Filters: Tags: Roads (X)
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This dataset is intended to assess the road density within 100 meters of mangrove swamps and saltwater marshes. Road density was calculated by dividing the road lengths, in kilometers, by the buffer area, in kilometers, with which they intersected. Densities are then reported to the hydrologic units code (HUC) 12 in an effort to better assess run-off potential and hydrologic effects on mangrove swamp and saltwater marsh.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: HUC 12,
assessment,
indicator,
landscape conservation,
roads,
These are all of the roads from the U.S. Census Bureau 2000 TIGER files. Most of the roads were digitized from 1:100,000 scale maps by the US Geological Survey. Roads added to the database after 1990 were digitized by the Census Bureau from various sources. Some roads that exactly follow county lines exist twice in the TIGER database -- once for each county that they appear in. One of each of these pairs has been removed from the version of this data set that is on the SDE server at the State Library and the statewide shapefile on the web site. The individual county shapefiles on the web site are also missing these duplicate roads, so most county shapefiles will not have all of the roads that fall exactly on...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: MT,
Montana Roads,
Roads
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
Ce theme regroupe toutes les routes publiques du Gabon. Cette couche a ete digitalisee sur fonds de cartes topographiques au 1:200 000. Cette couche SIG est le resultat du travail du Projet Foret et Environnement (PFE-1999/2000) et de l'Institut National de Cartographie (INC) qui l'a mise-a-jour et modifiee en 2003 dans le cadre de la production de la "BD2". Cette couche a ete legerement modifie (projection) pour la production de l'Atlas Forestier Interactif du Gabon - Version Pilote. This dataset collects all of the public roads of Gabon. These data were digitized from a 1:200,000 topographic map. This is the work of the Forest and Environment Project (PFE 1999/2000) and the National Institute of Cartographie...
The Transportation map service allows desktop GIS users to map transportation datasets for Southeast Alaska.
When reviewing alternatives for the establishment of "working areas" within the Clearwater Basin, considering a 300 meters buffer of roads at various operational maintenance levels can be helpful.
This dataset depicts inventoried and proposed areas on National Forests in Southern California. This dataset includes areas not represented in the USFS Inventoried Roadless Areas dataset for the US, due to pending judicial decisions regarding designatino of roadless areas. This dataset was developed during the 2005 Forest Planning Revision process. This is an update of the previous RARE II information, which now is considered a historical record for the affected forests.
Image of lenth of roads per 1 km-square pixel, derived from streets and roads layers of Census Bureau TIGER 98 files. Pixel values are sum lengths of streets and major roads (including interstate highways) in units of meters. For more information about the TIGER files see the following url: http://www.census.gov/geo/www/tiger/
Tags: road density,
roads
Roads and freeways in San Diego County to be used for the San Diego Conservation project. These are a selection of roads that were relevant as landmarks for this projects and do NOT include all roads in San Diego County. These data were extracted from data downloaded from the SANDAG website.
This dataset contains all National Forest Inventoried Roadless Areas (IRAs) for the lower 48 states, including Puerto Rico. Alaska is maintained separately. The IRA data was originally submitted to GSTC by all national forests through their Regional Offices for the Forest Service's Roadless Area Conservation Initiative. The data was consolidated at the GSTC and used in the Draft Environment Impact Statement. Between the draft and final stages of the Environmental Impact Statement, the data was updated by the forests to reflect any corrections to Inventoried Roadless Areas that were based on existing forest plans and administrative record. The data was also supplemented to include Special Designated Area information...
Transportation for Wyoming, including interstates, state and county highways, neighborhood and connecting roads, jeep trails, and other road and trail types, developed by the US Census at 1:100,000-scale. The Wyoming Water Resources Lab has tiled this information together by 1:100,000 quadrangles for Wyoming and created an attribute table which contains a description of the primary road/trail attribute, CFCC. A subset of this dataset is also available, including only federal and state highways for simplified display purposes. In order to reduce the size of this subset, the line segments were dissolved to remove unecessary segments. The data is available (both statewide and tiles) in ARC/INFO export file format and...
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes...
Types: Downloadable;
Tags: Address Range,
BLM,
Bureau of Land Management,
County or equivalent entity,
DOI,
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB tha begin with "S". This includes...
Types: Downloadable;
Tags: Address Range,
BLM,
Bureau of Land Management,
County or equivalent entity,
DOI,
The TIGER Roads dataset was clipped to the Utah and Colorado Plateau Ecoregion study site boundary by Conservation Biology Institute.The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features"...
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes...
Types: Downloadable;
Tags: Address Range,
BLM,
Bureau of Land Management,
County or equivalent entity,
DOI,
This data release contains spatial data on the location, number, size and extent of energy-related surface disturbances on the Colorado Plateau of Utah, Colorado, and New Mexico as of 2016. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, and 2) polylines of roads derived from the U.S. Census Bureau TIGER/Line Shapefile, supplemented with additional oil and gas access roads digitized from aerial imagery. Pad polygons and road segments are attributed with a "spud year" date based on spud information from the nearest well point. Spudding is the process of beginning to drill a well in the oil and gas industry, and the spud year is a close approximation...
This document is the final report of the project that initiated the North Atlantic Aquatic Connectivity Collaborative (NAACC), funded by the North Atlantic Landscape Conservation Cooperatuive (LCC). Contents consist of:IntroductionProject Overview and StructureDeveloping a Regional Road-Stream Crossing Assessment ProtocolPrioritizing for Field SurveysDatabase and Data CollectionData Quality and TrainingClassification and Scoring SystemsNAACC Regional NetworkNext StepsQuarterly Progress Report: Summary by TaskReferencesAcknowledgmentsAppendices
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