BOREAS Forest Cover Data Layers over the SSA-MSA in Raster Format

Summary

This data set was prepared by BORIS staff by processing the original vector data 
into raster files.  The original data were received as ARC/INFO coverages or as 
export files from SERM.  The data include information on forest parameters for 
the BOREAS SSA MSA.  The data are stored in binary, image format files.

Note that the binary files of this data set on the BOREAS CD-ROMs have been 
compressed using the Gzip program.  See section 8.2 for details.

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 Forest Cover Data Layers over the SSA-MSA in Raster Format

1.2 Data Set Introduction

The forest cover data layers were created in raster form from the vector polygon 
forest cover data provided by Saskatchewan Environment and Resource Management, 
Forestry Branch - Inventory Unit (SERM-FBIU).  The forest cover data layers 
created for this product are species cover, canopy closure, height, and year.

1.3 Objective/Purpose

These data are provided as part of the BOReal Ecosystem-Atmosphere Study 
(BOREAS) Staff Science Geographical Information system (GIS) Data Collection 
Program, which included the collection of pertinent map data in both hard copy 
and digital form.  This data set, originally provided as vector polygons with 
attributes, has been processed to provide raster files that can be used for 
modeling or for comparison purposes.

1.4 Summary of Parameters

The parameters that are in the raster data include species association (cover 
type), crown closure, height class, and decadal year of stand origin or 
disturbance.

1.5 Discussion

Based on a review of the data and discussions with SERM personnel and BOREAS 
scientists, BOREAS Information System (BORIS) staff processed the original 
vector data into raster data layers.  A full description of the data layer 
derivations is given in Section 9.

1.6 Related Data Sets

BOREAS Forest Cover Data Layers of the NSA-MSA in Raster Format

SERM Forest Cover Data Layers of the SSA in Vector Format

SERM Forest Fire Chronology of Saskatchewan in Vector Format

SERM Forest Cover Data of Saskatchewan in Vector Format

Prince Albert National Park Forest Cover Data in Vector Format

2. Investigator(s)

2.1 Investigator(s) Name and Title

BOREAS Staff

2.2 Title of Investigation

BOREAS Staff Science GIS Data Collection Program

2.3 Contact Information

Contact 1
----------
Fern Gruszka
Saskatchewan Environment and Resource Management
Prince Albert, SK
CANADA 
(306)953-2360
gruszka@larix.derm.gov.sk.ca

Contact 2
----------
Jaime Nickeson
NASA/GSFC
Greenbelt, MD 
(301) 286-3373
(301) 286-0239 (fax)
Jaime.Nickeson@gsfc.nasa.gov

3. Theory of Measurements

SERM-FBIU maintains in its inventory unit a GIS of forest inventory information 
for Saskatchewan.  This inventory is maintained primarily for use by forest 
managers for silvicultural purposes, and it contains a wealth of information 
that can be of use in Earth resources analyses and ecosystem modeling either in 
its raw form or as a derived product such as this one.

4. Equipment

4.1 Sensor/Instrument Description

The original polygon data were digitized from 1:12,500-scale forest cover maps.  
The maps were derived from black-and-white 1:12,500-scale infrared aerial 
photography and field reconnaissance notes.  No information is known about the 
original digitizing equipment or procedures and criteria used in the digitizing 
process.

4.1.1 Collection Environment

These original vector data were acquired as ARC/INFO vector coverages or in 
ARC/INFO export format.  The data were produced by SERM-FBIU.  No specific 
information other than the scale of the resulting photography is known about the 
aircraft flights or the equipment that was used to collect the aerial 
photography.

4.1.2 Source/Platform

Unknown.

4.1.3 Source/Platform Mission Objectives

Unknown.

4.1.4 Key Variables

The key variables of this data set are species cover, crown closure, height 
class, and decadal year of stand origin or disturbance.

4.1.5 Principles of Operation

Unknown.

