GRI Director, Matt Wilson presents at IGARSS Greece

Matt Wilson presented on July 10, 2024 at the 44th annual International Geoscience and Remote Sensing Symposium in Athens, Greece. His talk was titled: “Prediction of soil moisture from near-global CYGNSS GNSS-Reflectometry using a random forest machine learning model”.

Dr Lukas Marek was invited as an expert to Geospatial Summer School 2024 

This event focused on geohealth and spatial analysis in health. It took place at the Department of Geoinformatics, Palacky University in Olomouc, Czech Republic between June 24 and 28 2024. Lukas talked about geospatial analyses in public health in New Zealand and also led a workshop on spatial accessibility.

Virtual reality brings flood risk to life

The GRI Director, Professor Matthew Wilson, has been awarded funding from an EQC Biennial grant. The project called “virtually flooded” has been developed in partnership with leaders from Te Rūnanga o Ngāi Tahu (TRoNT) and has been featured  in a recent TechWeek EQC article entitled, “Tech-savvy scientists are helping New Zealanders prepare for natural hazards.” This […]

Visiting PhD Student, Joe Lillis

GRI has a visiting PhD student from Exeter University in the UK. Joe Lillis has been working on a thesis that aims to map how greenspace, air pollution, and traffic noise impacts mental health in the UK. While at UC, Joe has helped the GeoHealth Lab create a greenspace national composite for New Zealand based […]

MIGARS 2024

The GRI was well represented at the MIGARS conference (International Conference on Machine Intelligence for Geoanalytics and Remote Sensing ) in Wellington this week. Congrats on all the posters and talks.

Six papers on machine learning from GRI to be presented at MIGARS 2024

Thrilling work in machine learning developed in the GRI is going to be presented in the forthcoming 2024 MIGARs International Conference on Machine Intelligence for Geoanalytics and Remote Sensing. The papers are: Detecting Vegetated Wetlands of New Zealand through Satellite Imagery and Machine Learning- Saif Khan Learning with Image Guidance for Digital Elevation Model Super-Resolution […]