The boundaries on this map were matched to the the Prince George's County Property parcel map and as such do not necessarily agree with recent road realignments. Right of ways were removed for simple cartographic representation. Admin boundary with right of ways can be found in the AdministrativeArea Feature data set in SDE.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Structure/MD_CampusFacilities/FeatureServer/3

Aggregate of paved or impervious areas, University of Maryland College Park. Surface types include: Asphalt, brick, concrete, gravel, and stone. Additional data layers integrated with street pavement include: Parking areas and parking lots from the Department of Transportation Services.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Structure/MD_CampusFacilities/FeatureServer/1

Aggregate of paved or impervious areas, University of Maryland College Park. Surface types include: Asphalt, brick, concrete, gravel, and stone. Surface uses include: crosswalk, parking access, service area, street, and traffic circle. Additional data layers integrated with street pavement include: Parking areas and parking lots from the Department of Transportation Services. Parking access - a roadway that goes to a parking lot. Service areas - a parking area with no designated parking spots or temporary spots. This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Structure/MD_CampusFacilities/FeatureServer/0

Maryland has 200+ higher education facilities located throughout the entire State. Maryland boasts a highly educated workforce with 300,000+ graduates from higher education institutions every year. Higher education opportunities range from two year, public and private institutions, four year, public and private institutions and regional education centers. Collectively, Maryland's higher education facilities offer every kind of educational experience, whether for the traditional college students or for students who have already begun a career and are working to learn new skills. Maryland's economic diversity and educational vitality is what makes it one of the best states in the nation in which to live, learn, work and raise a family.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Education/MD_EducationFacilities/FeatureServer/0

Although the State of Maryland has no natural lakes, it has an abundance of created lakes and ponds that are used for wildlife habitat, recreation, water supply, and other reasons. This digital file shows the locations of the largest and most significant lakes, as well as some of the smaller lakes and ponds in the state. Most of the digitized lakes and ponds are greater than 2 acres.These data represents the results of data collection/processing for a specific Maryland Department of Natural Resources activity and indicates general existing conditions. As such, they are only valid for their intended use, content, time, and accuracy specifications. The user is responsible for any application of the data for other than its intended purpose.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Hydrology/MD_Waterbodies/FeatureServer/3

This statewide product was created and will continue to be maintained by the Eastern Shore Regional GIS Cooperative (ESRGC). It's a comprehensive mosaic of the most current LiDAR available for the State of Maryland.The creation and maintenance of this dataset, along with the creation of its services, was funded by the Maryland Department of Information Technology.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Statewide/MD_statewide_aspect_m/ImageServer

The Digital Geologic-GIS Map of the Port Tobacco Quadrangle, Maryland is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (poto_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (poto_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (poto_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (thst_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (thst_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (poto_geology_metadata_faq.pdf). Please read the thst_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Maryland Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (poto_geology_metadata.txt or poto_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. The MD_Surface_Waters Feature Dataset includes 7 feature classes that geospatially depict the surface water bodies of Maryland. These feature classes are being provided so that data from the 2012 Integrated Report of Surface Water Quality can be displayed in geographic form for users of all levels. These different feature classes represent the different assessment unit scales utilized on the 2012 IR - some of which overlap in space. In addition - provided in the attribute tables for the Impoundments - Rivers_Streams - and Tidal_Waters feature classes is the use class designation as specified in COMAR Section 26.08.02.08. More information about these feature classes is contained in the metadata for each feature class. Map Service Link: http://mdewin64.mde.state.md.us/arcgis/rest/services/ MDE_Water_Quality/MD_IntegratedReportSurfaceWaterQuality_2013/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Rooflines of buildings from 2008 Axis Study aerial survey and updated with architectural files and aerial imagery. Original data is from CAD converted to shapefiles. Building outlines are added upon construction completion with field verification.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Structure/MD_CampusFacilities/FeatureServer/2

Computer generated buiilding footprints for Maryland. The methodology for the generation of the building footprints can be found at: https://github.com/Microsoft/USBuildingFootprints. These building footprints should be used a reference only and the geometries are not considered accurate enough to provide detailed estimates related to their location, area, or associated attributes.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_BuildingFootprints/MapServer

These baseline recreational use data will inform planning efforts being undertaken by the Maryland Department of Natural Resources to help inform public access, land acquisition, future planning and decision-making. Collecting data on the variety of ways the Chesapeake waters and surrounding lands are used will help us plan for reducing use conflicts in our coastal waters, maximizing efficiency, and enhancing environmental and economic productivity. Chesapeake Bay waters are used in many ways: commercial fishing, aquaculture, transport, habitat for wildlife, and recreation, among others. With new and expanding coastal and marine uses, as well as Maryland’s growing coastal population, the pressure is mounting to ensure that there is space for both traditional and new uses and that conflicts are minimized. Some mapped human use data exist, but Maryland has limited recreational water use data for the Chesapeake waters. Basic data on how we use our coastal waters was collected by inviting residents and experts to share their knowledge about recreational uses at workshops using geographical information systems technology.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Society/MD_RecreationalUses/FeatureServer/16

This policy is for the State of Maryland and describes Maryland's policy for managing Maryland's ArcGIS Online organization.

