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Short Citation:
OCM Partners, 2023: 2013 USACE Topographic Lidar: Rio Puerto Nuevo (PR),

Item Identification

Title: 2013 USACE Topographic Lidar: Rio Puerto Nuevo (PR)
Short Name: pr2013_usace_gsj_pn_rdlp_m4711_metadata
Status: Completed
Publication Date: 2014-12-22

This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. The NAD83/2011 geodetic products were delivered as individual LAS files representing the geographic extent of each uniquely identified and acquired flight line or lift. USACE regularly uses digital topographic information to support regulatory, land management and acquisition, planning, engineering and habitat restoration projects. The data were classified into 4 classifications; (1) unclassified, (2) ground, (9) water,and (12) overlap points. The full study area of approximately 404 square km was processed. The tiles are 1,000 x 1,000m in size and Final deliverables were provided as geographic coordinates referenced to the North American Datum of 1983/2011 Realization (NAD83/2011) and as projected coordinates referenced to the State Plane Coordinate System, Puerto Rico Virgin Islands FIPS Zone 5200, NAD83/2011, vertical PRVD02 orthometric height.

Upon arrival to NOAA's Office for Coastal Management the data were converted from State Plane to geographic and from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 12a. Original project title was "2013 Greater San Juan, Puerto Nuevo, Rio de la Plata".


The purpose of the project is to provide the United States Army Corps of Engineers with updated digital topgraphic information covering the Rio Puerto Nuevo basin of the greater San Juan, Puerto Rico metropolitan area. The Corps regularly uses digital topographic information to support regulatory, land management and acquisition, planning, engineering and habitat restoration projects. The data may also become available to local, state and other federal agencies for their specific management and analysis needs.



Supplemental Information:

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

A report for this dataset is available at:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
CoRIS Discovery Thesaurus Geographic Information > LiDAR
CoRIS Theme Thesaurus EARTH SCIENCE > Land Surface > Topography> Terrain Elevation
None usace

Temporal Keywords

Thesaurus Keyword
None 2011
None February

Spatial Keywords

Thesaurus Keyword
CoRIS Place Thesaurus COUNTRY/TERRITORY > United States of America > Puerto Rico > Puerto Rico (18N066W0000)
CoRIS Place Thesaurus OCEAN BASIN > Atlantic Ocean > Caribbean Sea /North Atlantic Ocean > Puerto Rico > Puerto Rico (18N066W0000)

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: las
Entity Attribute Overview:

Lidar points in LAZ format (Classes 1,2,9,12)

Entity Attribute Detail Citation:


Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of USACE, Precision Aerial Reconnaissance, NOAA, the Office for Coastal Management or its partners.

Support Roles

Data Steward

CC ID: 684691
Date Effective From: 2014-12-22
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: 684693
Date Effective From: 2014-12-22
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: 684694
Date Effective From: 2014-12-22
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: 684692
Date Effective From: 2014-12-22
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: 1136163
W° Bound: -66.159
E° Bound: -66.026
N° Bound: 18.484
S° Bound: 18.348

Extent Group 1 / Time Frame 1

CC ID: 1136162
Time Frame Type: Range
Start: 2013-10-27
End: 2013-11-03

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL:;

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. These data depict the heights at the time of the survey and are only accurate for that time.

Distribution Information

Distribution 1

CC ID: 742280
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: 742281
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 742283
URL Type:
Online Resource


CC ID: 742284
URL Type:
Online Resource


CC ID: 742285
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the coverage of the 2013 USACE Puerto Rico lidar collection.

Activity Log

Activity Log 1

CC ID: 684716
Activity Date/Time: 2017-01-05

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 684715
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: 718553
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742282
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality


These data are not attributed.

Horizontal Positional Accuracy:

Expected horizontal accuracy for the Leica ALS70-cm sensor, as determined from system studies and other methods, is 1/5500th of the flight height, which, in the instance of this particular project was 3,800-feet AGL (1250m), giving a horizontal tolerance of less than 0.691 US survey feet (0.211 m).; Quantitative Value: 0.211 meters, Test that produced the value: 21.1 cm

Vertical Positional Accuracy:

The Fundamental Vertical Accuracy (FVA) of the dataset was determined using check points located only in open, non-vegetated terrain where there is a very high probability that the sensor will have detected the ground surface. For this project, one of the ground cover classes (OLG) was used in addition to vertical control (VC) to calculate the fundamental vertical accuracy. The vertical control points were not a ground cover classification, but were captured to be used in the calibration and editing of the data. The fundamental accuracy is calculated at the 95-percent confidence level as a function of RMSEz and is specified at a higher level of accuracy than other land cover categories. The FVA is calculated using the same formula as Accuracyz.; Quantitative Value: 0.06 meters, Test that produced the value: 6.0 cm RMSEz

Completeness Report:

This data set covers the spatial extent of topographic lidar data obtained during this survey.

