Calendar

Aug
1
Mon
Survey and Spatial NZ conference @ Novotel Lakeside, Rotorua
Aug 1 @ 9:00 am – Aug 3 @ 5:00 pm
Survey and Spatial NZ conference @ Novotel Lakeside, Rotorua

Survey and Spatial NZ’s 2022 conference will be held from 1 to 3 August at the Novotel Lakeside, Rotorua. The conference is the biggest continuing professional development event of the year for NZ surveying and spatial professionals. It invites sharing of knowledge amongst peers, bringing together networking opportunities for all delegates and is an essential event for professional development and connectivity within the sector.

The choice of Rotorua as the location is apt, given the conference theme of ‘Turning up the Heat’. The organisers aim to stimulate discussion regarding challenges in regional areas, which include climate change and developments outside of Auckland.

Apr
8
Mon
MIGARS 2024 Conference @ Wellington, Aotearoa New Zealand
Apr 8 – Apr 10 all-day
MIGARS 2024 Conference @ Wellington, Aotearoa New Zealand

The International Association of the IEEE-Geoscience and Remote Sensing Society (GRSS), the IEEE-Computational Intelligence Society (CIS) and the local organising committee invite geospatial and computing professionals to attend the International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) to be held in Wellington, Aotearoa New Zealand in April 2024.

MIGARS aims to explore the interface of machine intelligence approaches with geosciences, spatial analytics, and remote sensing. With the tremendous developments in remote sensing technology, data acquisitions and sensing platforms, digital data have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources, such as multi-platform remote sensors and IoT devices, informing decision-making and monitoring our planet.

The conference will focus on connecting researchers from various disciplines, including computation/artificial intelligence, engineering, remote sensing, hydrology, agriculture and geosciences, and look for the potential use of intelligent computational approaches for geo-data-based applications and for serving society at large.

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