4.1.6 Sensor/Instrument Measurement Geometry

Unknown.

4.1.7 Manufacturer of Sensor/Instrument

Unknown.

4.2 Calibration

Unknown.

4.2.1 Specifications

Unknown.

4.2.1.1 Tolerance

Unknown.

4.2.2 Frequency of Calibration

Unknown.

4.2.3 Other Calibration Information

None.

5. Data Acquisition Methods

SERM personnel created the forest cover maps by transcribing information from 
photo-interpreted 1:12,500-scale black-and-white infrared aerial photography and 
field reconnaissance notes.

6. Observations

6.1 Data Notes

None.

6.2 Field Notes

The field notes used in compiling the original forest cover data are available 
from SERM-FBIU.  See Section 2.3.

7. Data Description

7.1 Spatial Characteristics

7.1.1 Spatial Coverage

This data set covers a portion of the BOREAS Southern Study Area (SSA) and 
encompasses most of the associated SSA-Modeling Sub-Area (MSA).

The corners of the actual raster data files are:

                          BOREAS    BOREAS         West      North
        Point             X (km)    Y (km)      Longitude  Latitude
    ---------------------------------------------------------------
       Upper Right       425.160    360.840     104.49043  54.06416
       Upper Left        381.870    360.840     105.14995  54.09860
       Lower Left        381.870    326.490     105.19373  53.79137
       Lower Right       425.160    326.490     104.53910  53.75717

These locations represent the outside corners of the corner pixels.

7.1.2 Spatial Coverage Map

Not available.

7.1.3 Spatial Resolution

These data were gridded to a cell size of 30 m.

7.1.4 Projection

The area mapped is projected in the BOREAS grid projection, which is based on 
the ellipsoidal version of the Albers Equal-Area Conic (AEAC) projection.  The 
projection has the following parameters:

Datum:      North American Datum 1983 (NAD83)
Ellipsoid:  Geodetic Reference System GRS80 or WGS84
Origin: 111.000 West Longitude
         51.000 North Latitude
Standard Parallels:  52 30' 00" N
                     58 30' 00" N
Units of Measure:    kilometers

7.1.5 Grid Description

The data are gridded in 30-m intervals based on the ellipsoidal version of the 
AEAC projection with standard parallels of 52 30' N and 58 30' N and a lower 
left origin of 51 N and 111 W.

7.2 Temporal Characteristics

Most of the data used for this product were acquired by BORIS in 1993.  The maps 
from which the data are derived are completely reinventoried on a 10 to 20-year 
cycle by SERM, except for disturbed areas, which are updated annually.  BORIS 
acquired the data in 1993; the forest cover layers have not yet had any 
inventory updates.

7.2.1 Temporal Coverage

These maps were produced from aerial photography taken as recently as 1988.  The 
data base maintained by SERM is updated as needed based on fires, cutting, or 
other disturbances. 

7.2.2 Temporal Coverage Map

Not available.

7.2.3 Temporal Resolution

As noted, the original maps are completely reinventoried by SERM personnel on a 
10- to 20-year cycle, except for disturbed areas, which are updated annually.  
The photographs and other information used to create the original vector data 
set most likely covered the 10- to 20-year period prior to 1988 and any updates 
made from then to 1993, when the data were acquired.

7.3 Data Characteristics

7.3.1 Parameter/Variable

Species Association (cover type)
Crown Closure
Height Class
Year of Stand Origin or Disturbance

7.3.2 Variable Description/Definition

Species Association  - The vegetative species association covering the given 
area as derived by BORIS personnel.  See Section 9 for derivation details.

Crown Closure:  The crown closure category specified in the original data set. 
See Section 9 for derivation details.

Height Class: The height class of the vegetation covering the area. See Section 
9 for class details.

Year of Stand Origin or Disturbance: The decade in which the vegetation in the 
area originated or the year it was last disturbed. See Section 9 for coding 
details.

