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Environmental Services IDIQ Federal contract opportunity
Solicitation number
IBM14R0003
Issued by
International Boundary and Water Commission U.S.-Mexico

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Attachment 8 -- Sample Task Order 3

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Attachment 8

STATEMENT OF WORK

Collection of Orthoimagery and Elevation Data For the Tijuana River Watershed Near San Diego, California and Tijuana, Baja California

1. GENERAL INFORMATION

1.1 Background and Purpose

The International Boundary and Water Commission (IBWC) is a binational commission composed of two sections, the United States Section (USIBWC) and the Mexican Section (MXIBWC). These sections work cooperatively to oversee and resolve various treaty-related issues along the United States – Mexico International Boundary. The USIBWC is issuing this Statement of Work (SOW) to obtain high grade elevation data and high resolution orthoimagery of the Tijuana River Watershed near San Diego, California and Tijuana, Baja California. These data will then be used to develop hydrologic, hydraulic, and sediment transport studies/modeling that will be used to identify best management practices to address excessive sediment/garbage loading in the Tijuana River Basin, an issue that affects both the United States and Mexico.

1.2 General Project Description

Airborne Light Detection and Ranging (LiDAR) systems and orthoimagery sensors will be used to gather the data necessary to create specified LiDAR-derived products and 6-inch resolution, 3-band, true color orthoimagery during the 2013-2014 leaf-off season.

The data will then be input into a hydrologic model and used to create a sediment transport model to demonstrate the fate and transport of sediment and trash in the Tijuana River Basin. These data will then be used to provide recommendations for the reduction and control of sediment in the basin.

This project will be conducted over the specified area located along the United States – Mexico International Boundary near San Diego, California and Tijuana, Baja California (fig. 1). The area of interest spans an estimated 200 square miles.

1.3 Quality Assurance and Quality Control

To ensure that the collected data and their associated deliverables are of high quality, an independent quality assurance and quality control (QA/QC) review will be solicited by the USIBWC. The selected LiDAR/Orthoimagery contractor will cooperate with the selected QA/QC contractor during the project’s phases. The responsibilities for both the LiDAR/Orthoimagery contractor and the QA/QC contractor are outlined in this statement of work.

2. DEFINITIONS

This section defines terms and phrases used in this SOW.

· The Fundamental Vertical Accuracy (FVA) is the accuracy value for points located in clear open, hard, and flat areas where there is a very high probability that the sensor will have detected the ground surface. FVA will be specified for a confidence level. For example, if the specified confidence level is 95%, then 95% of the bare-earth points must meet or exceed the specified accuracy level.

· The Supplemental Vertical Accuracy (SVA) is similar to the FVA, but it is for points located in land cover types other than open terrain. These values are calculated individually per land cover type.

· The Consolidated Vertical Accuracy (CVA) is similar to the FVA and CVA, but it is for all collected points in all land cover types.

3. Government-Furnished Property and Services

Piloting aircraft in Mexico will require applying for and obtaining the proper permit(s). USIBWC will assist the selected contractor by coordinating these efforts through MXIBWC.

With the exception of the previous paragraph, USIBWC will not furnish any equipment or any additional services to the contractor during the duration of the contract.

4. Contractor-Furnished Property and Services

Other than any exceptions listed in section 3 (Government-Furnished Property and Services), the selected contractor must furnish everything needed to perform this contract according to all its terms.

5. Specific Tasks and Specifications

Each subsection provides a breakdown of major phases of work, specifications, and deliverable for the LiDAR/Orthoimagery contractor, the QA/QC contractor, sediment transport model, and final report with recommendations.

5.1 LiDAR Tasks and Specifications

5.1.1 LiDAR Project Phases

Lidar Contractor
QA/QC Contractor
Phase I
PRE-FLIGHT PLANNING

Kick-Off Meeting

Tasks
Develop flight operations plan

System calibration and geodetic control validation

Deliverables
Schedule
Review and comment

Flight plan

Sensor calibration report(s)

Phase II
DATA ACQUISITION
Tasks
Perform flight setup and geodetic control process
Collect QA/QC checkpoint survey

Fly project area to collect data

Verify data after each flight mission

Collect checkpoint survey

Deliverables
Flight trajectories and GPS report
Review and comment

Checkpoint table and survey report

Phase III
DATA PROCESSING
Tasks
Boresight/calibration

Point classification

Intensity image production

Generate hydro-flattening breaklines

Deliverables
PILOT
Review Pilot and comment
All-return point cloud
Review data deliverables and comment

Hydro-flattening breaklines

Intensity images

Re-submit Phase III deliverables as necessary
Approve or reject deliverables
Phase IV
FINAL PRODUCT DEVELOPMENT
Tasks
Create bare-earth DEM

Generate metadata

Deliverables
DEM Raster
Review and comment

Metadata

Re-submit Phase IV deliverables as necessary
Approve or reject deliverables

Deliver whole QA/QC checkpoint table to IBWC

Submit final QA/QC report

Project Closeout Meeting

5.1.2 LiDAR Project Specifications

Phases I & II: Pre-Flight Planning and Data Acquisition

Project Requirements

Nominal pulse spacing (NPS)
NPS ≤ 0.35 m, or point density ≥ 8 points per m2 for first-return data.
Uniformity
Spatial distribution of points must be uniform and free from clustering. 90% of cells in a 1-meter grid will contain at least one first-return point. See Data voids for exclusions.
Buffer
300 meter buffer surrounding the AOI is required for flight planning and acquisition, with no buffer needed in between tiles. Buffer will not be included in final delivery.
Multiple returns
Lidar sensor shall be capable of at least three (3) returns per pulse, including first and last returns. Multiple returns from a given pulse shall be stored in sequential order and point families must remain intact.
Return attributes
Each return must include: easting, northing, elevation, intensity, order of return (i.e. first-return, second-return), classification, and Adjusted GPS Time. Easting, northing, and elevation must be recorded to the nearest 0.01 m and GPS second reported to the nearest microsecond (or better). May include additional attributes. No duplicate entries.
Scan angle
For lidar systems with an oscillating mirror, scan angle should not exceed ±20 degrees from nadir. Total field of view or full scan angle ≤ 40°. Rotating mirror systems are exempt from this requirement.
Swath overlap
Minimum 50% overlap on adjoining swaths.
Data voids
Data voids are defined as areas ≥ 4 square meters [(4*NPS)2] with no first-return points. Data voids are unacceptable unless caused by water bodies or areas of low near-infrared (NIR) reflectivity (e.g. wet asphalt). No voids between swaths.
Survey conditions
Leaf-off and no significant snow cover or flood conditions, unless approved by IBWC. Must be cloud, smoke, dust and fog-free between the aircraft and ground.

GPS Procedures and Accuracy

Positional accuracy validation
The absolute and relative accuracy of the data, both horizontal and vertical, and relative to known control, shall be verified prior to classification and subsequent product development. Report accuracies in metadata as compiled to meet X meters vertical accuracy at the 95% confidence level in open terrain according to the National Standard for Spatial Data Accuracy (NSSDA). Refer to Lidar Accuracy Assessment under Section 2.1 for details on QA/QC accuracy testing.
Acquisition GPS procedures
At least two (2) GPS reference stations in operation during all missions, sampling positions at 1 Hz or higher frequently. Differential GPS baseline lengths shall not exceed 40 km, unless otherwise approved. Differential GPS unit in aircraft shall sample position at 2 Hz or more frequently. Lidar data shall only be acquired when GPS PDOP is ≤ 4 and at least 6 satellites are in view.
Geodetic control
Lidar contractor must supply ground control for acquisition and processing. See Quality Assurance and Quality Control portion of this document for recommended collection guidelines.
Relative accuracy
Defined as <= 7 cm RMSEz within individual swaths and <= 10 cm RMSEz between adjacent swaths.
Horizontal Accuracy
RMSEr
< 50 cm
Fundamental Vertical Accuracy (FVA)
RMSEz
< 10 cm
Accuracyz 95%
< 19.6 cm

Phases III & IV: Data Processing and Product Development

Fully Classified All-Return Point Cloud

Format
All-return point cloud in fully-compliant LAS version 1.2. All points must be classified according to the ASPRS classification standard for LAS.
Spatial reference
LAS files will use the Spatial Reference Framework according to project specification and all files shall be projected and defined.

ASPRS Classifications Required Class 1. Unclassified Class 2. Bare-earth Ground Class 3. Low Vegetation Class 4. Medium Vegetation Class 5. High Vegetation Class 6. Building Class 7. Low Point (noise) Class 9. Water Class 13. Bridges/Culverts

Withheld points
Outliers, noise, blunders, geometrically unreliable points near the extreme edge of the swath, and other points deemed unusable are to be identified using the “Withheld” flag. If processing software is not capable of segregating Withheld points, the points may be identified using ASPRS Class 11. This applies primarily to points which are identified during pre-processing or through automated post-processing routines. Subsequently identified noise points may be assigned to the standard Noise Class (Class 7), regardless of whether the noise is lower or higher relative to the ground.
Overlap class
The ASPRS Overlap Class (Class 12) shall NOT be used. All points must be classified unless identified as “Withheld”.
Classification accuracy
Within any sample 1 km x 1 km area, no more than 2% of non-withheld points in the classes listed above will possess a demonstrably erroneous classification value. This includes Unclassified points (Class 1) that should be correctly included in a different class as required by this specification. This requirement may be relaxed to accommodate collections in areas where the IBWC agrees classification to be particularly difficult.
Classification consistency
Point classification shall be consistent across the entire project. Noticeable variations in the character, texture, or quality of the classification between tiles, swaths, lifts, or other non-natural divisions will be cause for rejection of the entire deliverable.

Bare Earth Lidar / DEM Raster

Format
Hydro-enforced 32-bit floating point raster DEM in (TBD at kick-off meeting) format to nearest 0.01 m is preferred, however similar raster formats may be permitted at the discretion of the IBWC.
Spatial reference
DEM files will use the Spatial Reference Framework according to project specification and all files shall be projected and defined.
Spatial resolution
1-meter x 1-meter
Quality
No seams, gaps, or quilting should be visible (unless naturally occurring), whether caused by differences in processing quality or character between tiles, swaths, lifts, or other non-natural divisions and will be cause for rejection of the entire DEM deliverable. There shall be no “plateau effect” from rounded or integer elevation values (must be floating point). Also see ‘Data voids’ under Project Requirements.
Artifacts
Vegetation, bridges, buildings, and other artifacts must be completely removed from Class 2 Bare-earth Ground. Artificial dams in waterways caused by bridges or other adjacent structures are not permitted with the exception of culverts. See ‘Culverts’ under Hydro-flattening Breaklines for more information.
Filtering
There shall be no over-aggressive filtering of the Ground class resulting in gaps or a degradation of DEM quality (e.g. hilltops shaved flat or data voids). There shall also be no under-aggressive filtering of the Ground class resulting in a degradation of DEM quality (e.g. portions of buildings or vegetation included in Ground or overly noisy surface).
Sinks
Depression sinks, natural or man-made (not erroneous), are not to be filled (as in hydro-conditioning).
Breaklines
Hydrologic breaklines shall be used to define stream/river channels and water bodies allowing for unimpeded water flow. See Hydro-flattening Breaklines below for more information.
No data
Data voids outside the project boundary shall be coded as NODATA (-9999), as well as acceptable internal voids.

Hydro-flattening Breaklines

Format
All breaklines developed for use in hydro-flattening shall be delivered as a non-tiled Esri feature class for the entire AOI in polygon and/or polyline shapefile or geodatabase format. Waterbodies (ponds, lakes, and reservoirs), wide streams and rivers (“double-line”), and other non-tidal waterbodies are to be hydro-flattened within the DEM, resulting in a flat and level bank-to-bank gradient. The entire water surface edge must be at or below the immediately surrounding terrain.
Spatial reference
Breakline feature class will use the Spatial Reference Framework according to project specification and shall be projected and defined.
Stream resolution
Hydro-flattening shall be applied to all streams that are nominally wider than 50 feet, and to all non-tidal boundary waters bordering the project area regardless of size.
Waterbody resolution
Hydro-flattening shall be applied to all water impoundments, natural or man-made, that are nominally larger than 2 acres in area (equivalent to a round pond ~350’ in diameter).
Culverts
Stream channels should break at road crossings (culvert locations). These road fills should not be removed from the DEM. However, streams and rivers should NOT break at elevated bridges. Bridges should be removed from the DEM (see ‘Artifacts’ under Bare Earth Lidar/DEM Raster). When the identification of a feature such as a bridge or culvert cannot be made reliably, the feature should be regarded as a culvert.

Intensity Images

Format
Raster image of first-return intensity values in GeoTIFF.
Spatial reference
Intensity images will use the Spatial Reference Framework according to project specification and all files shall be projected and defined.
Spatial resolution
1-meter x 1-meter
Radiometric resolution
Unsigned 8-bit, 16-bit or 32-bit (highest available). Intensity images should typically contain original digital number (DN) values ranging from 0 - 100 or greater for ≥ 80% of areas with diverse land cover conditions.
Histogram
Histogram should be very close to normally distributed with minimal or no clipping.
Consistency
Images should be consistent in contrast and tone across project AOI. There should be no striping, tiling, or banding across project AOI.

Metadata

Format
Tile-level metadata consisting of separate XML files paired with each data tile as well as project-level metadata for non-tiled data in XML format.
FGDC Standard
All metadata shall be consistent with the Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata.
Methodology
Metadata will include processing steps and software used. If requested, sample metadata will be provided by IBWC.

Spatial Reference Framework

Vertical Datum
NAVD88 with most recent NGS-approved geoid to convert from ellipsoidal to orthometric heights
Horizontal Datum
NAD83 (2011)
Projection
UTM – Project AOIs covering more than one UTM zone shall be split along the UTM boundary with one (1) row of overlapping tiles on each side duplicated and projected into both zones.
Vertical Units
Meters (Orthometric, NAVD88)
Horizontal Units
Meters (UTM)

File Naming Convention

Each image name and label should include the date* the image was captured.

*If a tile includes pixels from more than one flight strip, the date of capture should be the acquisition date of the majority of the tile’s pixels.

Applies to the following:

All-return point cloud in LAS Bare-earth DEM Intensity images Tile-level metadata

Orthoimagery provider shall consult with IBWC Contract Representatives to establish acceptable file naming conventions for all data products.

Example naming convention: “########_yyyymmdd”

######## = National grid number y = acquisition year m = acquisition month d = acquisition day

5.1.3 LiDAR Deliverables

Deliverables

Phase I Deliverables

Schedule
Project timeline with projected milestones should also include due dates for BOTH Phase III and Phase IV, to be separated by at least six weeks for QA/QC. Timeline may be in any style or format suitable to the contractor.
Flight plan
Flight plan for each AOI shall include: aircraft flight lines delivered in Esri feature class, shapefile, or kmz/kml format; and map (or feature class, shapefile, kml/kmz) showing GPS base stations in use during acquisition.
Calibration
Most recent calibration report for all lidar sensors used for collection.

Phase II Deliverables

Flight trajectories
SBET files with recorded aircraft position (easting, northing, elevation) and attitude (heading, pitch, roll) and Adjusted GPS time recorded at regular intervals of 1 second or less and delivered in Esri feature class or shapefile format. May include additional attributes.
Flight report
Flight report should include at a minimum the following mission parameters: sensor make and model, nominal ground sampling distance, scan angle, average groundspeed, laser pulse rate, scan rate, and average flying altitude. Network parameters with base station IDs and location should be included as well as flight PDOP.
Control table
Any checkpoints collected by the lidar contractor for internal quality control shall be provided to IBWC in an electronic table (csv, ASCII, xls(x), shp) including UTM coordinates (X,Y,Z) to three (3) decimal places, point ID and land cover type, at a minimum.
Control survey report
Along with control table, lidar contractor shall submit associated survey report including at a minimum selected geodetic control network and spatial parameters (i.e. coordinate system, geoid model).

Phase III Deliverables

Pilot Data
The lidar contractor (in consultation with IBWC) will select a minimum of four (4) contiguous tiles within the project AOI which shall serve as a Pilot area. The Pilot will be delivered to IBWC and the QA/QC review consultant and shall include all-return point cloud, DEM and intensity image products delivered in final product form to meet or exceed the specifications established in this document. It is recommended that processing of other data in the AOI be suspended until the Pilot data have been approved by IBWC.
All-return point cloud
To be received by QA/QC review consultant on or before Phase III Deliverables due date. See section above titled Phases III & IV: Data Processing and Product Development for details. Final products must pass QA/QC review before acceptance.

