AHDB has floated a tender for 2023-683 Interpreting Lidar Scanning Data to Assess Biomass & Carbon Stocks.. The project location is United Kingdom and the tender is closing on 14 Jun 2024. The tender notice number is CF-0298800D8d000003VQwdEAG, while the TOT Ref Number is 101220635. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country : United Kingdom

Summary : 2023-683 Interpreting Lidar Scanning Data to Assess Biomass & Carbon Stocks.

Deadline : 14 Jun 2024

Other Information

Notice Type : Tender

TOT Ref.No.: 101220635

Document Ref. No. : CF-0298800D8d000003VQwdEAG

Competition : ICB

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : Refer Document

Purchaser's Detail

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Tender Details

Title : 2023-683 Interpreting LIDAR Scanning Data to assess Biomass & Carbon stocks.

Location Of Contract : CV3 4PE

Industry : Data analysis services - 72316000 Agricultural services - 77100000

Value Of Contract : £0

Description : Interpreting Light Detection and Ranging (LIDAR) Scanning Data to Assess Above and Below Ground Carbon (AGC/BGC) for Hedgerows and Trees and Run-off Risk Mapping on Farms in GB.AHDB is undertaking environmental baselining work on a group of farms expected to be in the range 120 - 200 farms across GB where it aims to establish a net carbon balance, taking account of GHG emissions and carbon stocks and sequestration, and capture a range of metrics of relevance to evaluating natural capital and monitoring the environmental impact of behaviour change. For this tender, AHDB are seeking a partner to assess above and below ground biomass (AGB/BGB) associated with woody biomass on the farms in this project and from that estimate the associated above and below ground carbon stocks. Most farms will be mixed farms with two or more enterprise types. Uncropped land such as woodland will also be included. AHDB intends to procure LIDAR scanning services to inform this assessment of 120-200 farms. It is expected that the successful tenderer will use these LIDAR datasets, accompanying aerial imagery and published allometric models for hedgerows, trees and woodland to derive above gr...

Documents

 Tender Notice


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