2017 Coastal Louisiana NAIP 4-Band 8 Bit Imagery
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:54915 | Updated: January 11, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2017 Coastal Louisiana NAIP 4-Band 8 Bit Imagery, https://www.fisheries.noaa.gov/inport/item/54915.
Full Citation Examples
This data set contains imagery from the National Agriculture
Imagery Program (NAIP). The NAIP program is administered by
USDA FSA and has been established to support two main FSA
strategic goals centered on agricultural production.
These are, increase stewardship of America's natural resources
while enhancing the environment, and to ensure commodities
are procured and distributed effectively and efficiently to
increase food security. The NAIP program supports these goals by
acquiring and providing ortho imagery that has been collected
during the agricultural growing season in the U.S. The NAIP
ortho imagery is tailored to meet FSA requirements and is a
fundamental tool used to support FSA farm and conservation
programs. Ortho imagery provides an effective, intuitive
means of communication about farm program administration
between FSA and stakeholders.
New technology and innovation is identified by fostering and
maintaining a relationship with vendors and government
partners, and by keeping pace with the broader geospatial
community. As a result of these efforts the NAIP program
provides three main products: DOQQ tiles,
Compressed County Mosaics (CCM), and Seamline shape files
The Contract specifications for NAIP imagery have changed
over time reflecting agency requirements and improving
technologies. These changes include image resolution,
horizontal accuracy, coverage area, and number of bands.
In general, flying seasons are established by FSA and are
targeted for peak crop growing conditions. The NAIP
acquisition cycle is based on a minimum 3 year refresh of base
ortho imagery. The tiling format of the NAIP imagery is based
on a 3.75' x 3.75' quarter quadrangle with a 300 pixel buffer
on all four sides. NAIP quarter quads are formatted to the UTM
coordinate system using the North American Datum of 1983.
NAIP imagery may contain as much as 10% cloud cover per tile.
Original contact information:
Contact Org: Aerial Photography Field Office (APFO)
Phone: 801-844-2922
Email: apfo.sales@slc.usda.gov
Distribution Information
-
IMG - ERDAS Imagine
Downloadable Data
-
Create custom data files by choosing area, map projection, file format, etc.
-
Simple download of data files.
There are no limitations for access.
None. The USDA-FSA Aerial Photography Field office
asks to be credited in derived products.
Controlled Theme Keywords
imageryBaseMapsEarthCover
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-94.083° W,
-88.722° E,
31.962° N,
28.787° S
2017-09-11
Item Identification
Title: | 2017 Coastal Louisiana NAIP 4-Band 8 Bit Imagery |
---|---|
Status: | Completed |
Publication Date: | 2017-12-11 |
Abstract: |
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs. Ortho imagery provides an effective, intuitive means of communication about farm program administration between FSA and stakeholders. New technology and innovation is identified by fostering and maintaining a relationship with vendors and government partners, and by keeping pace with the broader geospatial community. As a result of these efforts the NAIP program provides three main products: DOQQ tiles, Compressed County Mosaics (CCM), and Seamline shape files The Contract specifications for NAIP imagery have changed over time reflecting agency requirements and improving technologies. These changes include image resolution, horizontal accuracy, coverage area, and number of bands. In general, flying seasons are established by FSA and are targeted for peak crop growing conditions. The NAIP acquisition cycle is based on a minimum 3 year refresh of base ortho imagery. The tiling format of the NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 pixel buffer on all four sides. NAIP quarter quads are formatted to the UTM coordinate system using the North American Datum of 1983. NAIP imagery may contain as much as 10% cloud cover per tile. Original contact information: Contact Org: Aerial Photography Field Office (APFO) Phone: 801-844-2922 Email: apfo.sales@slc.usda.gov |
Purpose: |
