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

UkTender notice for 2023-683 Interpreting Lidar Scanning Data to Assess Biomass & Carbon Stocks.. The reference ID of the tender is 101220635 and it is closing on 14 Jun 2024.

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Tender Details

  • Country: United Kingdom
  • Summary: 2023-683 Interpreting Lidar Scanning Data to Assess Biomass & Carbon Stocks.
  • GBT Ref No: 101220635
  • Deadline: 14 Jun 2024
  • Competition: ICB
  • Financier: Self Financed
  • Purchaser Ownership: Public
  • Tender Value: Refer Document
  • Notice Type: Tender
  • Document Ref. No.: CF-0298800D8d000003VQwdEAG
  • Purchaser's Detail :
  • Purchaser : AHDB
    AHDB, Siskin Parkway East Coventry CV3 4PE GB
    Contact Person : Julia Burger
    Email :julia.burger@ahdb.org.uk

  • Description :
  • 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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