Discovery Projects - Grant ID: DP150104576

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP150104576

Funding Status
Closed

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Funded Activity Summary

Spatio-Temporal Statistics and its Application to Remote Sensing. By their very nature, environmental processes involve strong spatial and temporal variability. Inferring cause-effect relationships requires the incorporation of spatial and temporal dependence in the statistical models. The aims of this project are to develop mass-balanced hierarchical spatio-temporal statistical models, new loss functions that are relevant to multivariate processes, and optimal estimators obtained from the hierarchical model's predictive distribution. These methodologies are intended to be applied to the estimation of near-surface fluxes of atmospheric carbon dioxide, using massive remote sensing datasets from satellites and other data sources.

Funded Activity Details

Start Date: 07-2015

End Date: 12-2018

Funding Scheme: Discovery Projects

Funding Amount: $402,500.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Environmental Science and Management not elsewhere classified | Statistics |

ANZSRC Socio-Economic Objective (SEO)

Climate and Climate Change not elsewhere classified | Expanding Knowledge in the Mathematical Sciences

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