GEO Business 2019
21 – 22 May 2019
Business Design Centre, London, UK

GEO Business is the largest geospatial event in the UK attracting over 2500 visitors from more than 50 countries. Incorporating an international trade exhibition, a strategic conference, cutting edge seminars, a programme of live commercial workshops and a popular programme of social events, GEO Business is designed for everyone involved in the gathering, storing, processing and delivery of geospatial information.

Organised in collaboration with the Royal Institution of Chartered Surveyors (RICS), the Chartered Institution of Civil Engineering Surveyors (ICES), The Survey Association (TSA), the Association for Geographic Information (AGI) and the Institution of Civil Engineers (ICE).

For more information visit www.GeoBusinessShow.com, email info@GeoBusinessShow.com or call +44(0)1453 836363.

Follow us on twitter: @GEOBusinessShow #geobiz, LinkedIn: GEO Business, Facebook: GEOBusinessShow or Instagram: GEOBusinessShow

The 2023 NSW Geospatial Conference and Awards Dinner will take place on Thursday, 24 August at the PARKROYAL Parramatta hotel and convention venue.

The conference will be an opportunity for professionals from all corners of the geospatial world to come together and hear about recent innovative projects, the latest research and current activities from across the NSW geospatial community. It will also be a great chance to network and learn about all the latest technology from multiple exhibitors.

Check out the full conference program here (PDF).

The conference will be capped off in the evening by the NSW Geospatial Excellence Awards, which will celebrate the best of the ACT and NSW geospatial industry.

Conference attendees can purchase their Awards Dinner ticket as part of their conference registration, or they can choose to just attend the dinner for $150 per person (a discount is available for group bookings).

Sponsorship opportunities are available, as is a 10% discount on accommodation at the PARKROYAL Parramatta.

Image credit: ©stock.adobe.com/au/borisblik

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.

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