Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 7 counties in Maine, covering approximately 3981 total square miles. Counties are: Hancock, Kennebec, Knox, Penobscot, Somerset, Waldo, and Washington

Dataset Description:...

This metadata record describes the light detection and ranging (lidar) dataset titled 2018 - 2019 State of Maine Lidar: Crown of Maine.

Product: These lidar data are processed classified LAS 1.4 files, formatted to 8,056 individual 1,500 m x 1,500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. This lidar data set includes unclassified swath LAS...

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

description: 2015 City of Portland Maine Lidar Data Acquisition and Processing Woolpert Order No. 75564 Contractor: Woolpert, Inc. This task is for a high resolution data set of lidar covering approximately 21 square miles of the City of Portland, Maine. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.5 meters. The final products include classified LAS, four (4) feet pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index and FGDC project level metadata in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. This metadata record is for the DEM data served by the NOAA Digital Coast.; abstract: 2015 City of Portland Maine Lidar Data Acquisition and Processing Woolpert Order No. 75564 Contractor: Woolpert, Inc. This task is for a high resolution data set of lidar covering approximately 21 square miles of the City of Portland, Maine. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.5 meters. The final products include classified LAS, four (4) feet pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index and FGDC project level metadata in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. This metadata record is for the DEM data served by the NOAA Digital Coast.

Tile Download LinkProduct: These are Digital Elevation Model (DEM) data for Franklin, Oxford, Piscataquis, and Somerset Counties, Maine as part of the required deliverables for the 2016 Maine Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened raster DEM. 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 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 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 19, meters and vertical datum of NAVD1988 (Geoid 12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 6,115 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 schema. Continuous breaklines were produced in Esri file geodatabase format. Continuous contours with an interval of 1 foot were created in Esri file geodatabase format. Ground Conditions: Lidar was collected in spring of 2016, 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 101 ground control points that were used to calibrate the lidar to known ground locations established throughout the Maine project area. An additional 205 independent accuracy checkpoints, 118 in Bare Earth and Urban landcovers (118 NVA points), 87 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (87 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

Original Product: These lidar data are processed Classified LAS 1.4 files, formatted to 8988 individual 1000 m x 1000 m tiles; used to create intensity images, 3D breaklines, hydro-flattened DEMs, and spatial metadata such as the maximum surface height rasters and swath separation imagery as necessary.

Original Geographic Extent: 7 counties in Maine (Franklin, Hancock, Kennebec, Penobscot, P...

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.

This metadata document describes the collection and processing of Light Detection and Ranging (LIDAR) data over an area along the coast of Maine. Data was collected at a nominal two (2) meter post spacing between points. The elevations in this data set represent the first surface returns. Features that are above the ground - such as buildings, bridges, tree tops, etc. - have NOT been eliminated.

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 128 individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: York County in Maine, covering approximately 92 total square miles. Dataset Description: The ME_SouthCoastal_2_2020 Work Unit 212010 project called for the planning, acquisit...

This dataset consists of the raster and vector data used to generate lidar-derived hydrography for Mount Desert Island in Maine. The data release contents are: The "Stream_Network_Acadia_NP.zip" contains data files for a polyline shapefile representing the Mount Desert Island stream network centerlines derived from a 1-meter resolution lidar Digital Elevation Model (DEM). The "fac_Acadia_NP.zip" contains a GeoTIFF raster used to represent the number of upstream cells flowing into each downstream cell. The "fdr_Acadia_NP.zip" contains a GeoTIFF raster used to represent the cardinal direction in which water is predicted to flow out of each cell. The "Hydrolines_Acadia_NP.zip" contains data files for a polyline shapefile used for hydrologic enforcement of the 1-meter resolution lidar-derived digital elevation model (DEM). The "Seedpoints_Acadia_NP.zip" contains data files for a point shapefile used for the headwater initiation locations of the Mount Desert Island stream network.

The NOAA Maine Topbathymetric Lidar was collected by NV5 using Leica Chiroptera Hawkeye 4X systems. The lidar acquisitions were flown between 20221006 and 20231216 in 120 missions. The final classified lidar data were then transformed from ellipsoid (GRS80) to geoidal height (Geoid18) and used to create topobathymetric DEMs in Cloud Optimized GeoTIFF format with 1m pixel resolution.

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 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 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 19, meters and vertical datum of NAVD1988 (Geoid 12B), meters. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS files formatted to 6,115 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 schema. Continuous breaklines were produced in Esri file geodatabase format. Continuous contours with an interval of 1 foot were created in Esri file geodatabase format. Ground Conditions: Lidar was collected in spring of 2016, 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 101 ground control points that were used to calibrate the lidar to known ground locations established throughout the Maine project area. An additional 205 independent accuracy checkpoints, 118 in Bare Earth and Urban landcovers (118 NVA points), 87 in Forested, Brushland/Trees, and Tall Weeds/Crops categories (87 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. In addition to the lidar point data, bare earth Digital Elevation Models (DEMs), at a 1 m grid spacing, created from the lidar point data are also available. These data are available for download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6267 Breaklines created from the lidar area also available for download in either gdb or gpkg format at: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6264/breaklines The DEM and breakline products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA, OCM or its partners.

The U.S. Geological Survey (USGS), in cooperation with the U.S. National Park Service (NPS), has compiled a Geographic Information System (GIS) dataset. The spatial data layer provided in this data release is derived from high-resolution lidar digital elevation models (DEM’s) for the Katahdin Woods and Waters National Monument in Penobscot County, Maine. The data provided in this release includes a stream network centerline polyline shapefile derived from hydro-enforcement that shows stream location within the Katahdin Woods and Waters National Monument boundary.

Compilation of Maine DEMs generated from lidar as hillshade. Users looking for lidar data and/or data derivatives should contact, in order:

United States Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/NOAA: Data Access Viewer - NOAA Office for Coastal Management: https://coast.noaa.gov/dataviewer/ Maine GeoLibrary Elevation Discovery and Download: https://www1.maine.gov/geolib/ediscovery/site/landing.html National Map (USGS) ftp: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2001 Gulf Coast USGS/NASA ATM lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2004 NOAA Maine lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

The NOAA Maine Topbathymetric Lidar was collected by NV5 using Leica Chiroptera Hawkeye 4X systems. The lidar acquisitions were flown between 20221006 and 20231216 in 120 missions. The dataset includes topobathymetric data in a LAS format 1.4, point data record format 6. See the 'Lineage' section for detailed classification scheme. This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. After the initial data submission, NOAA reviewed the data. NV5 corrected the feedback edits and incorporated them into the dataset delivery. Additionally, green laser intensity values were normalized for depth for the dataset resulting in a full redelivery of all LAS files. Finally, a set of normalized intensity rasters was also provided, and can be found at the Bulk Download link.

Geographic Extent: Central Maine, covering approximately 2,882 total square miles at QL 2. Western Massachusetts, covering approximately 815 total square miles at QL 1. Western Massachusetts, covering approximately 2,770 total square miles at QL 2.

      Dataset Description:
      The Maine and Massachusetts 20...

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.

NCALM Project. Noah Snyder, Boston College. The survey areas are three irregular polygons containing the watersheds of three rivers in Maine: the Sheepscot, Narragaugus, and Pleasant. These areas were flown in thirteen survey flights beginning on October 31, 2007 and were completed on November 11, 2007. Data were collected to investigate land use, geologic and climatic controls on stream processes in northern New England.

Publications associated with this dataset can be found at NCALM's Data Tracking Center