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NATURAL RESOURCES has floated a tender for Las 35376- Land Use Permit for Off-Road Travel on North Slope for Us Army Corp of Engineers. The project location is USA and the tender is closing on 19 Feb 2025. The tender notice number is , while the TOT Ref Number is 114243891. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : USA
Summary : Las 35376- Land Use Permit for Off-Road Travel on North Slope for Us Army Corp of Engineers
Deadline : 19 Feb 2025
Other Information
Notice Type : Tender
TOT Ref.No.: 114243891
Document Ref. No. :
Competition : ICB
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Tender are invited for LAS 35376- Land Use Permit for Off-road Travel on North Slope for US Army Corp of Engineers
Department: Natural Resources
Category: Public Notices
Sub-Category:
Location(s): Deadhorse
Project/Regulation #:
Publish Date: 2/4/2025
Archive Date: 2/19/2025
Events/Deadlines:
Tender are invited for NOTICE TO THE PUBLIC AND REQUEST FOR INFORMATIONLAS 35376United States Army Corp of Engineers February 4, 2025 Subject to AS 38.05.850, the Northern Regional Land Office has received an application for the following:APPLICANT: United States Army Corp of Engineers (USACE) PROJECT NAME: LAS 35379 GEOGRAPHIC LOCATION: State lands in or near Chandalar, Toolik, and Prudhoe Bay. Route maps are attached. Chandalar: 68.0087942°N, 149.3267588°W to 68.0538541°N, 149.6091337°W (U016S012E34 to U016S011E11). Toolik: 68.8363930°N, 149.2847030°W to 68.4849264°N, 149.6481856°W(U007S012E16 to U011S011E18) Prudhoe Bay: 70.1716658°N, 149.0624079°W to 70.2768054°N, 147.8337766°W(U009N012E3 to U011N017E28) REQUESTED ACTIVITY: Off-road travel along state lands using a Polaris MRZR Alpha with tracks. USACE plans to determine how discriminative cues arise in AI architectures as the underlying tundra ecoregion changes. Work associated with the project will assist USACE in the development of machine learning algorithms by collecting sensor data related to snow properties in varying terrain types. In support of the research activity, ...
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