Join us for the first session in our ‘Locate Connect’ online learning series! Hear from Scott Dewar, Director, Chris Hewett, Assistant Secretary GEOINT Capability and Development & Phil Shears, Director DEF799 Phase 2.
In this session from 1300 – 1400, the Australian Geospatial-Intelligence Organisation (AGO) will be launching the Defence Geospatial-Intelligence (GEOINT) Strategy, a document that addresses how the Defence GEOINT Community will transform to meet the future needs of the Australian Defence Force. The AGO Executive will also provide an update on their GEOINT projects and announce upcoming opportunities for industry and discuss how the COVID-19 pandemic has impacted the organisation.
Then from 1430 – 1545, AGO, along with Frontier SI will describe how The Analytics Lab Program (AGO Labs) fits into the bigger picture of AGO capability and summarise the outcomes of their 2019 activities. AGO Labs, coordinated through FrontierSI, is investigating a number of ways to better engage and work with industry. Specifically, the AGO is keen to attract a wider pool of companies and technologies to draw on for automated geospatial intelligence. The primary focus of this program is to address AGO capability challenges through a small number of short-term industry projects, with a focus on machine learning and analytics for producing automated imagery analysis, including automated object classification. AGO will announce a new 2020 program of challenges hoping to find innovative solutions through their partnership with FrontierSI.
The Future of Place Summit aims to be a day filled with critical discussion, knowledge sharing and networking around the intersection of people, place technology and data.
The event will focus on four themes:
- Designing for digital lifestyles — A new human-centred planning approach
- From precinct plans to development reality — The evolving digital and data DNA of urban growth
- Data-inspired discussions — Tapping into the real voice of the community
- Streets reimagined — The digital backbone for better experiences
Delegates can take part in person or via Zoom.
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
