This is compilation of Maine DEMs generated from lidar as a hillshade for MGS web applications. Not all view scales have been created.Users looking for lidar data and/or data derivatives should contact, in order:United States Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/Maine GeoLibrary Elevation Discovery and Download: https://www1.maine.gov/geolib/ediscovery/site/landing.htmlNational Map (USGS) ftp: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/

Product: This lidar data set includes classified LAS files, breaklines, digital elevation models (DEMs), intensity imagery, and contours. Geographic Extent: Four partial counties in western Maine, covering approximately 5,034 total square miles Dataset Description: Maine 2016 QL2 Lidar project called for the planning, acquisition, processing, and derivative products of lidar data to be collecte...

Lidar Digital Elevation Models (DEMs) at 2-meter resolution have been used to derive watershed boundaries for the State of Maine. Geographic Information Systems (GIS) software was used to hydrologically enforce lidar DEMs and delineate watershed boundaries at pre-existing pour point locations (Price, 2016). The watershed boundaries are comparable in size to the 12-digit Hydrologic Unit catchments and have a 12-digit Hydrologic Unit Code (HUC12) identifier attribute field that has a one-to-one match with the national WBD dataset (https://www.usgs.gov/national-hydrography/watershed-boundary-dataset). This data release consists of a zip file containing an ESRI polygon shapefile (vector GIS dataset). This work was conducted in cooperation with Maine Department of Transportation and Maine Office of GIS. Curtis Price, 20160606, WBD HU12 Pour Points derived from NHDPlus: U.S. Geological Survey data release, https://www.sciencebase.gov/catalog/item/5762b664e4b07657d19a71ea

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3274 individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 10 counties in Maine, covering approximately 2610 total square miles. Dataset Description: The ME_SouthCoastal_1_2020 Work Unit 191382 project called for the planning, acqui...

Maine GeoLibrary LiDAR Project Catalog Footprint Index vector representation. Derivative LiDAR data Digital Elevation Model (DEM) availability. Data collected between 2006 - 2022. Quality USGS QL2 and QL3. Companion DEM services may be found in the Maine GeoLibrary Data Catalog.

Maine GeoLibrary LiDAR Project Maine GeoLibrary Data Catalog Maine Elevation Data Discovery and Download Application

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Maine West digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Cumberland, Kennebec, Knox, Lincoln, Sagadahoc, and York Counties. The DEM was produced from the following lidar data sets: 1. 2017 Town of York, ME Lidar 2. 2015 City of Portland, Maine Lidar 3. 2013 USGS NRCS Maine Lidar 4. 2012 Maine Statewide Lidar: Mid-Coastal Cleanup, ME (Areas 2 & 3) 5. 2010 USGS ARRA Lidar for the Northeast: Maine 6. 2008 NGA Augusta, ME Lidar 7. 2006 FEMA Lidar: Coastal York and Cumberland Counties, Maine The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Maine Elevation Hillshade Map contains LiDAR derived information. Source data is either a one or two meter pixel size 32 bit floating point Digital Elevation Model (DEM). A hillshade raster function has been applied to the DEM image service to render this map.

In the fall of 2006, Sanborn Map Company was contracted by Camp Dresser McKee, Inc (CDM) to execute a LiDAR (Light Detection and Ranging) survey campaign in the state of Maine. LiDAR data in the form of 3-dimensional positions of a dense set of masspoints was collected for the 584 sqaure miles of Cumberland and York Counties. This data was used in the development of the bare-earth-classified el...

Camp Dresser McKee Inc. contracted with Sanborn Map Company to provide LiDAR mapping services for Fort Kent, Maine. Utilizing multi-return systems, Light Detection and Ranging (LiDAR) data in the form of 3-dimensional positions of a dense set of mass points was collected in spring 2009 for 187 square miles along the St. Johns River and the Fish River. The Leica ALS-50 LiDAR system was used to collect data for the survey campaign. The nominal point spacing of this data set is 1.4 meters. Leica ALS-50 LiDAR System Acquisition Parameters: Average Altitude: 1400 Meters above ground level Airspeed: ~120 Knots Scan Frequency: 36 Hertz Scan Width Half Angle: 20 Degrees Pulse Rate: 76,200 Hertz

The Maine Geological Survey Lidar application shows the extent of lidar in Maine with towns, parcels, and USGS 1:24,000 scale quadrangles also provided. Users looking for lidar data and/or data derivatives should contact:1) United States Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/2) NOAA: Data Access Viewer - NOAA Office for Coastal Management: https://coast.noaa.gov/dataviewer/3) Maine GeoLibrary Elevation Discovery and Download: https://www1.maine.gov/geolib/ediscovery/site/landing.html4) National Map (USGS) ftp: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/

This layer is scheduled to be deleted on 05/10/2025.

Purpose: To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1-meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.Product: These are Digital Elevation Model (DEM) data for Northern Maine as part of the required deliverables for the Crown of Maine 2018 QL2 LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1-meter hydro-flattened raster DEM.This lidar data set includes unclassified swath LAS 1.4 files, classified LAS 1.4 files, hydro and bridge breaklines, hydro-flattened digital elevation models (DEMs), and intensity imagery. Geographic Extent: 4 partial counties in Northern Maine, covering approximately 6,732 total square miles. Dataset Description: The Crown of Maine 2018 QL2 LiDAR project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.2. The data were developed based on a horizontal projection/datum of NAD 1983 (2011), UTM Zone 19, meters and vertical datum of NAVD 1988 (GEOID 12B), meters. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 8,056 individual 1,500-meter x 1,500-meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500-meter x 1,500-meter schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring of 2018 and 2019, 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 and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 150 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 256 independent accuracy checkpoints, 149 in Bare Earth and Urban landcovers (149 NVA points), 107 in Tall Weeds categories (107 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

Beach erosion is a chronic problem along most open-ocean shores of the United States. As coastal populations continue to grow, and community infrastructures are threatened by erosion, there is increased demand for accurate information regarding past and present shoreline changes. There is also need for a comprehensive analysis of shoreline movement that is regionally consistent. To meet these national needs, the USGS National Assessment of Shoreline Change Project has collected and analyzed a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data.

