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Original Articles

A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations

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Pages 939-961 | Received 27 May 2016, Accepted 16 Oct 2016, Published online: 02 Nov 2016

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Manzhu Yu, Myra Bambacus, Guido Cervone, Keith Clarke, Daniel Duffy, Qunying Huang, Jing Li, Wenwen Li, Zhenlong Li, Qian Liu, Bernd Resch, Jingchao Yang & Chaowei Yang. (2020) Spatiotemporal event detection: a review. International Journal of Digital Earth 13:12, pages 1339-1365.
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Mehdi Amiri & Seyfollah Soleimani. (2022) A Hybrid Atmospheric Satellite Image-Processing Method for Dust and Horizontal Visibility Detection through Feature Extraction and Machine Learning Techniques. Journal of the Indian Society of Remote Sensing 50:3, pages 523-532.
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Manzhu Yu. (2020) A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification–An Example of Dust Events. ISPRS International Journal of Geo-Information 9:2, pages 127.
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Shaohua Wang, Yeran Sun, Yinle Sun, Yong Guan, Zhenhua Feng, Hao Lu, Wenwen Cai & Liang Long. (2019) A Hybrid Framework for High-Performance Modeling of Three-Dimensional Pipe Networks. ISPRS International Journal of Geo-Information 8:10, pages 441.
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Manzhu Yu, Chaowei Yang & Baoxuan Jin. (2018) A framework for natural phenomena movement tracking – Using 4D dust simulation as an example. Computers & Geosciences 121, pages 53-66.
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Mohamed F. Yassin, Sarah K. Almutairi & Ali Al-Hemoud. (2018) Dust storms backward Trajectories' and source identification over Kuwait. Atmospheric Research 212, pages 158-171.
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Seung-Bu Park, Steven Böing & Pierre Gentine. (2018) Role of Surface Friction on Shallow Nonprecipitating Convection. Journal of the Atmospheric Sciences 75:1, pages 163-178.
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