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Grant Award View - GA334601-V1
Multi-variable based vegetation monitoring and prediction during...
GA ID:
GA334601-V1
Agency:
Australian Research Council
Approval Date:
30-Aug-2023
Variation Publish Date:
4-Oct-2023
Variation Date:
1-May-2024
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-May-2024 to 30-Apr-2028
Value (AUD):
$919,906.00
(GST inclusive where applicable)
Varies:
GA334601
- Multi-variable based vegetation monitoring and prediction during droughts
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
Multi-variable based vegetation monitoring and prediction during droughts
Purpose:
This project aims to reduce the uncertainties in characterizing and predicting drought impacts on Australian ecosystems. This project is expected to better understand how vegetation responded to hydro-meteorological conditions from the onset to termination stages during Australian droughts in the past 40 years, by investigating the newly developed first global long-term vegetation water content record from satellites. Expected outcomes of this project will be the enhanced capacity to better identify early warning signals and more accurately predict vegetation responses to future droughts. This should provide significant benefits in developing drought mitigation strategies for national agricultural production and water resource allocation.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2023
Internal Reference ID:
FT23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA