140G0325Q0215_RFI_SOW_1.pdf

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BATHYMETRIC LIDAR SERVICES
Solicitation number
140G0325Q0215
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This is a Performance Work Statement (PWS) issued by the US Geological Survey (USGS) in cooperation with the Bureau of Reclamation for the multiyear Imperial Dam Sediment Project. The project requires bathymetric LiDAR and small Unmanned Aerial System (sUAS) services to monitor channel morphology changes at the California Sluiceway at Imperial Dam, located 20 miles north of Yuma, Arizona.

The contractor must provide LiDAR technology operating at 1550 nm wavelength capable of water penetration to detect bed surfaces, along with sUAS services and data processing capabilities. Two separate field visits are required - before and after a high flow release from Imperial Dam - with successive data collection occurring within 4 weeks of each other. Each visit involves scanning approximately 3,000 feet of channel length with 200-foot average width at 200 feet flight elevation. Ground truth observations using RTK and GNSS are mandatory for high-accuracy data collection. All sUAS equipment must meet current National Defense Authorization Act (NDAA) criteria for national security compliance. The contractor must deliver two bathymetric datasets meeting USGS accuracy requirements to the Arizona Water Science Center, with all data to be published in established USGS databases consistent with Fundamental Science Practices.

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PERFORMANCE-BASED WORK STATEMENT

I. GENERAL INFORMATION

The US Geological Survey (USGS), in cooperation with Bureau of Reclamation

(BOR), is conducting the multiyear Imperial Dam Sediment Project that monitors and quantifies sediment transport through the Imperial Diversion Dam system using acoustic monitors and discrete water samples. These data collection methods quantify sediment transport but does not demonstrate how the channel is changing as sediment mobilizes. To accurately quantify changes in the channel morphology, USGS proposes to use a new Light Detection and Ranging (LiDAR) system that allows for scanning channel surfaces submerged under water.

II. WORK REQUIREMENTS

Bathymetric LiDAR that works on a wavelength (1550 nm) that will allow for such water penetration to accurately detect the bed surface of the California Sluiceway. USGS does not currently own this type of equipment, and its use must be contracted out. This requirement is to procure LiDAR and small Unmanned Aerial System (sUAS) services along with LiDAR data processing through a company that owns and operates the LiDAR technology, sUAS, and software to meet the requirements of this project. To quantify changes in channel morphology, two visits will need to occur, before and after a high flow release from Imperial Dam. Two bathymetric data sets, one per visit, will be provided by the contractor. The length of the reach to be flown is about 3,000 feet long with an average width of about 200’. It is estimated that the flight elevation would be at about 200 feet above land surface. Ground truth observations using RTK and GNSS are required to provide high-accuracy data collection. Each data set will be delivered to the USGS Arizona Water Science Center within the USGS accuracy requirements.

III. SUPPORTING INFORMATION

Two separate field visits to the California Sluiceway at Imperial Dam, located 20 miles north of Yuma, AZ, will be required with each visit consisting of an sUAS flight and LiDAR data collection. Successive data collection events will occur within 4 weeks each other to ensure only one high-flow event occurs between flights. Each data collection visit will only require one day on site with additional time to process the collected data. All sUAS equipment used must meet current National Defense Authorization Act (NDAA) criteria to adhere to national security priorities. Any data collected with this contract will be published within established USGS standard databases consistent with USGS Fundamental Science Practices, including the USGS National Water Information System (NWISWeb, https://waterdata.usgs.gov). All data will be reviewed and checked using established USGS protocols and consistent with USGS Fundamental Science Practices.

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