Using machine learning to estimate soil moisture from GNSS-Reflectometry
PhD Student Matthew Wilson (GRI– UoC) Rajasweta Datta (GRI-UoC) Sharmila Savarimuthu (GRI-UoC) Funding MBIE Catalyst programme. Project summary Soil moisture is an important controlling factor in vegetation health and is a significant component of catchment hydrology. Regular soil moisture monitoring across agricultural areas helps to quantify irrigation and check for signs of crop distress, for […]
Urban Trees and Housing Intensification: A Spatial Conflict?
PhD StudentDavid Pedley (SoF- GRI) SupervisorsDr Justin Morgenroth (UoC)Dr Grant Pearse (Flinders University)Mijam Schindler (Victoria University) FundingGRI Scholarship and UC Doctoral Scholarship Project summary Achieving a sustainable city requires balancing two essential elements: housing and urban trees. The provision of high-quality and affordable housing is necessary to enable occupation by a diversity of residents who […]
Super-resolution for real-world digital terrain models – deep learning approach
Research team Xander Cai (GRI– UoC) Matthew Wilson (GRI– UoC) Funding GRI funds Duration 2023 Project summary A Digital Elevation Model (DEM) stores and represents elevation as an image raster, widely used as fundamental data for research, applications and policy decisions related to land and earth. DEMs can be classified into the Digital Surface Model […]
Advancing methods of rapid flood risk assessment using climate informed hybrid approaches of hydraulic modelling and machine learning
PhD student:Andrea Pozo Estivariz (PhD student, UoC) Supervisors:Matthew Wilson (UoC)Emily Lane (Earth Sciences NZ)Marwan Katurji (UoC)Fernando Méndez (Universidad de Cantabria)Cyprien Bosserelle (Earth Sciences NZ) Funding:MBIE Endeavour Research Programme – Increasing flood resilience across Aotearoa, New Zealand. Duration:2021 – 2025 Summary:Flooding is among the most devastating natural hazards affecting communities, infrastructure, economies and ecosystems. As climate […]
Advancing methods of uncertainty estimation in flood inundation modelling using Monte Carlo and machine learning approaches
PhD student:Martin Nguyen (PhD student, UoC) Supervisors:Matthew Wilson (Main Supervisor, UoC)Emily Lane (Supervisor, Earth Sciences NZ)James Brasington (UoC)Rose Pearson (Earth Sciences NZ) Funding:MBIE Endeavour Research Programme – Increasing flood resilience across Aotearoa, New Zealand Summary:Uncertainties inherent in the flood modelling process, especially in the input data, can affect flood predictions, reducing reliability of flood risk […]
Biological Heritage Challenge: Eco-Index Programme: Sub project: The Ecosystem Detector
Research teamDr Kiri Joy Wallace (University of Waikato)Dr John Reid (J D Reid LTD)Matthew Wilson (University of Canterbury)Ngāti Pikiao (Tainu and Ngai Tahu Research Centre, University of Canterbury)Nathaniel Calhoun (Code Innovation)Kevan Cote (Moose Engineering & Design)Karen Denyer (Papawera Consulting Ltd)Saif Khan (University of Canterbury) Length of Project: 2022-2024 FundingNew Zealand National Science Challenge Eco-index Research […]