Conceptual Consistency:

Data covers the tile scheme provided for the area and was verified for correct topology. Hydro connectivity, monotonicity and vertical consistency of the breaklines was validated.


Process Steps

Process Step 1

CC ID: 1136158

All flights for the project were accomplished with a single-engine Cessna 206 which provided an ideal, stable aerial base for LiDAR acquisition. This platform has relatively fast cruise speeds that are beneficial for project mobilization and demobilization while maintaining relatively slow stall speeds which can prove ideal for collection of a high-density, consistent data posting.

IPAS-TC software was used to compute Inertial SOL file to process the final LiDAR LAS files. The method works by integrating Inertial Navigation Solution by processing IMU data and the simultaneously collected GPS data from SPAN System (Position and Orientation System/Airborne Vehicle) along with observables of locally positioned GPS base station on the ground. It computes a carrier phase GPS solution and then blends it with inertial data.

This project's data was processed in strip form, meaning each flight line was processed independently. Processing the lines individually provides the data analyst with the ability to QC the overlap between lines.

Each strip was imported into a project using TerraScan (Terrasolid, Ltd.) By creating a project the various flight lines are combined while breaking the dataset as a whole into manageable pieces. This process also converts the dataset from Geographic Coordinate System (NAD 83, 2011) to NAD83, 2011 Puerto State Plane. The ellipsoid height values will be converted to PRVD02, Meters, orthometric values using Geoid 12A, provided by National Geodetic Survey (NGS).

Breaklines are collected manually, based on the LiDAR surface model in TerraModeler version 013. The classification of points as either water or ground is determined based on a combination of factors in the data: point density, voids in data returns, and flatness of the surface, and intensity value. Auxiliary information, such as the imagery provided by USACE, as well as ESRI's Hydro layer is used as an additional aid in decision making.

Process Date/Time: 2014-01-01 00:00:00

Process Step 2

CC ID: 1136159

Survey check points were collected in the following two areas: Rio de la Plata (West Area) and Puerto Nuevo Project (East Area). Spread across each area 15-20 survey check points for each of the following classes were collected. The five classes were:


a. Open/Low Grass - OLG

b. Tall Grass/Crops - TGC

c. Brush/Low Trees - BLT

d. Forest - FOR

e. Wetlands - WET

Overall, 201 points were collected as described in the table below (This tables includes landscape class points, but does not include the additional points collected for vertical and horizontal control). The additional points and accuracy calculations are provided in the accuracy assessment portion of this report.

The two landscape classes with dense tall grass vegetation (Brush/low trees and Tall Grass/Crops) tested at higher than the target accuracy. Based on the thick vegetation, the LIDAR points that got to the ground in these areas were minimal, and aggressive filtering and manual edits were required in order to remove the dense vegetation from the ground point classification. As a result, the ground points in these areas were sometimes tens to hundreds of meters apart. The distance of the ground points in these locations resulted in a triangulatedtest surface that may not represent the small terrain variations around the control survey points.

Although a particular LiDAR point cannot be tested, accuracy statements can be made about the performance of the ABGPS, IMU and LiDAR sensors. The ABGPS data are quality controlled by solutions from base stations. On this project, these solutions all agreed to better than 5 cm horizontally. The IMU sensor combines the post-processed GPS data with the raw inertial data to produce a best estimate of trajectory. Automated quality control checks will not allow the IMU solution to be of a lower accuracy than the provided input from the GPS solution. The altitude of the ALS70-CM sensor (S/N 7169) on this project was 1250-meters AGL providing a spot size of 29 cm in diameter. Each return is located somewhere within the spot on the ground, meaning the location of the point is located within 14.5 cm of the center of the spot.

Process Date/Time: 2014-01-01 00:00:00

Process Step 3

CC ID: 1136160

The NOAA Office for Coastal Management (OCM) received the files in laz format from USACE . The files contained lidar elevation and intensity measurements. The data were in State Plane, NAVD88 (orthometric) heights in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The data were converted from State Plane coordinates to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 12a.

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

Process Date/Time: 2014-10-20 00:00:00

Catalog Details

Catalog Item ID: 49954
GUID: gov.noaa.nmfs.inport:49954
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