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.
SmartSat partners, participants, students and staff are invited to come together to share their research outcomes and network with industry colleagues at the SmartSat CRC Conference 2023.
The SmartSat CRC is a consortium of universities and other research organisations, partnered with industry that has been funded by the Australian Government to develop know-how and technologies in advanced telecommunications and IoT connectivity, intelligent satellite systems and Earth observation next generation data services.
Landsat image courtesy NASA/GSFC
The 2024 edition of the International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2024) aims to create a meeting point of researchers and practitioners that address new challenges in geo-spatial data sensing, observation, representation, processing, visualization, sharing and managing, in all aspects concerning both ICT as well as management information systems and knowledge-based systems.
The conference welcomes original papers of either practical or theoretical nature, presenting research or applications, of specialised or interdisciplinary nature, addressing any aspect of geographic information systems and technologies, such as:
- Data acquisition and processing
- Remote sensing
- Interaction with spatial-temporal information
- Spatial data mining
- Managing spatial data
- Modelling, representation and visualisation
- GIS and climate change
- Domain applications