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 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.