7.3.3 Unit of Measurement

The values in each of the data layers are described as follows:

 SPECIES ASSOCIATION (COVER TYPE)

Binary    Number
value    in file      Definition
-----    -------   -------------------
    0     317185   border pixels
   11       3415   White Spruce (WS)
   12     169411   Black Spruce (BS)
   13     171532   Jack Pine (JP)
   14      10126   Tamarack (TL)
   21     202620   Spruce/Pine
   31      24728   Mix Spruce Fir/Broadleaf
   32     156003   Mix Jack Pine/Broadleaf
   51      23902   Mix Broadleaf/Spruce-Fir
   52      48546   Mix Broadleaf/Jack Pine
   71      12079   Aspen
  101     322405   treed muskeg
  103      58898   clear muskeg
  105      26976   brushland
  107      12180   clearing 
  109      23129   burn-over (nonprod) 
  112      17638   disturb, cut or burn
  113       1100   disturb, JP regeneration 
  118         30   experimental area
  121        959   flooded land
  122      49373   water

     CROWN CLOSURE (DENSITY)

Binary    Number
value    in file     definition
-----    -------  ---------------
  0      830069   nonproductive or border pixels
  61      11080   10% < CC <= 30%
  62      93651   30% < CC <= 55%
  63     403725   55% < CC <= 80%
  64     313710   80% < CC
                                   

          HEIGHT CLASS

  value  npixels       definition
  -----  -------  --------------------
     0   830088   nonproductive or border pixels
     5   176609    2.5m < hgt <= 7.5m
    10   248422    7.5m < hgt <= 12.5m
    15   310962   12.5m < hgt <= 17.5m
    20    68612   17.5m < hgt <= 22.5m
    25    17542   22.5m < hgt

          YEAR OF STAND 
      ORIGIN or DISTURBANCE         

value  npixels     definition       
-----  -------  -----------------   
  0    811127   nonproductive or border pixels    
 82        33   1815-1825 Year of stand origin
 83      1378   1825-1835
 84      2496   1835-1845
 85     18158   1845-1855
 86     30086   1855-1865
 87     12824   1865-1875
 88     62706   1875-1885
 89     90075   1885-1895
 90    104530   1895-1905
 91     75163   1905-1915
 92    116326   1915-1925
 93     30494   1925-1935
 94    112734   1935-1945
 95     10165   1945-1955
 96      2283   1955-1965
 97     39688   1965-1975
 98    113392   1975-1985
176       103     1976   Year of disturbance 
177        51     1977
180        51     1980
183         8     1983
184      7232     1984
185      4951     1985
186      6181     1986

7.3.4 Data Source

The original data were acquired in ARC/INFO format from:

Saskatchewan Environment and Resource Management
Forestry Branch - Inventory Unit
800 Central Ave.  
Prince Albert, Saskatchewan
Canada  S6V 6G1   

The original data were gridded into a binary image format for the SSA-MSA by 
BORIS personnel.

7.3.5 Data Range

Species Association                     0  - 122
Crown Closure                           0  -  64
Height Class                            0  -  25
Year of Stand Origin or Disturbance     0  - 186

7.4 Sample Data Record

Not applicable.

8. Data Organization

The raster data are stored on tape as single-byte band-sequential binary files.

8.1 Data Granularity

The smallest amount of obtainable data is the entire data set containing the 
four raster layers and other supporting files.

8.2 Data Format(s)

8.2.1 Uncompressed Data Files

The data files include:

                                        Record      Number of
    File  Description                 Size (Bytes)   Records   Bytes/Pixel
-------------------------------------------------------------------------
      1   Header File                     80             19         N/A
      2   SPECIES COVER                  1443          1145          1
      3   CROWN CLOSURE                  1443          1145          1
      4   HEIGHT                         1443          1145          1
      5   YEAR                           1443          1145          1
      6   AML 1 (calc cover, year)        80             79         N/A
      7   AML 2 (create grid, combine)    80            129         N/A
      8   AMK 3 (reprojection info)       80             10         N/A

The data set consists of eight files.  The first file is the header file which 
contains 80-byte records of American Standard Code for Information Interchange 
(ASCII) characters that describe the general content of the data set.

