Slide Menu
Search Help Show/Hide Menu
Short Citation:
OCM Partners, 2023: 2013 Rio Puerto Nuevo, Puerto Rico ADS40 4-Band Imagery, https://www.fisheries.noaa.gov/inport/item/49507.

Item Identification

Title: 2013 Rio Puerto Nuevo, Puerto Rico ADS40 4-Band Imagery
Short Name: 2013_usace_puerto_nuevo
Status: Completed
Publication Date: 2014-09-08
Abstract:

Imagery acquired with airborne sensors contain camera and terrain related distortions which make the images unsuitable for geospatial analysis as positions within the image may be significantly inaccurate. A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the image characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital Orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to field Standards for Digital Orthophotos references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also they can be used as map layers in GIS or other computer based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; On the map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial imagery.

Original contact information:

Contact Org: U.S. Army Corps of Engineers, Jacksonville District, Geomatics Section

Phone: 904-232-2214

Email: ted.n.schall@usace.army.mil

Purpose:

The purpose of the project is to provide the United States Army Corps of Engineers with updated digital orthographic aerial imagery covering the Rio Puerto Nuevo basin of the greater San Juan, Puerto Rico metropolitan area. The Corps regularly uses digital orthographic imagery 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.

Notes:

11950

Supplemental Information:

The data design specifications for this product includes several directed to insure its quality, consistency, and usability. These specifications address some of the technical issues associated with orthoimage production: 1) the tops of buildings and other structures elevated above the surface of the ground 'tilt' away from the center point of the source imagery and from their own bases as a result of perspective and their height which is not compensated for in digital elevation models of the ground surface and 2) individual orthoimages may be assembled from several source aerial images. The data is referenced and adjusted to the NAD83(2011) datum. At the time of publication, this realization of NAD83 had not been included by ESRI in the ArcGIS datum library. Therefore, the GeoTIFF header datum reference was assigned as NAD83(NSRS2007). At such time that ESRI includes NAD83(2011) in the ArcGIS datum library, the images' GeoTIFF datum reference should updated to reflect this.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > INFRARED IMAGERY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > CAMERAS
Global Change Master Directory (GCMD) Platform Keywords Aircraft > AIRCRAFT
ISO 19115 Topic Category imageryBaseMapsEarthCover
None Digital Ortho Rectified Image
None geotiff
None USACE

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > PUERTO RICO
UNCONTROLLED
Geographic Names Information System Puerto Rico
Geographic Names Information System San Juan
Geographic Names Information System United States

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: Irregular
Entity Attribute Overview:

8-bit pixels per band, 0-255, 4-band RGBiR

Entity Attribute Detail Citation:

None

Distribution Liability:

Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS.

Support Roles

Data Steward

CC ID: 666120
Date Effective From: 2014-09-08
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 666122
Date Effective From: 2014-09-08
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 666123
Date Effective From: 2014-09-08
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 666121
Date Effective From: 2014-09-08
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Majority date of photography acquisition dates

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 666126
W° Bound: -66.159
E° Bound: -66.026
N° Bound: 18.484
S° Bound: 18.348

Extent Group 1 / Time Frame 1

CC ID: 666125
Time Frame Type: Discrete
Start: 2013-03-13

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 666111
Dimension Count: 2
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 10000

Axis Dimension 2

Dimension Type: Column
Size: 10000

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

Acknowledgment of the United States Army Corps of Engineers would be appreciated for products derived from these data.

Distribution Information

Distribution 1

CC ID: 739962
Download URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4691
Distributor:
File Name: Customized Download
Description:

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

Distribution 2

CC ID: 739963
Download URL: https://coast.noaa.gov/htdata/raster2/imagery/PuertoNuevoPR_2013_4691
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 739965
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 739966
URL: https://coast.noaa.gov/dataregistry
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 666140
Activity Date/Time: 2017-02-22
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 666139
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC CSDGM (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718066
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 739964
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.1.3035

Data Quality

Horizontal Positional Accuracy:

Tested 0.12 meters horizontal accuracy at the 95% confidence level; Quantitative Value: 0.12 meters, Test that produced the value: Horizontal position accuracy for the set digital orthoimages was determined by measuring the locations of 12 well defined points within the images and comparing their locations to field positions as determined by GPS survey methods. This comparison resulted in the following accuracy statistics: Radial RMSE (RMSEr) = 0.07m, Radial Standard Deviation (Sr) = 0.03m, National Standard for Spatial Data Accuracy (Accuracy) = 0.12m

Vertical Positional Accuracy:

N/A

Completeness Measure:

Cloud Cover: 0

Completeness Report:

These data cover approximately 70 square miles of the Rio Puerto Nuevo basin and the greater San Juan metropolitan area. These specifications address some of the technical issues associated with orthoimage production: 1) the tops of buildings and other structures elevated above the surface of the ground 'tilt' away from the center point of the source imagery and from their own bases as a result of perspective and their height which is not compensated for in digital elevation models of the ground surface and 2) individual orthoimages may be assembled from several source aerial images.