This dataset consists of short-term (~30 years) shoreline change rates. Rate calculations were computed using the Digital Shoreline Analysis System (DSAS), an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using an end-point rate method based on available shorelines to provide an approximately 30-yr short-term rate. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

To make these results more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. This service meets open geospatial consortium standards.

The data compilation used to derive the shoreline change rates is available in a service with the title USGS Map service: National Shoreline Change - Historic Shorelines by State. The reference baseline used to derive the shoreline change rates is available in a service with the title USGS Map service: National Shoreline Change - Offshore Baseline. The locations of the transects used in the change rate calculation are available in a service with the title USGS Map service: National Shoreline Change - Intersection Points.

The geographic information system (GIS) data layers from this web service are cataloged by state for ease of access.

These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geophysical data used to create the interpretive layers were collected under a cooperative agreement among the Massachusetts Office of Coastal Zone Management (CZM), the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Army Corps of Engineers (USACE). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of seafloor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes because of natural or human effects. The project is focused on the inshore waters of coastal Massachusetts. Data collected during the mapping cooperative involving the USGS have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). The interpretations released in this study are for an area extending from the southern tip of Nahant to Northern Cape Cod Bay, Massachusetts. A combination of geophysical and sample data including high resolution bathymetry and lidar, acoustic-backscatter intensity, seismic-reflection profiles, bottom photographs, and sediment samples are used to create the data interpretations. Most of the nearshore geophysical and sample data (including the bottom photographs) were collected during several cruises between 2000 and 2008. More information about the cruises and the data collected can be found at the Geologic Mapping of the Seafloor Offshore of Massachusetts Web page: http://woodshole.er.usgs.gov/project-pages/coastal_mass/.

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) National Assessment of Shoreline Change Project.

Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of the individual shoreline metadata report.

To make this shoreline data more accessible to the public and other agencies, the USGS created this web service. This web service was created utilizing ESRI ArcServer. Vector shoreline layers were collected, organized by state, and symbology made consistent among similar data sets. This service meets open geospatial consortium standards.

Maine Elevation Contours 2 Feet 19TCM. These elevation vector data are derived from LiDAR point cloud data and represent contours generated at a two foot (2') interval covering the majority of the State of Maine. Data are organized in United States National Grid (USNG) 100,000 meter x 100,000 meter grid size in EPSG 6348 Coordinate Reference System (CRS). This organization scheme was chosen to match the grid scheme of the LiDAR data collections that supported creation of this derivative data. Additionally, this scheme provides data sets that are suitable for GIS services, allow rendering in GIS client applications and permits manageable download size. For further information on the construct of these data, refer to the Lineage section of this metadata.

NOTICE! Elevation contour data in this map draws at 1:24,000 scale and larger.Usage TIP: Enter a United States National Grid (USNG) 100,000 x 100,000 meter grid designator in find to go to a specfic grid. Find OGC WFS and Feature Services HERE.Maine Elevation Contours 2 Feet Map. This map provides a visualization of vector information derived from LiDAR point cloud data and represents contours generated at a two foot (2') interval covering the majority of the State of Maine. Also included is the United States National Grid (USNG) zone 19T from which the processing scheme for the vector data was based. USNG source data organization was chosen to match the grid scheme of the LiDAR data collections that supported creation of these derivative contour data. Additionally, this scheme provides data sets that are suitable for GIS services, allow rendering in GIS client applications and permit manageable download size. For further information on the construct of these data, refer to the Lineage section of the metadata.

Maine Elevation Contours 2 Feet Map Service. This service is for visualization at 1:24000 scale and larger. Map labels appear at 1:1000 scale. This service is not enabled for data download. To download these data go to the Maine GeoLibrary Data Catalog and select a USNG 10,000 meter sub-grid. These elevation vector data are derived from LiDAR point cloud data and represent contours generated at a two foot (2') interval covering the State of Maine. Data are organized in United States National Grid (USNG) 100,000 meter x 100,000 meter grid size in EPSG 6348 Coordinate Reference System (CRS). This organization scheme was chosen to match the grid scheme of the LiDAR data collections that supported creation of this derivative data. Additionally, this scheme provides data sets that are suitable for GIS services, allow rendering in GIS client applications and permits manageable download size. For further information on the construct of these data, refer to the Lineage section of this metadata.

Maine Elevation Contours 2 Feet 19TDJ. These elevation vector data are derived from LiDAR point cloud data and represent contours generated at a two foot (2') interval covering the majority of the State of Maine. Data are organized in United States National Grid (USNG) 100,000 meter x 100,000 meter grid size in EPSG 6348 Coordinate Reference System (CRS). This organization scheme was chosen to match the grid scheme of the LiDAR data collections that supported creation of this derivative data. Additionally, this scheme provides data sets that are suitable for GIS services, allow rendering in GIS client applications and permits manageable download size. For further information on the construct of these data, refer to the Lineage section of this metadata.