Hydro-flattening breaklines

Intensity images

Phase IV Deliverables

DEM raster
To be received by QA/QC review consultant on or before Phase IV Deliverables due date. See section above titled Phases III & IV: Data Processing and Product Development for details. Final products must pass QA/QC review before acceptance.

Metadata

Intellectual Property Rights

The contracting agency shall have unrestricted rights to all delivered reports and data. The contracting agency expects to place reports and data in the public domain.

5.2 Orthoimagery Tasks and Specifications

5.2.1 Orthoimagery Project Phases

Orthoimagery Data Provider
QA/QC Contractor
Phase I
PRE-FLIGHT PLANNING

Kick-Off Meeting

Tasks
Develop flight operations plan

System calibration and geodetic control validation

Deliverables
Project timeline including projected milestones
Review and comment

Flight plan for AOI including base station map

Sensor calibration report(s)

Phase II
DATA ACQUISITION
Tasks
Perform flight setup and geodetic control process
Collect QA/QC checkpoint survey in consultation with acquisition contractor

Fly project area to collect data

Verify data after each flight mission

Deliverables
Flight trajectories and GPS report

Checkpoint table and survey report

Phase III
DATA PROCESSING
Tasks
Generate raw image data

QA raw image data and determine re-flights

Aerial triangulation

Initial radiometric adjustments

Final orthorectification

Generate & QA mosaics

Rework problem areas

Deliverables
Production Sample – area > 10% of AOI

Re-submit production samples as necessary

Image data w/provisional georeferencing

Data processing status updates

Phase IV
FINAL PRODUCT DEVELOPMENT
Tasks
Create final uncompressed orthoimagery

Create final compressed orthoimagery

Generate vector index per product

Generate metadata

Deliverables
Final uncompressed orthoimagery
Review and comment on horizontal accuracy and quality of products.

Final compressed orthoimagery

Vector index per product

Seam line file(s)
Approve or reject deliverables
Metadata
Deliver QA/QC checkpoint table

Data processing status updates

Re-submit Phase IV deliverables as necessary
Submit final QA/QC Report

Project Closeout Meeting

5.2.2 Orthoimagery Project Specifications

Pre-Flight Planning and Data Acquisition

Requirement
Description
Additional Information
Camera Type
Digital sensor onboard fixed wing or helicopter airborne platforms.

The digital system shall be a tested, stable (maintained), geometrically calibrated system with appropriate documentation, suitable for use in the acquisition and production of precision photogrammetric orthoimagery.

The contract administrator shall be notified of all camera malfunctions within 72 hours with a written report of the malfunction. A malfunction is defined as a failure in any element or process of the camera that causes an interruption of the normal operations of the camera system which includes any key components, such as camera mount, airborne global positioning system, inertial measurement unit, and on-board data storage.

Airborne examples:

· Leica geosystems ADS80 SH82 Sensor Head (or ADS40) – Pushbroom Camera

· Microsfot Vexcel’s UltraCamx – Frame Camera

· Intergraph’s Z/I Imaging Digital Mapping Camera (DMC) --- Frame Camera

The use of more than one type of digital camera in the acquisition of the same project area of interest is NOT allowed.

Sun Angle
Sun angel must exceed 30 degrees above the horizon.
Less than 30 degrees may be acceptable to avoid cloud cover during coastal acquisitions.
Airspace
The AOI may contain areas of controlled or restricted airspace. It is the responsibility of the imagery provider to obtain all approvals necessary for all required clearances.
Tilt
The axis of the camera should be in a vertical position. The tilt (departure from the vertical) should not exceed four degrees (4˚) or the relative tilt between images or strips exceed six degrees (6˚).
Tilt shall not average more than two degrees (2˚) in any 16 km (10 mile) section of a flight line and shall not average more than one degree (1˚) for the entire project.
Time period of capture
Imagery shall be captured between [INSERT DATE RANGE HERE], leaf-off conditions.

Imagery shall be collected between 10:00 a.m. and 2:00 p.m. to minimize shadows due to sun-angle.

In some situations, collection could begin at 9:00 a.m. to reduce the chances of cloud cover.

Conditions during capture
Imagery shall be captured only when the sky is free from clouds, cloud shadows, high overcast clouds causing low illumination, haze, fog, smoke, and dust.

Ground features should be free of excessive waters due to rain and free of snow. Other environmental factors causing non-manmade obstruction of the ground surface should be minimal.

Light conditions should be such that images are free from smear, blur, excessive glare, or noise.

Cloud cover
Less than 5% cloud cover per final uncompressed image tile.
The 5% includes cloud shadows.
Forward overlap
50% or greater
Sidelap
Minimum 15%

Maximum 45% Average 20-30% over entire flight line

Flying height
Appropriate flying height for specified orthoimage spatial resolution.
1:1 ratio between captured pixel size and ground resolution.
Coverage
No voids due to cloud cover, instrument failure, or water bodies.
Geodetic conrol
Orthoimagery provided must supply ground control to meet the absolute geometric accuracy specified.

Data Processing and Product Development

Requirement
Description
Additional Information
Spatial resolution
6-inch
Absolute horizontal accuracy – tested RMSE
+/- 1-3 feet
Image Tile Scheme
United States National Grid
Image Tile Buffer
300 feet
Spectral resolution
3-Band natural color per pixel (R,G,B)

Misregistration between any bands shall not exceed 1 pixel.