Files 2 through 5 contain the binary raster data layers.  Each raster layer 
contains 1,443 8-bit (1-byte) values in each of 1,145 lines.

Files 6 through 8 contain ASCII files that provide examples of the type of
ARC Macro Language (AML) files used to create this data set from the original 
vector data.  These files were not intended to be used directly; they are merely
examples of the process undertaken to produce the provided data set.

8.2.2 Compressed CD-ROM Files

On the BOREAS CD-ROMs, files 1, 6, 7, and 8 listed above are stored as ASCII 
text files; however, files 2 - 4 have been compressed with the Gzip compression 
program (file name *.gz).  These data have been compressed using gzip version 
1.2.4 and the high compression (-9) option (Copyright (C) 1992-1993 Jean-loup 
Gailly).  Gzip (GNU zip) uses the Lempel-Ziv algorithm (Welch, 1994) used in the 
zip and PKZIP programs. The compressed files may be uncompressed using gzip (-d 
option) or gunzip.  Gzip is available from many websites (for example, ftp site 
prep.ai.mit.edu/pub/gnu/gzip-*.*) for a variety of operating systems in both 
executable and source code form.  Versions of the decompression software for 
various systems are included on the CD-ROMs.

9. Data Manipulations

The original data were acquired as ARC/INFO export files, one file per 10-km x 
10-km area.  The data were imported into ARC, and attributes of the coverage 
polygons were manipulated within AML scripts to produce new attributes.  The new 
attributes were used as lookup tables for gridding the data, and the separate 
maps were then mosaicked together into one map for each layer/attribute.

The relevant attributes (items) associated with each polygon in the vector data 
are as follows:

    Item   Description 
    SP10   Primary Species #1 (one of 13 possible tree species)
    SP11   Primary Species #2 (same as SP10)
    SP12   Primary Species #3 (same as SP10)
    SP20   Secondary Species #1 (same as SP10) 
    HGT    Height Class (one of 5 classes in 5-m intervals)
    D      Density (crown closure, see below)
    YOO    Decadal Year of Stand Origin
    MLEVEL Management Level (12 rarely used codes for non-forested polygons)
    SYR    Year of Source (year source info. for a polygon was obtained)
    YSP    Year of Silvicultural Activity (also rarely used)
    R1     Regenerating Species 1 (as in SP10, but may not be tree species)
    DIST   Disturbance Type (cut-over or partial cut, by season, or burn-over)
    DYR    Year of Disturbance
    NP     Nonproductive Type (codes to identify all nonforested polygons)

The data layers created for this product were derived from the above attributes 
as follows:

     Raster Layer                 Input Vector Items
     --------------  ------------------------------------------------
     COVER           SA, SP10, SP11, SP12, SP20, MLEVEL, R1, DIST, NP
     CROWN CLOSURE   D
     HEIGHT          HGT
     YEAR            YOO, YSP, DIST, SA, SYR, DYR NP

9.1 Formulae

9.1.1 Derivation Techniques and Algorithms

The species association data use the items listed above to select one of the 18 
species associations as defined by SERM, who provided the data.  The minimum 
size for homogeneous forest stands varies from 1-4 hectares depending upon the 
size (HGT) and economic value of the species.

The crown closure data were created using the D item within the coverages.  This 
item is the average percent crown closure of the forest stand and is assigned to 
one of four classes.  The boundaries of these classes are given in the table in 
Section 8.2.  Values for item D exist only for forested polygons.

The height class data were created from the HGT item within the coverages.  The 
average height of all living trees in the main canopy of the stand is assigned 
to one of five height classes.  The limits of the height classes are given in 
Section 8.2.  Values for item HGT exist only for forested polygons.

