This table was created from the FSDBA.GC_PASTURES_V Oracle table and contains road information.
This table contains Range Pasture attribute information such as RMU type, RMU Status, Cattle, Sheep, Goats, Horses, Mules, etc. which can be displayed in ArcMap by using table join.and the Allotments feature class. The link field is RMU_CN.
GDB - This table was created by connecting to IWeb using the IWeb Local Table Manager Microsoft Access Tool. The IWeb table was initially saved as an MS Access table. The IWeb data was then loaded into a new blank geodatabase table that was created in ArcCatalog.
publication date
Comparison with other data sets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in photointerpretation, rounding of decimal coordinates during conversion, and mapping conventions over time. Any hardcopies utilizing these data sets shall clearly indicate their source. If the user has modified the data in any way they are obligated to describe the types of modifications they have performed on the hardcopy map. The user specifically agrees not to misrepresent these data sets, nor to imply that changes made were approved by the USFS.
344 South Cortez Street
US Forest Service CFF (Cartographic Feature File) / TVA Core Data, USFS Region 3
Accuracy and completeness of the attributes was checked by manually comparing hardcopy plots, on-screen review, and reporting method with the source materials.
Table Data
N/A
Forest Service Corporate Database at Kansas City - I-Web
Internal feature number.
ESRI
344 South Cortez Street
The USDA Forest Service manages these data for planning purposes, not necessarily for actual on the ground implementation. The USFS is in no way condoning or endorsing the actual on the ground implementation of these data. It is the sole responsibility of the user to determine whether or not the data are suitable for the intended purpose. It is also the obligation of the user to apply these data in an appropriate and conscientious manner. The USFS provides no warranty, nor accepts any liability occurring from the use of these data.
344 South Cortez Street