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Aggregation Info | Bands | Citations | Constraints | Coverage Descriptions | Dimensions | Extents | Formats | Geographic Bounding Box
Georectified Information | Georeferenceable Information | Identifiers | Instruments | Mediums | OnlineResources | Operations
Platforms | Process Steps | Range Elements | Reference Systems | Responsible Parties | Series | Sources | Spatial Grids | Temporal Extents


Count Component Title Abstract
1 2012 MEGIS Topographic Lidar: Statewide Lidar Project Area 1 (Aroostook), Maine 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 work order required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.5 meter. The final products include first, last, and at least one intermediate return LAS, full classified LAS and one (1) meter pixel raster DEMs of the bare-earth surface delivered in Esri 10 ArcGrid format.


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Count Component Title Date Citation Identifier
1 2012 MEGIS Topographic Lidar: Statewide Lidar Project Area 1 (Aroostook), Maine
1 Lidar Final Report
    1 None
      1 North American Datum 1983
      1 none


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        Count Component Individual Organization Position Email Role Linkage
        1 resourceProvider
        1 Citation URL
        1 NOAA CSC (originator) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce originator
        1 NOAA CSC (publisher) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce publisher
        1 NOAA CSC(distributor) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce distributor
        1 NOAA CSC (processor) DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce processor
        1 EPSG Registry European Petroleum Survey Group publisher
        1 Maine GeoLibrary Board (MEGIS) originator
        1 Mike Sutherland(author) Mike Sutherland DOC/NOAA/NESDIS/NCEI > National Centers of Environmental Information, NESDIS, NOAA, U.S. Department of Commerce author
        1 Mike Sutherland Mike Sutherland DOC/NOAA/NESDIS/NCEI > National Centers of Environmental Information, NESDIS, NOAA, U.S. Department of Commerce distributor
        1 Mike Sutherland (processor) Mike Sutherland DOC/NOAA/NESDIS/NCEI > National Centers of Environmental Information, NESDIS, NOAA, U.S. Department of Commerce processor
        1 State of Maine Office of Information Technology (MEOIT) originator
        1 State of Maine, Office of Information Technology State GIS Manager, Maine Office of GIS pointOfContact
        5 Woolpert, Inc. Geospatial Services processor


        Count Component Linkage Name Description Function
        1 Lidar Final Report information
        1 European Petroleum Survey Group Geodetic Parameter Registry Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations. search
        1 NAD83 Link to Geographic Markup Language (GML) description of reference system. information

        MD_Identifier or RS_Identifier

        Count Component Code
        1 Ellipsoid in Meters
        1 Leica ALS60
        1 Optech Gemini
        1 urn:ogc:def:crs:EPSG::4269


        Bounding Box Temporal Extent
        Count Component Description West East North South Start End
        1 -68.710074 -67.765333 47.344577 45.980887 2012-05-03 2012-05-06 2012-05-04 2012-05-07


        Count Component West East North South
        1 -68.710074 -67.765333 47.344577 45.980887


        Count Component Start End
        1 2012-05-03 2012-05-04
        1 2012-05-06 2012-05-07


        Count Component Name Version specification
        1 LAZ


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        Count Component Use Limitation
        1 Lidar Use Limitation These data depict the elevations at the time of the survey and are only accurate for that time. Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. Any conclusions drawn from analysis of this information are not the responsibility of NOAA or any of its partners. These data are NOT to be used for navigational purposes.


        Count Component Code Authority Title
        1 Ellipsoid Ellipsoid in Meters
        1 NAD83 urn:ogc:def:crs:EPSG::4269 North American Datum 1983


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        MD_Georeferenceable or MI_Georeferenceable

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        MD_Georectified or MI_Georectified

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        MD_CoverageDescription or MI_CoverageDescription

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        MD_Band or MI_Band

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        Count Component Title Code Association Type Code
        1 Lidar Final Report crossReference

        LE_Source or LI_Source

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        LE_ProcessStep or LI_ProcessStep

