the Data Base for Small Scale Soil Mapping. Int. J. Remote Sensing. 
7:1099-1108.
      
Taranik, J.V. 1978. Characteristics of the Landsat Multispectral Data System. 
U.S. Dept. of the Interior. Open File Report File Report 78-187. Sioux Falls, 
SD.
      
Thompson, D.R., and O.A. Wehmanen. 1980. Using Landsat digital data to detect 
moisture stress in corn-soybean growing region. Photogr. Engr. & Rem. Sens. 
46:1082-1089.
      
Williams, D.L., J.R. Irons, B.L. Markham, R.F. Nelson, D.L. Toll, R.S. Latty, 
and M.L. Stauffer. 1984. A statistical evaluation of the advantages of Landsat 
Thematic Mapper data in comparison to Multi-spectral Scanner data. IEEE 
Transactions on Geoscience and Remote Sensing. GE-22.

17.3 Archive/DBMS Usage Documentation

None.

18. Glossary of Terms

None.

19. List of Acronyms

    ASCII   - American Standard Code for Information Interchange
    BIL     - Band Interleaved By Line
    BOREAS  - BOReal Ecosystem-Atmosphere Study
    BORIS   - BOREAS Information System
    BPI     - Bytes per inch
    BSQ     - Band sequential
    CCRS    - Canada Centre for Remote Sensing
    CCT     - Computer Compatible Tape
    CD-ROM  - Compact Disk-Read-Only Memory
    DAAC    - Distributed Active Archive Center
    DAT     - Digital Archive Tape
    DN      - Digital Number
    EDC     - EROS Data Center
    EOS     - Earth Observing System
    EOSDIS  - EOS Data and Information System
    EROS    - Earth Resources Observation System
    ERTS    - Earth Resources Technology Satellite
    FOLD    - Federally Owned Landsat Database
    FOV     - Field of View
    FPAR    - Fraction of Photosynthetically Active Radiation
    GICS    - Geocoded Image Correction System
    GSFC    - Goddard Space Flight Center
    IFOV    - Instantaneous Field-of-View
    I/O     - Input/Output
    LAI     - Leaf Area Index
    LGSOWG  - Landsat Ground Station Operations Working Group
    LTWG    - LGSOWG Technical Working Group
    MSS     - Multispectral Scanner
    NAD27   - North American Datum of 1927
    NAD83   - North American Datum of 1983
    NASA    - National Aeronautics and Space Administration
    NE      - Noise Equivalent
    NSA     - Northern Study Area
    ORNL    - Oak Ridge National Laboratory
    PANP    - Prince Albert National Park
    rms     - root-mean-square
    SBRC    - Santa Barbara Research Center
    SSA     - Southern Study Area
    TIPS    - Thematic Mapper Image Processing System
    TM      - Thematic Mapper
    URL     - Uniform Resource Locator
    UTM     - Universal Transverse Mercator

20. Document Information

20.1 Document Revision Dates

    Written:         12-Apr-1995
    Last Updated:    19-Mar-1998

20.2 Document Review Dates
     BORIS Review:   20-Feb-1998
     Science Review: 27-Feb-1998

20.3 Document ID

20.4 Citation

The Landsat TM level-3p images were acquired by CCRS and processed by RADARSAT 
International under an agreement with CCRS.  

20.5 Document Curator

20.6 Document URL

Keywords
LANDSAT
LANDSAT THEMATIC MAPPER
EMITTED RADIATION
REFLECTED RADIATION
LANDSAT_TM_L3P.doc
04/17/98