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Short Citation:
OCM Partners, 2023: 2004 USACE Puerto Rico Lidar,

Item Identification

Title: 2004 USACE Puerto Rico Lidar
Short Name: usace2004_puertorico_m560_metadata
Status: Completed
Publication Date: 2007

This record describes Light Detection and Ranging (Lidar) data acquired for the island of Puerto Rico. The data were acquired for

USACE, St. Louis District by 3001, Inc., between January 10 and February 8, 2004. The mission was flown at a density sufficient to support

a maximum final post spacing of 6 feet for unobscured areas. The Puerto Rico LiDAR Survey was collected under the guidance of a

Professional Mapper/Surveyor.

Original contact information:

Contact Org: 3001, Inc.

Title: LiDAR Department

Phone: (985) 661- 3001



The Puerto Rico LiDAR dataset will support the creation of Federal Emergency Management Agency (FEMA) Flood Insurance Rate Maps (FIRM) and an

integrated ground and surface water model.



Supplemental Information:

The Puerto Rico data provided by the NOAA Office for Coastal Management via the Digital Coast Data Access Viewer has been reviewed by Center staff as well

as other outside parties. The data, as processed and provided by the OCM, have some noted quality issues and some potential accuracy problems. The

OCM has not done any further accuracy assessment, but we have received some feedback from other organizations about accuracy and datum issues. Please

note that the geoid grids for Puerto Rico, themselves, have a varying level of accuracy. The data is being provided as a 'best available' data set,

but should be used with a level of caution.

The Lidar QA/QC Quantitative and Qualitative Assessment Report for this data set may be viewed at:

A footprint of this data set may be viewed in Google Earth at:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of the Office for Coastal Management

or its partners.

Support Roles

Data Steward

CC ID: 688502
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 688504
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 688505
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 688503
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1139019
W° Bound: -67.271346
E° Bound: -65.204146
N° Bound: 18.515932
S° Bound: 17.913132

Extent Group 1 / Time Frame 1

CC ID: 1139018
Time Frame Type: Range
Start: 2004-01-10
End: 2004-02-08

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Constraints:


Data Use Constraints:

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. Acknowledgement of

USACE, St. Louis District would be appreciated in products derived from these data.

Distribution Information

Distribution 1

CC ID: 742797
Download URL:
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 742798
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 742800
URL Type:
Online Resource


CC ID: 742801
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 688517
Activity Date/Time: 2017-01-05

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 688516
Activity Date/Time: 2017-11-14

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718655
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742799
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Technical Environment


Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog

Data Quality

Vertical Positional Accuracy:

The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground

control points (GCP) and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis

represents bare-earth elevations. Testing was performed prior to gridding of the filtered LiDAR data points and construction of the

Intergraph .dtm file format. The RMSE figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA). Ground control

was established by 3001, Inc. A spatial proximity analysis was used to select edited LiDAR data points contiguous to the relevant GCPs. A search

radius decision rule is applied with consideration of terrain complexity, cumulative error and adequate sample size. Cumulative error results from

the errors inherent in the various sources of horizontal measurement. These sources include the airborne GPS, GCPs and the uncertainty of the

accuracy of the LiDAR data points. This accuracy is achieved prior to the sub-sampling that occurs through integration with the inertial

measurement unit (IMU) positions that are recorded. It is unclear at this time whether the initial accuracy is maintained. The horizontal accuracy

of the GCPs is estimated to be in the range of approximately 1 to 1.6 feet. Finally, sample size was considered. The specification for the National

Standard for Spatial Data Accuracy is a minimum of 20 points to conduct a statistically significant accuracy evaluation (Minnesota Planning, 1999,

Positional Accuracy Handbook, Minnesota Planning Land Management Information Center, St. Paul, Minnesota., p.3). Most statistical texts indicate

that a minimum of 30 sample points provide a reasonable Approximation of a normal distribution. The intent of the NSSDA is to reflect the geographic

area of interest and the distribution of error in the data set (Federal Geographic Data Committee, 1998, Geospatial National Standard for Spatial

Data Accuracy, Federal Geographic Data Committee Secretariat, Reston, Virginia, p.3-4). Additional steps were taken to ensure the vertical accuracy

of the LiDAR data including: Step 1: Precision Bore sighting (Check Edge-matching) Step 2: Compare the LiDAR data to the Field Survey

(Field survey is to FEMA specifications and more stringent internal specifications) Step 3: Automated Filtering Step 4: Manual Editing (Quality

Control) Step 5: 3-D digitizing and Photogrammetric Compilation of hydrographic breaklines.

; Quantitative Value: 11.90 meters, Test that produced the value:

Based upon the result of vertical accuracy testing conducted by 3001, Inc., vertical accuracy at the 95% confidence level (Accuracyz) is computed

by the formula RMSEz x 1.9600. The overall vertical accuracy of the Puerto Rico Lidar dataset is 11.90 cm, based upon an RMSEz of 6.07 cm.

