GRI PhD Students Represent at EGU in Vienna
We are proud to share that Sunil Tamang and Clevon Ash are currently representing the Geospatial Research Institute and UC at the European Geosciences Union (EGU) General Assembly 2026 in Vienna, Austria—one of the world’s leading conferences in earth, planetary, and space sciences. Sunil delivered an oral presentation titled “Mapping the Margins: Evaluating Accuracy and […]
Quantifying agricultural CH4 emissions using MethaneSAT, MethaneAIR and ground-based data
This talk will report on results from a 5-year MBIE-funded Endeavour Programme, Mā te Haumaru o te Wai on the development of a semi-automated workflow to consistently model flood hazard and risk over all of Aotearoa for current and future climates, and show results from this work that are being made available on our flood hazard and risk viewing platform to help ensure there is consistent information available.
Second IEEE GRSS NZ Radar Remote Sensing School 2026 (NZRRSS)
We had a fantastic turnout to the Second IEEE GRSS NZ Radar Remote Sensing School 2026 (NZRRSS). The event was held here at the University of Canterbury (UoC) from 15 to 17 April 2026, organised by the Geoscience and Remote Sensing Society (GRSS) New Zealand Chapter and the Geospatial Research Institute (GRI), supported by the […]
Geospatial Research Institute Toi Hangarau PhD Scholarship 2026
We are now accepting applications for the 2026 Geospatial Research Institute (GRI) scholarship. Funds awarded: NZ$35,650/year, over 3 years full-time. This scholarship consists of: One UC PhD scholarship ($32,650 per annum), plus A GRI top-up scholarship ($3,000 per annum). Up to an additional $4,000 per year is available from the GRI for travel or other […]
Current Trends in Synthetic Aperture Radar Imaging Techniques
This talk will report on results from a 5-year MBIE-funded Endeavour Programme, Mā te Haumaru o te Wai on the development of a semi-automated workflow to consistently model flood hazard and risk over all of Aotearoa for current and future climates, and show results from this work that are being made available on our flood hazard and risk viewing platform to help ensure there is consistent information available.
GRI in the news
On December 4th, 2025 the Star, page 17, put out an extensive article, entitled “AI, open datasets being used to help communities plan.” Here is an excerpt from the article: “Canterbury University researchers are using AI and open datasets to create affordable, accurate elevation maps that will help communities plan and adapt to a changing […]
GRI Holiday BBQ at Spencer Park
We had a great turn out to the annual GRI Holiday Party! Nearly forty GRI staff, students, family, and friends came for an afternoon of sun, lemonade, BBQ, pavlova, and secret Santa.
Nationally Consistent Flood Hazard and Risk Information for Aotearoa
This talk will report on results from a 5-year MBIE-funded Endeavour Programme, Mā te Haumaru o te Wai on the development of a semi-automated workflow to consistently model flood hazard and risk over all of Aotearoa for current and future climates, and show results from this work that are being made available on our flood hazard and risk viewing platform to help ensure there is consistent information available.
Sixth Spatial Data Science Symposium
We invite the Geospatial community to attend or present geospatial work at the upcoming Sixth Spatial Data Science Symposium. SDSS2025 is a distributed/online symposium. Participants are welcome to join one of the symposium hubs distributed around the world. Groups of participants will meet at these hubs to present and discuss with other participants both in […]
Thanks to everyone who came to chat with the Geospatial Research Institute Toi Hangarau team at the University of Canterbury booth at Adaptation Futures 2025!
It was a busy and rewarding three days of demonstrations of our work in the adaptation space, including web apps for assessing how healthy communities are, a transport carbon emissions scenario planner, the Ōtakaro Digital Twin including predicted pollutant runoff from urban surfaces, and the Flood Resilience Digital Twin, enabling automated assessments of flood risk […]