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.

Xander Cai, presenting his work: Learning with Image Guidance for Digital Elevation Model Super-Resolution.
Xander Cai, presenting his work: Learning with Image Guidance for Digital Elevation Model Super-Resolution.
PhD student Andrea Pozo presenting her work: Hybrid Modelling for Rapid Flood Scenario Assessment.
PhD student Andrea Pozo presenting her work: Hybrid Modelling for Rapid Flood Scenario Assessment.
GRI PhD student Sunil Tamang presenting his poster: Machine learning-driven frameworks for quantifying rock glacier change in mountain regions.
GRI PhD student Sunil Tamang presenting his poster: Machine learning-driven frameworks for quantifying rock glacier change in mountain regions.
Martin Nguyen is talking about Estimating uncertainty in flood model outputs using machine learning.
Martin Nguyen is talking about Estimating uncertainty in flood model outputs using machine learning.
Saif Khan is talking about detection of vegetated Wetlands of NZ through Satellite Imagery and Machine Learning.
Saif Khan is talking about detection of vegetated Wetlands of NZ through Satellite Imagery and Machine Learning.
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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.

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