The decadal year of origin or disturbance data were derived from a combination 
of the items listed above. In the table in Section 8.2, year of silvicultural 
treatment and year of disturbance are coded similarly.  The ages of productive 
polygons were assigned to decadal classes.  When ages overlap two or more 
classes, the older class is usually chosen.  Values for the year-associated 
items exist only for forested or disturbed polygons.   

9.2 Data Processing Sequence

9.2.1 Processing Steps

Most of the following processing steps were performed in ARC/INFO.

1) New attribute items were added to the attribute files of each coverage to 
store the value that would represent cover, crown closure, and year of stand 
origin.
2) HGT was already a numeric item and could be used directly as a lookup table 
for gridding the height layer.
3) Crown closure was not numeric, but levels were easily converted to a numeric 
item that was used to grid the height layer.
4) New values were assigned to the new cover item using the SERM definition of 
species association, which assigns one of 18 common boreal associations from the 
many possible combinations of the SP10, SP11, and SP12 (only 10 different 
species associations show up in this data set).
5) Management level, regenerating species, disturbance type, and nonproductive 
code were used to assign cover values for nonforested polygons.  
6) To calculate the year item, the year of stand origin item was used for 
forested polygons, and year of disturbance or source year were used for 
nonforested polygons.  
7) The numeric items created for cover and year were then used to grid the 
polygons for those layers.
8) The individual maps that had been gridded were mosaicked using the ARC 
function GRIDINSERT.
9) The resulting Universal Transverse Mecator (UTM) layer maps were reprojected 
in ARC to create the raster images in the BOREAS grid projection.
10) The gridded layers and other information files were written to tape for 
distribution.
11) Copy the ASCII and compress the binary files for release on CD-ROM.

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

There is the possibility of coding errors in the attributes, transcription 
errors from original sample data, and photo-interpretation errors. 

10.2 Quality Assessment

10.2.1 Data Validation by Source

Unknown.

10.2.2 Confidence Level/Accuracy Judgment

The accuracy of the gridding procedure is high.  Some consideration should be 
given to the scale of the data and what will be inferred from it.

10.2.3 Measurement Error for Parameters

Unknown.

10.2.4 Additional Quality Assessments

None.

10.2.5 Data Verification by Data Center

Each gridded image was checked visually to make sure that the gridding procedure 
assigned a digital number (DN) to each attribute value.  The data were also 
checked for gaps of "no data" along the seams of the 10-km x 10-km coverages 
used to compile this product.  

11. Notes

11.1 Limitations of the Data

BORIS acquired these data in 1993; therefore, areas subjected to logging 
activity or other disturbance, such as fire, will appear much different today as 
compared to the forest cover data.  

11.2 Known Problems with the Data

None.

11.3 Usage Guidance

Saskatchewan Parks and Renewable Resources does not accept any liability for 
decisions or action taken on the basis of these data.  

Before uncompressing the Gzip files on CD-ROM, be sure that you have enough disk 
space to hold the uncompressed data files.  Then use the appropriate 
decompression program provided on the CD-ROM for your specific system.

11.4 Other Relevant Information

Saskatchewan Parks and Renewable Resources also maintains stand and stock 
tables, 3P plots, and possibly some permanent sample plots in this area.  Aerial 
photographic prints and negatives are also available.  Contact the agency 
directly if you are interested in such information or if you wish to acquire 
those data. 

12. Application of the Data Set

This data set would provide good reference information for assessing spectral 
image data classification techniques over the area and serve as an initial 
baseline data set for analyzing land cover and vegetation change.

13. Future Modifications and Plans

None.

14.  Software

14.1 Software Description

The Environmental Systems Research Institute (ESRI) ARC/INFO (Version 7.0) 
package was used to perform the data manipulation and processing.  Questions 
about the software should be directed to:  

Environmental Systems Research Institute, Inc.
380 New York Street
Redlands, CA   92373-8100

Gzip (GNU zip) uses the Lempel-Ziv algorithm (Welch, 1994) used in the zip and 
PKZIP commands.