NAIP imagery is available for distribution within 60 days of the end of a flying season and is intended to provide current information of agricultural conditions in support of USDA farm programs. For USDA Farm Service Agency, the 1 meter and 1/2 meter GSD product provides an ortho image base for Common Land Unit boundaries and other data sets. The 1 meter and 1/2 meter NAIP imagery is generally acquired in projects covering full states in cooperation with state government and other federal agencies that use the imagery for a variety of purposes including land use planning and natural resource assessment. The NAIP is also used for disaster response. While suitable for a variety of uses, prior to 2007 the 2 meter GSD NAIP imagery was primarily intended to assess "crop condition and compliance" to USDA farm program conditions. The 2 meter imagery was generally acquired only for agricultural areas within state projects. |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
ISO 19115 Topic Category |
imageryBaseMapsEarthCover
|
UNCONTROLLED | |
None | Aerial Compliance |
None | Compliance |
None | Digital Ortho rectified Image |
None | farming |
None | NAIP |
None | Ortho Rectification |
None | Quarter Quadrangle |
Spatial Keywords
Thesaurus | Keyword |
---|---|
UNCONTROLLED | |
Geographic Names Information System | LA |
Geographic Names Information System | Louisiana |
Physical Location
Organization: | Office for Coastal Management |
---|---|
City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
---|---|
Maintenance Frequency: | Irregular |
Data Presentation Form: | Image (digital) |
Entity Attribute Overview: |
32-bit pixels, 4 band color(RGBIR) values 0 - 255 |
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
Date Effective From: | 2017-12-11 |
---|---|
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
Date Effective From: | 2017-12-11 |
---|---|
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
Date Effective From: | 2017-12-11 |
---|---|
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
Date Effective From: | 2017-12-11 |
---|---|
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: | Ground Condition |
---|
Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -94.083 | |
---|---|---|
E° Bound: | -88.722 | |
N° Bound: | 31.962 | |
S° Bound: | 28.787 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
---|---|
Start: | 2017-09-11 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
---|
Grid Representation 1
Dimension Count: | 2 | ||||
---|---|---|---|---|---|
Cell Geometry: | Point | ||||
Transformation Parameters Available?: | No | ||||
Axis Dimension 1 |
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|
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Axis Dimension 2 |
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|
Access Information
Security Class: | Unclassified |
---|---|
Data Access Constraints: |
There are no limitations for access. |
Data Use Constraints: |
None. The USDA-FSA Aerial Photography Field office asks to be credited in derived products. |
Distribution Information
Distribution 1
Download URL: | https://coast.noaa.gov/dataregistry/ |
---|---|
Distributor: | |
Description: |
Downloadable Data |
File Type (Deprecated): | Erdas Imagine (.img) and TIFF / BigTIFF / GeoTIFF (.tif) |
Distribution Format: | IMG - ERDAS Imagine |
Distribution 2
Download URL: | https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8632 |
---|---|
Distributor: | |
File Name: | Customized Download |
Description: |
Create custom data files by choosing area, map projection, file format, etc. |
Distribution 3
Download URL: | https://coastalimagery.blob.core.windows.net/digitalcoast/LA_NAIP_2017_8632/index.html |
---|---|
Distributor: | |
File Name: | Bulk Download |
Description: |
Simple download of data files. |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer |
---|---|
URL Type: |
Online Resource
|
Activity Log
Activity Log 1
Activity Date/Time: | 2017-04-14 |
---|---|
Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
---|---|
Description: |
Converted from Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
Activity Date/Time: | 2018-02-08 |
---|---|
Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-03-13 |
---|---|
Description: |
Partial upload to move data access links to Distribution Info. |
Technical Environment
Description: |
Unknown |
---|
Data Quality
Horizontal Positional Accuracy: |