These values were derived from a comparison of Lidar data points that fell within a 1 m horizontal radius of 20 established ground control points.

They represent the overall vertical accuracy in all surface types surveyed, which include ashphalt, dirt and mowed grass.

Completeness Report:

At the end of each flight, the Lidar data was processed to check for complete coverage and to verify that there were no voids in data coverage.

Conceptual Consistency:




Puerto Rico LiDAR Survey

CC ID: 1139010
Publish Date: 2007-01-01
Extent Type: Range
Extent Start Date/Time: 2004-01-10
Extent End Date/Time: 2004-02-08
Source Contribution:

The Puerto Rico LiDAR Survey was acquired for USACE, St. Louis District and processed by 3001, Inc. | Source Geospatial Form: vector digital data | Type of Source Media: online

Process Steps

Process Step 1

CC ID: 1139011

The ABGPS, inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the

sensor and the IMU monitors the orientation. During the aerial survey laser pulses reflected from features on the ground surface are detected by

the receiver optics and collected by the data logger. GPS locations are based on data collection receivers on the aircraft and base stations on the

ground. The ground base stations are placed no more than 35 km radius from the flight survey area.

Process Date/Time: 2007-01-01 00:00:00

Process Step 2

CC ID: 1139012

The ABGPS, IMU, and raw scans are integrated using proprietary software developed by the Leica Geosystems and delivered with the Leica ALS50

System. The resultant file is in a LAS binary file format. The LAS file version 1.0 format can easily transferred from one file format to another.

It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are

produced in the State Plane Puerto Rico FIPS 5200 coordinate system, with units in feet and referenced to the NAD83 horizontal datum and NAVD88

vertical datum.

Process Date/Time: 2007-01-01 00:00:00

Process Step 3

CC ID: 1139013

The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters

is applied as appropriate for the production of bare-earth digital terrain models (DTMs). Interactive editing methods are applied to those areas

where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant

filters. These same feature extraction filters are used to produce elevation height surfaces.

Process Date/Time: 2007-01-01 00:00:00

Process Step 4

CC ID: 1139014

Filtered and edited data are subjected to rigorous QA/QC according to the 3001 Inc. Quality Control Plan and procedures. Very briefly, a series

of quantitative and visual procedures are employed to validate the accuracy and consistency of the filtered and edited data. Ground control is

established by 3001, Inc. and GPS-derived ground control points (GCPs) points in various areas of dominant and prescribed land cover. These points

are coded according to landcover, surface material and ground control suitability. A suitable number of points are selected for calculation of a

statistically significant accuracy assessment as per the requirements of the National Standard for Spatial Data Accuracy. A spatial proximity

analysis is used to select edited LiDAR data points within a specified distance of the relevant GCPs. A search radius decision rule is applied

with consideration of terrain complexity, cumulative error and adequate sample size. Accuracy validation and evaluation is accomplished using

proprietary software to apply relevant statistical routines for calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial

Data Accuracy (NSSDA) according the Federal Geographic Data Committee (FGDC) specifications.

Process Date/Time: 2007-01-01 00:00:00

Process Step 5

CC ID: 1139015

The LiDAR mass points were delivered in ASPRS LAS 1.0 format. The header file for each dataset is complete as defined by the LAS 1.0 specification.

The LAS files do not include overlap. The delivered tiles are suitable for seamless topographic data mosaics that include no "no data" areas. The

names of the tiles are left padded with zeros as required to achieve a five character length and all files utilize the LAS file extension.

Process Date/Time: 2007-01-01 00:00:00

Process Step 6

CC ID: 1139016

The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained Lidar elevation and intensity measurements.

The data were in projected in Puerto Rico State Plane Coordinates (FIPS 5200/NAD83), and referenced to the orthometric datum of NAVD88 utilizing

Geoid 99. Both planar and vertical units were measured in feet. OCM performed the following processing to the data to make it available

within the Digital Coast:

1. The data were converted from State Plane Coordinates (NAD83; ft) to UTM coordinates (Zone 20/NAD83; m).

2. The vertical units of the data were converted from NAVD88 (ft) to NAVD88 (m).

3. The data were re-tiled using MARS software.

4. The data were reclassified such that all classifications were set to Class 0.

5. The data were filtered to Bare Earth (Class 2) and Unclassified (Class 1) using an automated process in LASEdit.

6. The data were converted from UTM coordinates (Zone 20/NAD83) to geographic coordinates (NAD83) and ellipsoidal elevations (GRS80) using Geoid 99.

7. The LAS data were sorted by latitude and the headers were updated.

Process Date/Time: 2010-12-07 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity LAS

Catalog Details

Catalog Item ID: 50051
GUID: gov.noaa.nmfs.inport:50051
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:23+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16