14.2 Software Access

ARC/INFO is a commercial package; contact ESRI for details.

Gzip is available from many websites across the net (for example) ftp site 
prep.ai.mit.edu/pub/gnu/gzip-*.*) for a variety of operating systems in both 
executable and source code form. Versions of the decompression software for 
various systems are included on the CD-ROMs.

15.  Data Access

15.1 Contact  Information

Ms. Beth Nelson
BOREAS Data Manager
NASA GSFC
Greenbelt, MD
(301) 286-4005
(301) 286-0239 (fax)
Elizabeth.Nelson@gsfc.nasa.gov

15.2 Data Center Identification

See Section 15.1.

15.3 Procedures for Obtaining Data

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

15.4 Data Center Status/Plans

As the BOREAS data are processed and sufficiently quality checked, they 
will be available from the Earth Observing System Data and Information 
System (EOSDIS) 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

16. Output Products and Availability

16.1 Tape Products

None.

16.2 Film Products

None.

16.3 Other Products

These data are available on the BOREAS CD-ROM series.

17. References

Lindenas, D. G.  June 1985. Forest Inventory Interpretation and Mapping Manual - 
Specifications for the Interpretation and Mapping of Aerial Photographs in the 
Forest Inventory Section.  Saskatchewan Parks and Renewable Resources  

17.1 Platform/Sensor/Instrument/Data Processing Documentation

ARC/INFO User's Guide (Version 7), 1994. Redlands, CA.

Welch, T.A. 1984, A Technique for High Performance Data Compression, IEEE 
Computer, Vol. 17, No. 6, pp. 8 - 19.

17.2 Journal Articles and Study Reports

Sellers, P.and  F. Hall. 1994. Boreal Ecosystem-Atmosphere Study:  Experiment 
Plan. Version 1994-3.0, NASA BOREAS Report (EXPLAN 94).

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

Sellers, P.and F. Hall. 1997. BOREAS Overview Paper. JGR Special Issue.

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.

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 
(JGR), BOREAS Special Issue, 102(D24), Dec. 1997, pp. 28731-28770.  

17.3 Archive/DBMS Usage Documentation

None.

18. Glossary of Terms

None.

19. List of Acronyms
    AEAC    - Albers Equal-Area Conic
    AML     - ARC Macro Langauge
    ASCII   - American Standard Code for Information Interchange
    BOREAS  - BOReal Ecosystem-Atmosphere Study
    BORIS   - BOREAS Information System
    BS      - Black Spruce
    DAAC    - Distributed Active Archive Center
    DN      - Digital Number
    EOS     - Earth Observing System
    EOSDIS  - EOS Data and Information System
    ESRI    - Environmental Systems Research Institute
    GSFC    - Goddard Space Flight Center
    GIS     - Geographic Information System
    JP      - Jack Pine
    NASA    - National Aeronautics and Space Administration
    NSA     - Northern Study Area
    ORNL    - Oak Ridge National Laboratory
    PANP    - Prince Albert National Park
    SERM    - Saskatchewan Environment and Resource Management
    SSA     - Southern Study Area
    TL      - Tamarack
    URL     - Uniform Resource Locator (a World Wide Web address)
    WS      - White Spruce

20. Document Information

20.1 Document Revision Dates

     Written:         01-Aug-1994
     Last Updated:    28-Jul-1998

20.2 Document Review Dates

     BORIS Review:    15-May-1997
     Science Review: 

20.3 Document ID

20.4 Citation

The original data were provided by SERM-FBIU.  The vector data were processed 
and gridded by BORIS staff.  The contribution of the vector data by SERM and the 
processing of the data by BORIS staff are greatly appreciated.

20.5 Document Curator

20.6 Document URL

Keywords
Forest Cover
Forestry
Forest Inventory
GIS

SSA_For_Cov_Raster.doc
08/18/98