NAIP horizontal accuracy specifications have evolved over the life of the program. From 2003 to 2004 the specifications were as follows: 1-meter GSD imagery was to match within 3-meters, and 2-meter GSD to match within 10 meters of reference imagery. For 2005 the 1-meter GSD specification was changed to 5 meters matching the reference imagery. In 2006 a pilot project was performed using true ground specifications rather than reference imagery. All states used the same specifications as 2005 except Utah, which required a match of +/- 6 meters to true ground. In 2007 all specifications were the same as 2006 except Arizona used true ground specifications and all other states used reference imagery. In 2008 and subsequent years no 2-meter GSD imagery was acquired and all specifications were the same as 2007 except approximately half of the states acquired used true ground specifications and the other half used reference imagery. The 2008 states that used absolute ground control where; Indiana, Minnesota, New Hampshire, North Carolina, Texas, Vermont, and Virginia. From 2009 to present all NAIP imagery acquisitions used the +/- 6 meters to ground specification. |
---|---|
Completeness Report: |
None |
Conceptual Consistency: |
NAIP 3.75 minute tile file names are based on the USGS quadrangle naming convention. |
Lineage
Sources
CLIFTON, NW
Publish Date: | 2017-12-11 |
---|---|
Extent Type: | Discrete |
Extent Start Date/Time: | 2017-12-11 |
Source Contribution: |
Digital Georectifed Image. | Source Geospatial Form: remote-sensing image | Type of Source Media: UnKnown |
Process Steps
Process Step 1
Description: |
DOQQ Production Process Description USDA FSA APFO NAIP Program 2017 State: Louisiana
The imagery was collected using the following digital sensors: Leica ADS-100 (Serial Number 10547) Leica ADS-100 (Serial Number 10564) with Flight and Sensor Control Management System (FCMS) firmware 4.54. Cameras are calibrated radiometrically and geometrically by the manufacturer and are all certified by the USGS. Collection was performed using a combination of the following twin-engine aircraft: Turbines flying at 16,410 ft above mean terrain (tail number: AC90 N167R) (tail number: C441 N87WS) With these flying heights, there is a 27% sidelap, giving the collected data nominal ground sampling distance of 0.40 meters at 16,410. Based-upon the CCD Array configuration present in the ADS digital sensor, imagery for each flight line is 20,000-pixels in width. Red, Green, Blue, Near-Infrared and Panchromatic image bands were collected.
The ADS 100 has the following band specifications: Red 619-651 Green 525-585 Blue 435-495 Near Infrared 808-882 all values are in nanometers
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 XPro software. Airborne GPS / IMU data was post-processed using INYS, PosPac and/or TerraPos software and reviewed to ensure sufficient accuracy for project requirements. |
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Process Date/Time: | 2017-12-11 00:00:00 |
Process Step 2
Description: |
Using Inpho software, planar rectified images were generated from the collected data for use in image quality review. The planar rectified images were generated at five 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.
Aero triangulation blocks were defined primarily by order of acquisition and consisted of four to seventeen strips. 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 a softcopy workstation and measured in the acquired image strips. A least squares bundle adjustment of image pass points, control points and the ABGPS was performed to develop an aero triangulation solution for each block using Pictovera software.
Upon final bundle adjustment, the triangulated strips were ortho-rectified to the digital elevation model (DEM) The most recent USGS 10 meter DEMs were used in the rectification process.
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 infrared bands were combined to generate a final ortho-rectified image strip. The ADS 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 12 bit data range was adjusted for display in standard eight bit image channels by defining a piecewise histogram stretch using OrthoVista Radiometrix 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. The imagery was mosaicked using manual seam line generation in OrthoVista. |
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Process Date/Time: | 2018-02-06 00:00:00 |
Catalog Details
Catalog Item ID: | 54915 |
---|---|
GUID: | gov.noaa.nmfs.inport:54915 |
Metadata Record Created By: | Erik Hund |
Metadata Record Created: | 2018-11-20 09:09+0000 |
Metadata Record Last Modified By: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-11 12:20+0000 |
Metadata Record Published: | 2024-01-11 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2018-11-20 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2019-11-20 |