Radiometric resolution
Unprocessed (raw) data should have a bit depth of >8, such as 12 or 16.
The original bit depth at data acquisition should remain the same throughout all image processing steps. Conversion to 8-bit should only occur during the final mosaic step.
Radiometric adjustments
Histogram Clipping, Contrast, Saturation,

Sharpness, and Noise – as a guideline, see target values in NAIP Suggested Best Practices- Final Report.

Histogram:

Clipping - Imagery shall have a tonal range that prevents the clipping of highlight or shadow detail.

Brightness - the mean pixel count shall be within +/- 7.5% of the middle DN value allowed for 8-bit data (min. 108, max. 147).

Images should not appear too dark or too bright and should not be faded or washed out.

Color balancing should be performed so that no color shift (one dominate color) exists within an image. Overall tonal quality should be rich – not dull with an acceptable level of contrast.

Image data shall be free of artifacts and blemishes that obscure ground feature detail. Feature ‘blooming’ or oversaturation should be minimal.

Shadows should not be too dark. Features in shadow should retain a maximum level of detail without compromising other components of the image.

The image data shall not contain any non-image items.

Sharpened imagery is preferred, however, processes that highly sharpen data should be avoided in order to maintain absolute accuracy.

Features should exhibit their true color in a natural color composite.

Formats and compression
GeoTIFF (tiles)

MrSID (tiles)

Orthoimagery provider shall consult with State Contract Representatives on all details for any file formats not specified in this document.

GeoTIFF – Uncompressed Required minimum TIFF and GeoTIFF Tags and GeoKeys:

· ImageWidth – “Example: 6720”

· ImageLength – “Example: 7620”

· BitsPerSample – “Example: 8,8,8,8”

· Compression – “Example: None or 1”

· PhotometricInterpretation – “Example: RGB or 2”

· Orientation – “Example: Top Left or 1”

· StripOffsets

· SamplesPerPixel – “Example: 3 or 4”

· RowsPerStrip – “Example: 1”

· StripByteCounts

· ExtraSamples* – “0” *Required only if SamplesPerPixel is >3.

See TIFF Revision 6.0

· GeoPixelScale aka ModelPixelScaleTag

· GeoTiePoints aka ModelTiepointTag

· GTModelTypeGeoKey – ModelTypeProjected

· GTRasterTypeGeoKey – RasterPixelIsArea

· ProjectedCSTypeGeoKey

· PCSCitationGeoKey – “A free text file for describing the projection and datum as <datum>/<projection>format. Example: NAD83 / UTM zone 15N”

· GTCitationGeoKey – “A free text file for describing the imagery. Use file name.”

· ProjLinearUnitsGeoKey – “A coded value for the linear units used by the projection. Values are listed in section 6.3.3.1 of the GeoTIFF 1.0 standard. Examples: Linear_Meter, Linear_Foot, Linear_Foot_US_Survey”

See GeoTIFF Format Specification, GeoTIFF Revision 1.0

MrSID – Compressed, 15:1 optimal ratio, generation 3

Orthoimage data must have quality compression (lossless or lossy) for achieving a visually lossless result and manageable file size.

Compression should be the last step in the image processing chain.

World files are only required if geographic coordinates are not stored within a ‘spatially aware’ orthoimage, such as GMLJP2 for JPEG2000 data.

Orthorectification method
A rigorous orthorectification model in combination with the highest quality DEM/DSM available should be employed.
Suitable DEM and DSM to meet the required horizontal accuracy supplied by orthoimagery provider. The elevation dataset(s) used should be documented in the metadata.

[TRUE ORTHORECTIFICATION, ABSOLUTELY NO FEATURE LEAN]

Interpolation method
Bicubic or Lagrange
Both methods use 4x4 neighbors. Interpolation and resampling processes should be minimal to preserve absolute accuracy.
Image tile buffer
All final orthoimage tiles should have a buffer that extends an appropriate distance around all four sides of the image tile.
All final orthoimage tiles should have 90 degree corners, not rounded.

The extents shall be computed by projecting the geographic corners and side midpoints to the appropriate projection, then adding the buffer on each side of the resulting minimum bounding rectangle.

Background value
Image tiles should have no collars/borders, background values, artifacts or other non-image items around the edges.
The background or ‘nodata’ value, if included in the dataset for special circumstances, should be 0,0,0 (black) for all pixels in the background area.
File naming convention
Each image name and label should include the date* the image was captured.

*If a tile includes pixels from more than one flight strip, the date of capture should be the acquisition date of the majority of the tile’s pixels.

Orthoimagery provider shall consult with IBWC Contract Representatives to establish acceptable file naming conventions for all data products.

Example naming convention: “########_yyyymmdd”

######## = National grid number y = acquisition year m = acquisition month d = acquisition day

Orthoimage index
Digital indices of the final uncompressed and compressed orthoimage tile products in ESRI-compatible Shapefile or Geodatabase format
One polygon per tile.

At a minimum, the indices should include date of capture and filename fields.

Metadata
All deliverables will include file and dataset level metadata documentation consistent with the Federal Geographic Data Committee’s Content Standard for Digital Geospatial Metadata (CSDGM).

Metadata should include all processing steps and software used.

All image corrections should be well documented in the metadata.

Tested RMSE and CE both at 95% should be reported.

Additionally, these topics should be addressed in the metadata:

· Aircraft type and tail number

· Average flying/acquisition height (AGL)

· Camera manufacturer and model

· Camera calibration process

· Camera footprint description

· Raw capture pixel resolution and bit depth

· Final pixel resolution of product

· Total bands of data acquired and spectral ranges (μm)

· Use of ground control and/or GPS/IMU and associated internal validation or inspection processes

· DEM used and detail (e.g. date DEM obtained from NED, resolution, did it require repair, etc.)

· Quality control – Tests for accuracy

Spatial Reference Framework

Projection
UTM Zone 11N
Horizontal Datum
NAD 1983
Horizontal Units
Meter

The projection must be defined (readable in stakeholder software) for every uncompressed and compressed orthoimage raster file.

Accuracy

Absolute horizontal accuracy
Report accuracies in metadata as “Tested ___ meters horizontal accuracy at 95% confidence level” according to the National Standard for Spatial Data Accuracy (NSSDA) .
Radiometric accuracy
Orthoimagery should have acceptable tonal balance across the entire project area. Tonal balance will be optimized for a natural color composite, unless otherwise specified, and will not deviate significantly from approved preliminary data samples.

Orthoimagery should be free of color artifacts and missing data values. Images should be cloud free or <5% (includes shadows) per final image tile.

Orthoimagery should be free of smears and contain no warped features.ratio

Mis-registration among bands should be minimal and not exceed one (1) pixel.

The natural content of the orthoimagery should be maintained as close as possible barring any radiometric adjustments necessary for the orthophoto production process

Radial distortion
Bridges/overpasses and buildings six (6) stories and taller should have minimal lean. These features should not extend over adjacent roadways, sidewalks, or parking lots.
Wavy or mismatched features
Roads (including overpasses) should not deviate from their path by more than six (6) pixels.
Seamlines on imagery
Mosaic seamlines should not run through buildings, overpasses, water towers or radio towers. Seamlines should not be noticeable on the imagery at the viewing scale for which the orthoimagery were produced or generally 1.5 times that viewing scale. Visible seamlines are acceptable over large bodies of water.

5.2.3 Orthoimagery Deliverables

Deliverables

Phase I Deliverables

Schedule
Project timeline with projected milestones should also include due dates for BOTH Phase III and Phase IV.
Flight plan
Flight plan for each AOI shall include: aircraft flight lines delivered in Esri feature class, shapefile, or kmz/kml format; and map (or feature class, shapefile, kml/kmz) showing GPS base stations in use during acquisition.
Calibration
Most recent calibration report for all orthoimagery sensors used.

Phase II Deliverables

Flight trajectories
SBET files with recorded aircraft position (easting, northing, elevation) and attitude (heading, pitch, roll) and GPS time recorded at regular intervals of 1 second or less and delivered in Esri feature class or shapefile format. May include additional attributes.
Flight report
Flight report should include at a minimum the following mission parameters: sensor make and model, nominal ground sampling distance, average groundspeed, and average flying altitude. GPS control report should include network parameters with base station IDs and location.
Control table and survey reports
Any control and checkpoints collected by the acquisition contractor for internal quality control shall be provided in an electronic table (csv, ASCII, xls(x), shp) including coordinates (X,Y) to three (3) decimal places and point ID at a minimum. On the ground photos (JPEGs) and any supplemental information (GPS network and spatial parameters) collected by surveyors shall accompany the table.
Acquisition reports
Weekly project progress reports during data acquisition even if no activity to report. Email communication is sufficient.

Phase III Deliverables

Production sample
Production samples of uncompressed orthoimagery covering an area > 10% of the entire project AOI will be submitted for review. The samples must meet all contractual requirements. Contract representatives will provide approval or disapproval with comments no later than five (5) business days after receipt.
Processing reports
Project progress reports every two (2) weeks during data processing and products development phases. Email communication is sufficient.

Phase IV Deliverables

Seamline file
The seamline vector file will be topologically correct (no slivers) and contain a polygon for each exposure or image strip used to create the imagery.

Attributes:

ATTRIBUTE DATA ,COLUMN NAME, EXAMPLE

Image acquisition date, IDATE, 20120723 Polygon start date/time 1, SDATE, 20120723 13:52 Polygon end date/time 1 , EDATE, 20120723 13:53 Spectral resolution 2, SPEC, M4B Camera manufacturer, CAM_MAN, Leica Geosystems Camera model, CAM_MOD, ADS-80 Sensor or lens serial number, SENSNUM, 30029 Aircraft type 3 , AC_TYPE, C441 Aircraft tail number, ACTAILNUM, N12345R Average flying altitude (feet), ALT, 10,000

1 Local 24-hour clock. Start/end time is for the individual polygon and will be the same for frame-based systems.

2 Possible values: NC (natural color), CIR (color infrared), and M4B (4-band) 3 ICAO designator (e.g. use C441 for a Cessna 441 Conquest II)

Compressed mosaic(s)

Mosaic(s) shall be tone balanced to give a consistent and uniform image quality appearance that eliminates a checkerboard effect. The mosaic(s) should maintain as much of the original color and appearance of the color corrected tiles as practical.

The horizontal accuracy requirement will apply to the mosaic(s).

The file format will be MrSID (Generation 3).

Processing reports
Project progress reports every two (2) weeks during data processing and product development phases. Email communication is sufficient.
Orthoimagery
Final uncompressed orthoimage tiles and final compressed orthoimage tiles.
Orthoimage index
Vector index file of the final uncompressed orthoimage tiles and final compressed orthoimage tiles. All indices must be in ESRI-compatible shapefile or geodatabase format.
Metadata
Dataset level metadata per orthoimage product – FGDC-compliant

File level metadata per final uncompressed and compressed image tile – FGDC-compliant

All orthoimage and associated data deliverables must meet specifications listed in this document. All image products are to be delivered to IBWC no later than [date.] [number of days after completion of acquisition.]

