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Automated land cover change detection: the quest for meaningful high temporal time series extraction

Author: Salmon, BP ; Olivier, JC ; Kleynhans, W ; Wessels, Konrad J ; Van den Bergh, F Date: Jul 2010 An automated land cover change detection method is proposed that uses coarse resolution hyper-temporal satellite time series data. The study compared two different unsupervised clustering approaches that operate on the short term Fourier ... Read more
Developing an Observing Air-Sea Interactions Strategy (OASIS) for the global ocean

Author: Cronin, MF ; Swart, S ; Marandino, CA ; Anderson, C ; Browne, P ; Chen, S ; Joubert, WR ; Schuster, U ; Venkatesan, R ; Nicholson, Sarah-Anne Date: Sep 2022 The Observing Air–Sea Interactions Strategy (OASIS) is a new United Nations Decade of Ocean Science for Sustainable Development programme working to develop a practical, integrated approach for observing air–sea interactions globally for ... Read more
Improving features used for hyper-temporal land cover change detection by reducing the uncertainty in the feature extraction method

Author: Salmon, BP ; Kleynhans, Waldo ; Olivier, JC ; Schwegmann, Colin P Date: Jul 2017 The well-being of the environment is one of the major factors that contributes to sustainability. Sustainable human settlements require local governance to plan, implement, develop, and manage human settlements expansions. This is important ... Read more
Introducing you to satellite operated data collection platforms (DCP).

Author: Stavropoulos, CC Date: Sep 1977 The telemetering of information over long distances from unattended environmental monitoring equipment at remote sites can be difficult to carry out using conventional high frequency radio communication. This is because of the need to change ... Read more
Unsupervised land cover change detection: meaningful sequential time series analysis

Author: Salmon, BP ; Olivier, JC ; Wessels, Konrad J ; Kleynhans, W ; Van den Bergh, F ; Steenkamp, Karen C Date: Jun 2011 An automated land cover change detection method is proposed that uses coarse spatial resolution hyper-temporal earth observation satellite time series data. The study compared three different unsupervised clustering approaches that operate ... Read more

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Browsing by Subject "Satellite"

Browsing by Subject "Satellite"

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