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Open Space-based Data and Data Cubes, Open Data and Open Knowledge Workshop, 2023
2023This Knowledge Resource corresponds to the session "Open Space-based Data and Data Cubes" during Open Knowledge Workshop 2023, Geneva, Switzerland. Recent advancements of satellite data sharing and use cases were presented in this session. The session divided into two parts: The first part focused on open space-based data with regional examples of how
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Overview of the Open Data Cube Initiative
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018The Open Data Cube (ODC) initiative seeks to increase the value and impact of global Earth observation satellite data by providing an open and freely accessible data exploitation architecture and to foster a community to develop, sustain, and grow the technology and the breadth and depth of its applications for societal benefit.
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Open Data Cube (ODC) Visualization: Bridging the Gap between Data, Decisions, and Development Goals
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020The use of satellite Earth Observation (EO) data to make important local, regional, and national decisions has become increasingly important as society works toward collective benefit through global sustainable development frameworks such as the United Nations Sustainable Development Goals.
Sanjay Gowda, Brian Killough
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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Open Data Cube (ODC) is an open source platform that allows analysis experts to easily and quickly access and process satellite information that observes the earth. The platform is stored and managed in the form of a data tube based on image and time series information including geographic locations.
Kwangseob Kim, Kiwon Lee
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Open Data Cube (ODC) is an open source platform that allows analysis experts to easily and quickly access and process satellite information that observes the earth. The platform is stored and managed in the form of a data tube based on image and time series information including geographic locations.
Kwangseob Kim, Kiwon Lee
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2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Collecting data via small Unmanned Aerial Systems (UASs) can fill a niche amongst geospatial data collection methods by providing recent, very high-resolution imagery, at a fraction of the cost of space-based providers. We detail an end-to-end system for acquiring, processing, and importing data into the Open Data Cube (ODC), a free and open-source ...
Otto Wagner +5 more
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Collecting data via small Unmanned Aerial Systems (UASs) can fill a niche amongst geospatial data collection methods by providing recent, very high-resolution imagery, at a fraction of the cost of space-based providers. We detail an end-to-end system for acquiring, processing, and importing data into the Open Data Cube (ODC), a free and open-source ...
Otto Wagner +5 more
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IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Mapping waterbodies variations through time is only possible thanks to the use of in-situ hydrometric sensors or remotely sensed data. Few areas around the world count with a functional in-situ sensor’s network, but all areas can be observed with satellite imagery.
Peppa, Maria Valasia +3 more
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Mapping waterbodies variations through time is only possible thanks to the use of in-situ hydrometric sensors or remotely sensed data. Few areas around the world count with a functional in-situ sensor’s network, but all areas can be observed with satellite imagery.
Peppa, Maria Valasia +3 more
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Open Data Cube Products Using High-Dimensional Statistics of Time Series
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018We describe some new techniques based on high-dimensional statistics of time series to create continental-scale products from Earth Observation data. These methods are developed on the Australian Open Data Cube called ‘Digital Earth Australia’. We provide an overview of these new ‘second order’ statistical algorithms and show how they can be used in ...
Bex Dunn, Norman Mueller, Dale Roberts
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A Novel Architecture of Jupyterhub on Amazon Elastic Kubernetes Service for Open Data Cube Sandbox
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020The Open Data Cube (ODC) initiative, with support from the Committee on Earth Observation Satellites (CEOS) System Engineering Office (SEO) has developed a state-of-the-art suite of software tools and products to facilitate the analysis of Earth Observation data.
Brian Killough +5 more
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LogLInc: LoG Queries of Linked Open Data Investigator for Cube Design
2019By avoiding the ‘data not invented here’ syndrome (NIH) (Data not invented here (NIH) syndrome is a mindset that consists in focusing solely on using data created inside the walls of a business (https://urlz.fr/9Yo9)), companies realized the benefit of including external sources in their data cube. In this context, Linked Open Data (LOD) is a promising
Khouri, Selma +4 more
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Integration of the Open Data Cube on Common Cloud Frameworks
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Joshua R. Baptist +4 more
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