This data set consists of a 1:2 million scale forest cover map for the land area of the Krasnoyarsk Region, Russia. Thirty-two land cover classes are distinguished. These data were digitized from maps of the Atlas of Forests of the USSR (Anon. 1973). This map should be viewed not as a map of actual forest cover but rather as a map of dominant tree species. Very few tree species are defined, and generally, each polygon and color has only one tree species assigned to it.
Unlike other data sets associated with this project, this data set is available only in ArcView shapefile format (vector). A graphic map is also available in JPEG format (see Figure 1). Please read all documentation before using these files.
Figure 1. Forest Cover Map for the Land Area of the Krasnoyarsk Region, Russia
Cite this data set as follows:
Stone, T. A., P. Schlesinger, and V. A. Alexeyev. 2003. RLC Forest Cover of the Krasnoyarsk Region, Russia, 1973. 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/693.
This data set consists of a 1:2 million scale land cover map for the land area of the Krasnoyarsk Region, Russia.
See other Russian Land Cover data sets.
Measuring Changes to Russian Forest Over the Last 25 Years
|Stone, T. A.||email@example.com|
|Alexeyev, Vlady A.||firstname.lastname@example.org|
Variable Description Units Instrument Range Forest Cover Classes Forest cover classes defined in footnote. unitless Atlas of Forests of the USSR (1973) 0 - 115
Forest Cover Classes footnote:
CODE CLASS 0 Unclassified Polygons 1 Scotch Pine 2 Spruce 3 Fir 4 Spruce-Fir 5 Larch 6 Siberian Pine 13 Birch 14 Aspen 15 Nonforest 16 Water 17 Sparse Scotch Pine 19 Sparse Spruce 21 Sparse Larch 22 Sparse Siberian Pine 24 Sparse Birch 26 Sparse Aspen 27 Burned Areas 28 Cutting Areas 29 Off Map 30 Stony, nonforest 33 Mixed Deciduous 38 Map Classification Error 39 Nonforest 40 Sparse Scotch Pine 41 Map Classification Error 98 Spruce-Fir, Spruce Dominant 99 Dwarf Arctic Birch 100 Off Map 115 Nonforest
Future Modifications and Plans:
2. Data Characteristics:
Spatial Coverage:Min. X: -1144310
Max. X: 1636312
Min. Y: -453218
Max. Y: 2354392
In meters from 104.5 degrees E, 56.5 degrees N
Lambert Azimuthal Equal Area
Parameter or Variable:
Please read all companion documentation before using these files: http://daac.ornl.gov/daacdata/russian_land_cover/forest_map_krasnoyarsk/comp/fmap73_kr_readme.txt and http://daac.ornl.gov/daacdata/russian_land_cover/forest_map_krasnoyarsk/comp/fmap73_kr_projection.txt.
Granule Name or Description:
Vector map of forest polygons in the Krasnoyarsk Region (1973). Data are in ArcView shapefile format (compressed).
Sample Data Record:
3. Application and Derivation:
Typical Application of Data:
Regional-, national-, and sub-national-level forest and land use change assessments
Theory of Measurements:
Derivation Techniques and Algorithms:
This data set was derived from six source map sheets. Each sheet size is slightly different from the others because each is on a different page in the Atlas of Forests of the USSR (1973). All of the polygons on the map sheets were digitized, edited, and labeled using the Rootspro(c) Digitizing System. Each map sheet was imported into ArcInfo for UNIX, where it was transformed to real world coordinates using Digital Chart of the World (DCW) and World Vector Shoreline (WVS) vectors for control. Each of the map sheet coverages was reprojected from Equi-Distant Conic projection to Lambert Azimuthal Equal Area projection using ArcInfo's PROJECT command and the parameters below (See Processing Changes). Accurate mosaiking of the map sheets within ArcInfo proved to be less than satisfactory. None of the map sheets had embedded real world coordinates, and fifty control points were used in each case. The subsequent vector coverages was converted into ArcView shapefile format.
Datum : Undefined
Delta WGS84 : 0 0 0
Ellipsoid : Sphere
Radius of sphere: 6370997.0000
Origin long : 104.5
Origin lat : 56.5
false Easting: 0.0
False Northing: 0.0 meters
Graphs and Plots Used in Analysis:
4. Quality Assessment:
Data Usage Guidance:
Errors and Limitations:
Limitations of the Data:
This map should not be viewed as a map of actual forest cover. It should be viewed as as a map of dominant tree species. Very few tree species are defined, and generally, each polygon and color has only one tree species assigned to it. As in other maps, the polygons are discreet entities, tree species categories do not blend into one another. In nature, vegetation types and forms tend to go through gradual transitions from one group of plant species to another. This gradual transition is lost in cartographic products when a line is drawn that separates two units of land cover. Maps that are produced from satellite data are generally raster products that do not define well-bounded polygons and, in a sense, may be more representative of nature.
Known Problems with the Data:
Quality Assessment Activities:
Other Relevant Information about the Study:
5. Acquisition Materials and Methods:
Source or Platform Collection Environment:
Source or Platform Program Management:
Source or Platform Mission Objectives:
Data Collection System:
List of Sensors or Instruments:
Ground Segment Information:
Data Acquisition and Processing:
Latitude Crossing Times:
Sensor or Instrument Descriptions
Principles of Operation:
Sensor or Instrument Measurement Geometry:
Manufacturer of Sensor or Instrument:
Frequency of Calibration:
Other Calibration Information:
Data Acquisition Methods:
These data were digitized from maps of the Atlas of Forests of the USSR (1973).
6. Data Description and Access:
This data set is available from the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
Data Archive Center:
Contact for Data Center Access Information:
Telephone: +1 (865) 241-3952
FAX: +1 (865) 574-4665
Data can be accessed electronically on the ORNL DAAC's anonymous HTTP site or from the DAAC's search and order system. Data files are also available by request from email@example.com.
Reading the Media:
Software and Analyses Tools:
The published reference for the source data is as follows:
Anon. 1973. Atlas of Forests for the Soviet Union, Main Geodetic and Cartographic Organization for the Ministries of the USSR, Moscow, 222 pp.
8. Glossary and Acronyms:
Acronym Definition ASCII American Standard Code for Information Interchange DCW Digital Chart of the World JPEG Joint Photographic Experts Group RMS Root Mean Square WVS World Vector Shoreline
9. Document Information:
Document Review Date: