Ground Transportation Linear Features (GTLF) within Alaska

Metadata Updated: November 12, 2020

This feature dataset contains one polyline feature class, which includes lines that define BLM Ground Transportation Linear Features. A linear feature for ground transportation includes roads, primitive roads, primitive routes, trails, temporary routes, and linear disturbances.

The Ground Transportation Linear Feature (GTLF) data standard provides a national geospatial data standard of the ground transportation linear features in BLM’s Enterprise GIS (E-GIS). A national BLM GTLF data standard is essential for collecting the landscape-scale data necessary to identify management opportunities and challenges that may not be evident when managing smaller land areas. GTLF data not only serve the crucial function of improving BLM transportation planning, but is also invaluable to numerous other BLM programs affected by transportation (e.g. water and air quality, wildlife habitat fragmentation, engineering, realty, cultural resources).

This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Implementation Guide represents the official national dataset from which this dataset was derived.

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from DOI Open Data

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Bureau of Land Management
Unique Identifier Unknown
Identifier c5c7119396357f7d
Data Last Modified 2020-01-01T07:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:04
Schema Version
Metadata Type geospatial
Program Code 010:000
Source Datajson Identifier True
Source Hash 5d72fa38bde5185e2e2e51b96c610c22e3a4e86c
Source Schema Version 1.1
Spatial -178.7695,51.3443,-129.6387,71.5805

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