Search Knowledge for policy

This event will provide a high-level overview of each of the organisations' intended activities and procurements, and it offers the opportunity for interested parties to ask questions.

This paper presents an overview of seven platforms for big Earth observation data management and analysis. It also provides a comparison of them according to criteria that represent capabilities...

At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed...

Cloud computing has completely transformed computing infrastructure over the past decade, opening exciting new possibilities for data distribution and analytics. As earth-observation data continue...

Big Data from Space refers to Earth and Space observation data collected by space-borne and ground- based sensors. Whether for Earth or Space observation, they qualify being...

The increasing amount of free and open geospatial data of interest to major societal questions calls for the development of innovative data-intensive computing platforms for the efficient and effective extraction of information...

The accurate location-specific information of the crop area, yield and production is critical for food security planning especially in developing countries where the living standards of the majority population largely...

This paper describes the Australian Geoscience Data Cube (AGDC), a ‘Big Data’ infrastructure that aims to realise the full potential of Earth observation data holdings for Australia.

Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a variety of high-impact societal issues including deforestation...

With the advent of massive internet computing at everyone’s fingertips, the practice of processing satellite images on local computers is coming to an end and Earth Observation is on its way to the ‘cloud’.