Conceptual Consistency:

These specifications address some of the technical issues associated with orthoimage production: 1) the tops of buildings and other structures elevated above the surface of the ground 'tilt' away from the center point of the source imagery and from their own bases as a result of perspective and their height which is not compensated for in digital elevation models of the ground surface and 2) individual orthoimages may be assembled from several source aerial images.

Lineage

Sources

San Juan Puerto Nuevo March 2013 Aerial Survey

CC ID: 666107
Contact Name: Premier Geospatial, Inc.
Publish Date: 2013-04-11
Extent Type: Discrete
Extent Start Date/Time: 2013-03-13
Scale Denominator: 800
Source Contribution:

Digital Image from which spatial and attribute information are interpreted. | Type of Source Media: hard disk drive

Process Steps

Process Step 1

CC ID: 666108
Description:

The imagery was collected using an ADS40-SH51 digital sensor.

Collection was performed using a Cessna 402C flying at 3200'

above mean terrain with 30% sidelap, giving the

collected data nominal ground sampling distance of 0.1

meters. Based-upon the CCD Array configuration present in

the ADS40 digital sensor, imagery for each flight line is

12,000-pixels in width. Red, Green, Blue, Near-Infrared and

Panchromatic image bands were collected.

Collected data was downloaded to portable hard drives and

shipped to the processing facility daily. Raw flight data

was extracted from external data drives using GPro software.

Airborne GPS / IMU data was post-processed using IPAS,

PosPac and/or TerraPos software and reviewed to ensure

sufficient accuracy for project requirements.

Using PictoVera software, low resolution rectified images were

generated from the collected data for use in image quality

review. The low resolution images were generated at 0.6

meter resolution using a two standard deviation histogram

stretch. Factors considered during this review included but

were not limited to the presence of smoke and/or cloud

cover, contrails, light conditions, sun glint and any sensor

or hardware-related issues that potentially could result in

faulty data. When necessary, image strips identified as not

meeting image quality specifications were re-flown to obtain

suitable imagery.

Process Date/Time: 2013-04-05 00:00:00

Process Step 2

CC ID: 666109
Description:

Aero-triangulation was performed in a single block bundle adjustment

within the PictoVera software. Image tie points providing

the observations for the least squares bundle adjustment were

selected from the images using an auto correlation algorithm.

Photogrammetric control points consisted of photo identifiable control points,

collected using GPS field survey techniques. The control

points were loaded in to the softcopy workstation and measured

in the acquired image strips. A least squares bundle

adjustment of image tie points, control points and the

ABGPS was performed to develop an aero triangulation

solution for the block using PictoVera software.

Upon final bundle adjustment, the triangulated strips were

ortho-rectified to the DEM. Digital elevation models (DEM) consisted of

existing elevation source data provided as GFI, and new elevation data

auto-correlated from imagery over areas where significant earthwork

had occurred. The PictoVera autocorrelation module is used to generate

digital surface model (DSM) mass points for areas required new elevation

data. The autocorrelation module uses an APM algorithm to measure mass

points from the forward, nadir, and backward panchromatic images;

searching in the three images throughout the entire width

and length of each flightline for matching features. The DSM

mass points model the ground surface and above ground

features, and must be filtered to a digital terrain model

(DTM) representing only ground features for use in

orthorectification. The SimActive Correlator 3D software was used

to generate the required DTM from the PictoVera

DSM. The filtered DTM was then interpolated to a regularly

gridded DEM and merged with the source DEM for use in the

PictoVera rectification module. The DEM is reviewed for any

elevation anomalies that would introduce image smearing during

orthorectification, and manual edits made as necessary to remove

any anomalies.

Positional accuracy was reviewed in the rectified imagery by

visually verifying the horizontal positioning of the known

photo-identifiable survey locations using ArcGIS software.

The red, green, blue, and near-infrared bands were combined to generate a

final ortho-rectified image strip. The ADS40 sensor collects

twelve bit image data which requires radiometric adjustment

for output in standard eight bit image channels. The ortho-

rectified image strips were produced with the full 12 bit

data range, allowing radiometric adjustment to 8 bit range

to be performed on a strip by strip basis during the final

mosaicking steps.

The imagery was mosaicked using manual seam line generation

in Orthovista Seam Editor (OVSE). The 12 bit data range was

adjusted for display in standard eight bit image channels by

defining a piecewise histogram stretch using OrthoVista

software. A constant stretch was defined for each image

collection period, and then strip by strip adjustments were

made as needed to account for changes in sun angle and

azimuth during the collection period. Strip adjustments

were also made to match the strips histograms as closely as

possible to APFO specified histogram metrics and color

balance requirements. Automated balancing algorithms were

applied to account for bi- directional reflectance as a

final step before the conversion to 8 bit data range.

Specified 4-band image tiles were extracted from the final

mosaic in GeoTIFF format. Local corrections were made where

necessary to permit displaying the tiles as a uniform mosaic.

Process Date/Time: 2013-04-05 00:00:00

Catalog Details

Catalog Item ID: 49507
GUID: gov.noaa.nmfs.inport:49507
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:15+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2018-03-13
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-03-13
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-03-13