        Count Component DateTime Description
        1 2012-04-18T00:00:00 Using a combination of Leica ALS60 and Optech Gemini LiDAR systems, 307 flight lines of high density data, at a nominal pulse spacing (NPS) of 1.5 meter, were collected over Maine (approximately 2327 square miles). Multiple returns were recorded for each laser pulse along with an intensity value for each return. A total of twenty-one (21) missions were flown April 18, 2012 May 12, 2012. Two airborne global positioning system (GPS) base stations were used in support of the LiDAR data acquisition. 34 ground control points were surveyed through static methods. The geoid used to reduce satellite derived elevations to orthometric heights was Geoid09. The horizontal datum used for this survey is North American Datum 1983 (NSRS2007), UTM19, and expressed in meters. The vertical datum used for this survey is North American Vertical Datum 1988 (NAVD88), and expressed in meters. Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a smoothed best estimate of trajectory (SBET). The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line. System Parameters: - LIDAR data was collected using Leicas ALS60 and Optechs Gemini LiDAR Systems in Multi-Pulse mode. The ALS60 and Gemini LiDAR Systems collect up to four returns (echo) per pulse, recording attributes such as time stamp and intensity data, for the first three returns. If a fourth return was captured, the system does not record an associated intensity value. The aerial LiDAR was collected at the following sensor specifications: Nominal Post Spacing: 4.92 ft / 1.5 m, AGL (Above Ground Level) average flying height: 7,800 ft / 2,377 m (Leica ALS60), 6,800 ft / 2,072 m (Optech Gemini), MSL (Mean Sea Level) average flying height: Varies by terrain, Average Ground Speed: 150 knots / 172 mph, Field of View (full): 40 degrees, Pulse Rate: 99 kHz (Leica ALS60), 100 kHz (Optech Gemini), Scan Rate: 38 Hz (Leica ALS60), 32 Hz (Optech Gemini), Side Lap (Minimum): 25%.
        1 2012-04-18T00:00:00 The Leica ALS60 and Optech Gemini LiDAR system calibration and performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of LiDAR data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw LiDAR data is reduced using the refined misalignment angles.
        1 2012-05-14T00:00:00 Once the data acquisition and GPS processing phases are complete, the LiDAR data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project.
        1 2012-05-14T00:00:00 The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" LiDAR returns. This process determined bare-earth points (Class 2), noise (Class 7), water (Class 9) ignored ground (Class 10), unclassified data (Class 1), overlap points (Class 11). The bare-earth (Class 2 - Ground) LiDAR points underwent a manual QA/QC step to verify that artifacts have been removed from the bare-earth surface. The surveyed ground control points are used to perform the accuracy checks and statistical analysis of the LiDAR dataset.
        1 2012-06-01T00:00:00 Breaklines defining lakes, greater than two acres, and double-line streams, wider than 100 feet (30.5 meters), were compiled using digital photogrammetric techniques as part of the hydrographic flattening process and provided as ESRI Polyline Z and Polygon Z shape files. Breaklines defining water bodies and streams were compiled for this task order. The breaklines were used to perform the hydrologic flattening of water bodies, and gradient hydrologic flattening of double line streams. Lakes, reservoirs and ponds, at a nominal minimum size of two (2) acres or greater, were compiled as closed polygons. The closed water bodies were collected at a constant elevation. Rivers and streams, at a nominal minimum width of 100 feet (30.5 meters), were compiled in the direction of flow with both sides of the stream maintaining an equal gradient elevation. The hydrologic flattening of the LiDAR data was performed for inclusion in the National Elevation Dataset (NED).
        1 2013-10-01T00:00:00 The NOAA Coastal Services Center (CSC) received topographic files in LAS V1.2 format. The files contained lidar elevation measurements, intensity values, scan angle values, return information, and adjusted standard GPS time. The data were received in UTM Zone 19N, NAD83 coordinates and were vertically referenced to NAVD88 using the Geoid09 model. The vertical units of the data were meters. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. Points in Class 11 (Overlap) were changed to Class 12 (Overlap). 2. The topographic las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid09. 3. The topographic las files were converted from a Projected Coordinate System (UTM Zone 19N) to a Geographic Coordinate System (NAD83). 4. The topographic las files' horizontal units were converted from meters to decimal degrees. 5. The data were converted to LAZ format.
        1 2013-11-19T00:00:00 The NOAA National Geophysical Data Center (NGDC) received lidar data files via ftp transfer from the NOAA Coastal Services Center. The data are currently being served via NOAA CSC Digital Coast at The data can be used to re-populate the system. The data are archived in LAS or LAZ format. The LAS format is an industry standard for LiDAR data developed by the American Society of Photogrammetry and Remote Sensing (ASPRS); LAZ is a loseless compressed version of LAS developed by Martin Isenburg ( The data are exclusively in geographic coordinates (either NAD83 or ITRF94). The data are referenced vertically to the ellipsoid (either GRS80 or ITRF94), allowing for the ability to apply the most up to date geoid model when transforming to orthometric heights.


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        Count Component Code Type Description
        1 Leica ALS60 Light Detection and Ranging
        1 Optech Gemini Light Detection and Ranging