Esri ArcGIS Online (AGOL) Feature Layer which provides access to the Maryland Bridge / Structures data product.Maryland Bridge / Structures data consists of point & linear geometric features which represent the geographic location & extent of bridge / structures along roadways throughout the State of Maryland. Maryland Bridge Structures data is owned & maintained by the MDOT SHA Office of Structures (OOS). Maryland Bridge Structures data is used by various transportation business units within MDOT, as well as many other Federal, State, & local government agencies. Maryland Bridge Structures data is key to understanding more about the bridge structures along roadways throughout the State of Maryland. Maryland Bridge / Structures data is updated daily by the MDOT SHA Office of Structures (OOS). Those updates are comprehensively published on a monthly routine basis. For additional information, contact MDOT SHA OIT Enterprise Information Services: Email: GIS@mdot.maryland.gov

Geographic Extent: SANDY_Restoration_DE_MD_QL2 Area of Interest covers approximately 3.096 square miles. Lot #5 contains the full project area Dataset Description: The SANDY_Restoration_DE_MD_QL2 project called for the Planning, Acquisition, processing and derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of State Plane Zone Maryland (1900), NAD83, feet and vertical datum of NAVD1988 (GEOID12A), feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 3842 individual 1500m x 1500m tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 1500m x 1500m schema, and Breaklines in ESRI shapefile format. Ground Conditions: LiDAR was collected in Winter 2013 / Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 78 QA control points and 99 Land Cover control points that were used to calibrate the LiDAR to known ground locations established throughout the SANDY_Restoration_DE_MD_QL2 project area.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Dorchester/MD_dorchester_slope_m/ImageServer

This Light Detection and Ranging (LiDAR) dataset is a survey of the Pocomoke and Atlantic Coastal Watersheds in Maryland. The project area consists of approximately 500 square miles. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 0.70 meters. Fugro EarthData, Inc. acquired 151 flight lines in eight lifts on February 6, 7, 9, 13, 15, and 16, 2011; in tidal areas, data was collected within 2 hours (before or after) of mean low tide. The data was divided into 1500 by 1500 meter cells that serve as the tiling scheme. LiDAR data collection was performed with a Piper Navajo twin engine aircraft, utilizing a Leica ALS60 MPiA sensor, collecting multiple return x, y, and z as well as intensity data. LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This data of the Pocomoke and Atlantic Coastal Watersheds in Maryland, was collected at sufficient resolution to provide a nominal point spacing of 0.70 meters for collected points. Up to 4 returns were recorded for each pulse in addition to an intensity value.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Worcester/MD_worcester_aspect_m/ImageServer

This file (SWSUB8) is a statewide digital watershed file. It depicts the State with 138 separate watersheds each with an 8-digit numeric code. The file was created primarily for State and Federal agency use. The creation of this file goes back many years and involved several State and Federal agencies. This file was derived from a more detailed watershed file (Maryland's Third-Order Watershed). The process used to create this file is consistent with the elevation contour information found on the US Geological Survey's 7.5 minute topographic quadrangle maps and the Maryland Department of the Environment's watershed location and naming conventions. This file is similar, but not identical, to the US Natural Resources Conservation Service's (NRCS) Hydrologic Unit Code (HUC11) watershed file. The watersheds define Strahler (Strahler 1952 p.1120) third order stream drainage by contours on U.S. Geological Survey (USGS) 7.5 minute quadrangle map sheets. Some watershed drainage areas were defined for streams less than third order and some large area Watersheds were split to maintain a maximum size of 15,000 acres.The Department of Natural Resources makes no warranty, expressed or implied, as to the use or appropriateness of Spatial Data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in Spatial Data is from publicly available sources, but no representation is made as to the accuracy or completeness of Spatial Data. The Department of Natural Resources shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. The Department of Natural Resources shall not be liable for any lost profits, consequential damages, or claims against the Department of Natural Resources by third parties. The liability of the Department of Natural Resources for damage regardless of the form of the action shall not exceed any distribution fees that may have been paid in obtaining Spatial Data.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Hydrology/MD_Watersheds/FeatureServer/1

The Airport Runways database is a geographic dataset of runways in the State of Maryland containing information on the physical characteristics of the runways. The 6716 runways in the dataset are runways associated with the 19721 airports in the companion airport data set. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product (Effective 17 March 2013).This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_Transit/FeatureServer/

Statewide (30m) and individual County (1m, 1.2m, 2m) high resolution tree canopy cover showing forest vs non-forest land. High Resolution Carbon Monitoring and Modeling: A NASA CMS Phase II Study.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/imap/rest/services/Biota/MD_CanopyCover/ImageServer

This statewide product was created and will continue to be maintained by the Eastern Shore Regional GIS Cooperative (ESRGC). It's a comprehensive mosaic of the most current LiDAR available for the State of Maryland.The creation and maintenance of this dataset, along with the creation of its services, was funded by the Maryland Department of Information Technology.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Statewide/MD_statewide_hillshade_m/ImageServer

Geographic Extent: Garrett County, MD, covering approximately 739 square miles. Dataset Description: Garrett County, MD 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of UTM Zone 17, NAD83 (2011), meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 6 individual 1829 meter X 1219 meter tiles for the pilot (948 individual 1829 meter X 1219 meter tiles for the entire project area), and corresponding Intensity Images and Bare Earth DEMs tiled to the same 1829 meter X 1219 meter tile schema, and Breaklines in Esri geodatabase format. Ground Conditions: LiDAR was collected in spring of 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 87 Land Cover control points that were used to calibrate the LiDAR to known ground locations established throughout the Garrett County, MD project area (20 calibration control points).This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Garrett/MD_garrett_slope_m/ImageServer