All final orthoimage products will be delivered on portable hard drives. Portable hard drives will become the property of IBWC. File compression such as ZIP or RAR should not be applied to the products; this requirement should not be confused with image compression (MrSID, etc.). Raw and/or preliminary products may be delivered via FTP.

Intellectual Property Rights

IBWC shall have unrestricted rights to all delivered reports and data. All orthoimage products will become the property of IBWC. All orthoimage products will be put in the public domain and be accessible from IBWC.

5.3 Independent Quality Assurance and Quality Control Review

5.3.1 LiDAR Quality Assurance and Quality Control Review

Quality Assurance and Quality Control

Checkpoint Acquisition

Quantity
A minimum of twenty (20) checkpoints will be collected and tested for each major land cover type present in the AOI. At least three (3) major land cover types must be identified for a project minimum of sixty (60) checkpoints. Checkpoint quantity and land cover type may change based on project parameters at the discretion of IBWC.
Elevation
The most recent NGS-approved geoid shall be used to convert GPS ellipsoid heights (NAVD88) into orthometric heights for each checkpoint.
Accuracy
Checkpoint accuracy must be at least three (3) times more accurate than the dataset being evaluated. For instance, the RMSEz requirement for lidar in Flood/Soils is 15 cm so checkpoint accuracy must be ≤ 5 cm.

Land cover categories

· Open terrain (sand, rock, dirt, lawns, golf courses)

· Tall weeds and crops

· Brush lands and low trees

· Forested area fully covered by trees

· Urban areas with dense manmade structures

Land cover source
Land cover categories may be user defined or chosen based on existing land cover categories (i.e. the most recent National Land Cover Dataset). QA/QC provider will consult with IBWC to determine the major land cover types within the project AOI. Checkpoints should be well distributed within the AOI.
Checkpoint GPS surveys
The QA/QC contractor will conduct independent GPS surveys of all checkpoints to 5 cm Local Network Accuracy. The QC checkpoints should be selected on flat terrain, or on uniformly sloping terrain for 0.5 meters (same as NPS) in all directions1. Checkpoint surveys should be performed relative to National Spatial Reference System (NSRS) monuments of high vertical accuracy, preferably using the same NSRS monuments referenced as GPS base stations for airborne GPS control of the mapping aircraft. GPS real-time-kinematic (RTK) procedures are acceptable as long as temporary benchmarks within the project area are surveyed twice with distinctly different satellite geometry to overcome the possibility of GPS multi-path error.
Survey documentation
The survey crew will mark each checkpoint with a 60d nail or larger. The station ID number will be written on an adjacent above-ground flag or stake within one (1) foot of the referenced checkpoint.

Checkpoint table

Deliverable 1: The surveyor will provide IBWC and the QA/QC team with all checkpoints collected including (at a minimum) UTM coordinates (X,Y,Z) to three (3) decimal places, point ID and land cover type. Point data must be in electronic format. Acceptable formats include: ASCII, .csv, .txt, .shp, .xls(x), .mdb

Checkpoint survey report

Deliverable 2: Along with checkpoint table, QA/QC contractor shall submit associated survey report including at a minimum selected GPS network (i.e. RTK) and spatial parameters (i.e. coordinate system, geoid model) as well as reference site photos. Acceptable formats include: .doc(x), .pdf, .odt

Lidar Accuracy Assessment

Fundamental vertical accuracy
The QA/QC contractor will follow the ASPRS Guidelines on Vertical Accuracy Reporting for Lidar Data to compute the vertical RMSEz and Accuracyz at a 95% confidence interval (RMSEz*1.96) in centimeters for checkpoints located in open terrain.
Supplemental vertical accuracy
The 95th percentile method shall be used to determine supplemental vertical accuracy for checkpoints in each applicable land cover category excluding open terrain. The least accurate 5% of checkpoints shall be discarded and the RMSEz and Accuracyz will then be calculated and reported.
Lidar accuracy assessment report
Deliverable 3: If the 95th percentile RMSEz and Accuracyz calculation passes the accuracy criteria listed for the lidar contractor (under GPS Procedures and Accuracy), the QA/QC team will prepare a Lidar Accuracy Assessment Report declaring the data have passed. The official report will include statistics, compared with the relevant accuracy standard.

Project Review and Final Report

Phase I: Pre-Flight Planning
Review Phase I parameters and deliverables from lidar contractor including: project parameters; timeline; flight plan; sensor calibration report and provide comments/feedback to contractor and IBWC. See requirements listed above for details.
Phase II: Data Acquisition
QA/QC contractor will be available to lidar contractor or IBWC for input or advice regarding data acquisition.
Phase III: Pilot
Review pilot area submitted by lidar contractor to ensure all requirements in this specification are met. Provide comments/feedback to lidar contractor and IBWC. An accuracy check and formal reporting are not required.
Phase III: Data Processing
Review Phase III deliverables (LAS, intensity images, hydro-flattening breaklines), check accuracy and provide comments/feedback to lidar contractor and IBWC. If the data are rejected for any reason, notification to IBWC and the lidar contractor should occur as soon as possible for corrective measures. Phase IV shall not commence until Phase III data meet specification.
Phase IV: Final Product Development
Review Phase IV deliverables (DEM raster, metadata) and provide comments/feedback to lidar contractor and IBWC. Approve or reject deliverables based on compliance with project specification in consultation with IBWC.
Final QA/QC report
Deliverable 4: Document all workflow processes as well as quantitative and qualitative findings in a detailed report which will also include Checkpoint Survey Report and Lidar Accuracy Assessment Report. Screenshots and other graphics are encouraged. Acceptable formats include .doc(x), .pdf

5.3.2 Orthoimagery Quality Assurance and Quality Control Review

This section is provided for coordination between the USIBWC independent contractor and this contract and not for proposal and bid.

