Are you a researcher, PhD or Computer Science student interested in learning more about imagery data? Join us to: • Discuss the fundamental concepts that define satellite imagery, • Learn about characteristics of satellite imagery and the structure of imagery data, • Practice – hands-on – to explore and analyse high-resolution imagery data, specifically using: […]
The Australian Space Data Analysis Facility will be hosting a presentation on Thursday Jun 17 from 4pm-5pm titled: Machine learning for semi‐automated meteorite recovery by Seamus Anderson. The session will present a novel methodology for recovering meteorite falls observed and constrained by fireball networks, using drones and machine learning algorithms. This approach uses images of the […]
The Australian Space Data Analysis Facility (ASDAF) is hosting a FREE event, investigating whether machine learning methods can develop predictive harvest models of a key nectar source for honeybees using data from weather stations and remotely sensed datasets. The seminar will be presented by Dr Tristan Campbell. Tristan is an experienced geoscientist, with over 20 […]
The Australian Space Data Analysis Facility (ASDAF) is hosting a FREE event this week, exploring A Remote Sensing Approach To Mapping Fire Severity in South-Eastern Australia Using Sentinel-2 and Random Forest. Accurate and consistent broad-scale mapping of fire severity is an important resource for fire management as well as fire-related ecological and climate change research. Remote sensing and […]
Join Professor Peter Klinken, WA’s Chief Scientist, in a showcase of WA’s digital economy through the perspective of leading WA data, cyber, space and compute facilities. At this virtual event, the Chief Scientist will present updates from Directors of the Australian Space Data Analysis Facility, WA’s Data Science Innovation Hub, WA’s AustCyber Innovation Hub and the Pawsey Supercomputing Research Centre and explore […]
The Australian Space Data Analysis Facility (ASDAF) is hosting a FREE event this week, exploring the integration of satellite imagery and environmental data to predict field-level cane and sugar yields in Australia using machine learning This session will be delivered by Dr. Yuri Shendryk, a GIS and Remote Sensing Specialist. Dr Yuri Shendryk is a GIS and Remote Sensing […]
To wrap up the virtual Mini Forum held by Earth Observation Australia, The Australian Space Data Analysis Facility is holding the AEO Mini Forum Perth Sundowner Event on the 25th August 2021. Enjoy a night of networking and intriguing discussion topics around earth observation such as possible opportunities, emerging trends, transitioning into the space sector, […]
Following the recent launch of our Expression of Interest process, join our information session where we explain and take you through the process and selection of specialised space data analytics project for Australian SMEs ready to validate and prototype to the market. If you are an established Australian SME ready to take your robust product or service […]
Join us for an IN-PERSON four-day bootcamp where you will learn the tools and techniques for analysing and using earth observation data. In particular, this bootcamp will provide an introduction to the Python programming language, the Pandas library, and the Plotly visualisation tool. It will also provide you with a foundational understanding of Google Earth […]
The Australian Space Data Analysis Facility (ASDAF) is hosting a FREE event this week, exploring InletTracker: An open-source Python toolkit for historic and near real-time monitoring of coastal inlets from Landsat and Sentinel-2. Despite their high ecological and socio-economic significance, there is often a lack of knowledge on the long-term dynamics of intermittent coastal inlets such as those found […]
Modern satellite imaging offers radical new insights of the challenges and opportunities confronting traditional Aboriginal ecology and land use in Australia’s Western Desert. Here Dr. Wallace Boone Law shows an approach to model the likely dynamics of historic and pre-contact desert land use using Earth observation data to identify the distribution of suitable foraging habitats. […]
