Dataset Identification:
Resource Abstract:
- 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.
Citation
- Title 2015 City of Portland, Maine, Lidar.
-
- creation Date
2018-02-07T19:09:07.435380
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T21:00:15Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T21:00:15Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
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- Contact information
-
-
- Address
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- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:a6ab549f-b54e-4b5c-b2c7-df5caec54b0d
Metadata record format is ISO19139 XML (MD_Metadata)