Independent QA/QC Primary Review Tasks

Review Task
Requirement
Inventory
· The data received matches the shipping manifest.

· All data tiles can be read.

· All data tiles required for the QA review were delivered.

· Data format(s) is correct.

· All data filenames are correct and consistent, including extensions.

· All required ancillary data files are present, such as world files, .xml’s, etc.

· The ground sample distance is correct.

· The projection definition is present and correct.

· Bit depth is correct.

· Compression ratio is correct, if applicable.

· Image coverage is complete according to the project AOI, no data voids.

· Orthoimage tiles conform to the correct footprint and have acceptable image tile buffers.

· No missing bands.

· Orthoimage index present and acceptable.

Visual Inspection
· Color balance issues; one color too dominate, not consistent with approved sample.

· Tonal balance issues; too dark, too bright, too much contrast, too little contrast, not consistent with approved sample.

· Abnormal histograms, not normally distributed or excessively clipped.

· Shadows too dark.

· Features too bright or oversaturated causing excessive glare.

· Image artifacts and blemishes.

· Unacceptable compression artifacts.

· Inconsistent background or ‘no data’ values or background values that are within the AOI.

· Cloud and cloud shadow.

· Smears.

· Warped or wavy features.

· Feature lean, especially over roads, sidewalks, or parking lots.

· Band mis-registration.

· Obvious mosaic seam lines (not over water) or mismatched features.

If there is an overall consistent issue in the dataset, a select number may be flagged that represent the problem. Statements describing the issue in the dataset as a whole should be included in the report.

Horizontal accuracy
Report accuracy as “Tested ____ (meters, feet) horizontal accuracy at 95% confidence level” according to the National Standard for Spatial Data Accuracy (NSSDA)

A horizontal accuracy assessment should be conducted using photo identifiable checkpoints.

None of the checkpoints may be used that were employed during orthoimage production.

Ideally, the checkpoints have a horizontal accuracy better than the orthoimage ground sample distance. The checkpoints must be collected by an entity other than the producer of the orthoimagery.

The checkpoints should be distributed fairly evenly throughout the orthoimage AOI.

Metadata
Metadata files should exist per image and per product.

Metadata should be checked for FGDC-compliance.

Deliverables

Report
A report describing the QA provider’s inspection processes and quantitative and qualitative results of the orthoimagery provider products. The report will be provided in .pdf or .docx format.
Vector file
A vector file of flagged issues discovered during inspection. This file should be an ESRI-compatible shapefile or geodatabase and contain at least one descriptor field.

5.4 Development of a sediment transport model

5.4.1 Sediment Transport Model Project Phases

Phase I
Sediment Transport Model Selection

Kick-Off Meeting

Tasks
Determine best sediment transport model
Deliverables
Evaluate all available sediment transport models

Present selection and reasoning to USIBWC

Phase II
Model Run
Tasks
Input elevation data collected from Task 5.1 into sediment transport model

Perform QC/QA on model outputs to insure accuracy

Prepare sediment transport results in graphical format

Deliverables
Model files and outputs

Model results and evaluation

5.5 Final Report

Phase I
Final Report

Final Report

Tasks
Prepare a draft and final report of findings and recommendations
Deliverables
Draft Report

Final Report

Phase II
Close Out Meeting
Tasks
Prepare presentation of results of all tasks

Present final report and results of all tasks to the IBWC

Deliverables
Final Presentation

Sign in sheet and meeting minutes

5.6 Schedule of deliverables

Task Phase

Description

Date

5.1

LIDAR

I

Pre Flight

60 days after Notice to Proceed

II

Data Acquisition 60 days after 5.1 phase I

III

Data Processing

90 days after 5.1 Phase II

IV

Final Product 30 days after 5.1 Phase III

5.2

ORTHOIMAGERY

I
Pre-flight
60 days after Notice to Proceed
II
Data Acquisition
60 days after 5.2 Phase I
III
Data Processing
60 days after 5.2 Phase II
IV
Final Product
30 days after 5.2 Phase II

5.3

Independent QA/QC
Concurrent with 5.1. This task shall be performed by a USIBWC contractor to be coordinated with this contract.

5.4

SEDIMENT TRANSPORT MODEL

I
Sediment model selection
30 days after 5.1 Phase III
II
Modeling
60 days after 5.4 Phase I

5.5

FINAL REPORT

I
Draft and final report
Draft 30 days after 5.3 Phase II

IBWC will provide comments 14 days after receipt of draft Final is due 14 days after receipt of comments

II
Finial Presentation
14 days after 5.5 Phase I

Total Contract schedule is 400 days after notice to proceed

6.0 Monthly Reporting

Progress reports are required on the first of each month detailing progress completion, completed work since last report, current work, any issues that could affect the project

7.0 Point of Contact Information

Contracting Officer (CO) Laura Baker

USIBWC

4171 N. Mesa, C-100 El Paso, TX 79902 Phone: (915) 832-4119

Laura.baker@ibwc.gov

Contracting Officer Representative (COR) Environmental Management Division

USIBWC

4171 N. Mesa, C-100 El Paso, TX 79902 Phone: TBD

TBD

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