Description: This dataset is intended for read-only use. The purpose of these data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS specialists, and others.
Description: This dataset is intended for read-only use. This dataset represents survey monuments as point features. These data can be used to determine the status of corner monuments. Where possible, monuments are place at their ground position. If the ground position is not available, monuments are placed at the calculated survey network location (see Corner dataset).The purpose of these data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS specialists, and others.
Description: This dataset is intended for read-only use. This table describes the relationship between the Corner feature class and CornerIdentifier records. The purpose of these data is to provide display, identification, and analysis tools for determining current corner and boundary information for Forest Service managers, GIS specialists, and others.
Description: This dataset is intended for read-only use. This table describes the relationship between Corner features and Monument features. The purpose of these data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS specialists, and others.
Description: This dataset is intended for read-only use. This is a table with information and links to documents related to or describing a land survey corner from a survey, plat, or corner card. This table is intended to be used in a conjunction with the spatial table S_USA.BdySur_LSRS_Corner via a relationship class, allowing users to easily access the information in a SurevyEvent related to a corner. The purpose of these data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS specialists, and others.