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

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.

description: The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Atlantic Coast of ME in 2010. The data types collected include bathymetry and topographic lidar point data, true color imagery and hyperspectral imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm and the hyperspectral imagery will be provided in 1m pixels containing 36 bands between 375 - 1050 nm with 19 nm bandwidth. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88).; abstract: The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Atlantic Coast of ME in 2010. The data types collected include bathymetry and topographic lidar point data, true color imagery and hyperspectral imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm and the hyperspectral imagery will be provided in 1m pixels containing 36 bands between 375 - 1050 nm with 19 nm bandwidth. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88).

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

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.

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 East 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 Hancock, Penobscot, Waldo, and Washington Counties. The DEM was produced from the following lidar data sets: 1. 2017 Eastern Maine Lidar 2. 2015 USGS Central ME QL2 LIdar 3. 2010 USGS ARRA Lidar for the Northeast: 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.

These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. These files were collec...

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

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 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.

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

This dataset holds aboveground biomass (AGB) estimates at 10-m spatial resolution for the Howland Research Forest in central Maine for 2012, 2015, 2017, 2021, and 2023. Forest inventory data were collected using 50 fixed-area plot sampling during the summers of 2021, 2023, and 2024. Plots included permanent inventory plots around existing flux towers and additional plots to ensure representation of various forest conditions. Each plot had a radius of 7.98 m. In addition, leaf-off airborne LiDAR data were collected by the USGS 3DEP project in 2012, 2015, and 2023, and leaf-on data were obtained from the NASA G-LiHT project for 2017 and 2021. The LANDIS-II forest landscape model along with its Biomass Succession extension was used to simulate ecosystem dynamics in Howland Forest. Then, a random forest (RF) model was used to generate wall-to-wall biomass maps for the research forest from the LiDAR data. The RF model was calibrated from in situ AGB measurements from plots and simulated AGB values for the LiDAR acquisition years. Howland Research Forest is a low-elevation transitional forest dominated by spruce and hemlock, with conifer and northern hardwood species. The data are provided in cloud optimized GeoTIFF format.

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.

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/.

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 19TCH. 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.

Maine Elevation Contours 2 Feet 19TDK. 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.

Maine Elevation Contours 2 Feet 19TFK. 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.