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Grant Award View - GA29130-V1
Leaf to landscape: near-instant vegetation growth and productivity rates
GA ID:
GA29130-V1
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Variation Publish Date:
15-Oct-2019
Variation Date:
15-Oct-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Oct-2019 to 29-Jan-2023
Value (AUD):
$390,000.00
(GST inclusive where applicable)
Varies:
GA29130
- Leaf to landscape: near-instant vegetation growth and productivity rates
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Leaf to landscape: near-instant vegetation growth and productivity rates
Purpose:
This project aims to develop a remote sensing approach for more accurate monitoring of vegetation growth rate and productivity, and the fast-changing vegetation stress dynamics across agricultural and natural landscapes. Algorithms and methods will be developed to use and analyse newly available Earth Observation satellite data to map and monitor plant primary productivity. This project will combine direct plant function measurements, at leaf and canopy scales, with imaging and ranging data in 3D computer modelling techniques. This will address the need to optimise food production and to sustainably manage ecosystem services in a changing climate, with preferential benefits for extensive and inaccessible Australian landscapes.
GO ID:
GO Title:
Discovery Early Career Researcher Award commencing in 2019
Internal Reference ID:
DE19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA