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International Journal of Remote Sensing Volume 26, 2005 - Issue 8
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Application of an automated cloud‐tracking algorithm on satellite imagery for tracking and monitoring small mesoscale convective cloud systems

H. Feidas Corresponding author University of the Aegean, Department of Geography, University Hill, Building of Geography, GR‐81100, Mytilene, Greece
&
C. Cartalis University of Athens, Department of Physics, Division of Applied Physics, Build. PHYS‐V, Athens, GR‐15784, Greece
Pages 1677-1698 | Received 16 Jan 2004, Accepted 14 Oct 2004, Published online: 22 Feb 2007

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Salomon Ramirez & Ivan Lizarazo. (2017) Detecting and tracking mesoscale precipitating objects using machine learning algorithms. International Journal of Remote Sensing 38:18, pages 5045-5068.
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P. Aplin. (2006) On scales and dynamics in observing the environment. International Journal of Remote Sensing 27:11, pages 2123-2140.
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Articles from other publishers (14)

Wenwen Li, Feng Zhang, Yueyue Yu, Hironobu Iwabuchi, Zhongping Shen, Guoyin Wang & Yijun Zhang. (2020) The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm. Climate Dynamics 56:1-2, pages 357-379.
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Andrea Melchiorre, Luigi Boschetti & David P. Roy. (2020) Global Evaluation of the Suitability of MODIS-Terra Detected Cloud Cover as a Proxy for Landsat 7 Cloud Conditions. Remote Sensing 12:2, pages 202.
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Tobias Sirch, Luca Bugliaro, Tobias Zinner, Matthias Möhrlein & Margarita Vazquez-Navarro. (2017) Cloud and DNI nowcasting with MSG/SEVIRI for the optimized operation of concentrating solar power plants. Atmospheric Measurement Techniques 10:2, pages 409-429.
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Weibo Liu & Xingong Li. (2016) Life Cycle Characteristics of Warm-Season Severe Thunderstorms in Central United States from 2010 to 2014. Climate 4:3, pages 45.
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Barnali Goswami & Gupinath Bhandari. (2012) Convective Cloud Detection and Tracking from Series of Infrared Images. Journal of the Indian Society of Remote Sensing 41:2, pages 291-299.
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Daniel C. Hartung, Justin M. Sieglaff, Lee M. Cronce & Wayne F. Feltz. (2013) An Intercomparison of UW Cloud-Top Cooling Rates with WSR-88D Radar Data. Weather and Forecasting 28:2, pages 463-480.
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S. Melani, F. Pasi, B. Gozzini & A. Ortolani. (2013) A four year (2007–2010) analysis of long-lasting deep convective systems in the Mediterranean basin. Atmospheric Research 123, pages 151-166.
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Clémence Goyens, Dirk Lauwaet, Marc Schröder, Matthias Demuzere & Nicole P. M. Van Lipzig. (2011) Tracking mesoscale convective systems in the Sahel: relation between cloud parameters and precipitation. International Journal of Climatology 32:12, pages 1921-1934.
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Nikolai Dotzek & Caroline Forster. (2011) Quantitative comparison of METEOSAT thunderstorm detection and nowcasting with in situ reports in the European Severe Weather Database (ESWD). Atmospheric Research 100:4, pages 511-522.
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Moriah Kohn, Eli Galanti, Colin Price, Kostas Lagouvardos & Vassiliki Kotroni. (2011) Nowcasting thunderstorms in the Mediterranean region using lightning data. Atmospheric Research 100:4, pages 489-502.
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T. Zinner, H. Mannstein & A. Tafferner. (2008) Cb-TRAM: Tracking and monitoring severe convection from onset over rapid development to mature phase using multi-channel Meteosat-8 SEVIRI data. Meteorology and Atmospheric Physics 101:3-4, pages 191-210.
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G. Delgado, A. Redaño, J. Lorente, R. Nieto, L. Gimeno, P. Ribera, D. Barriopedro, R. García-Herrera & A. Serrano. (2006) Cloud cover analysis associated to cut-off low-pressure systems over Europe using Meteosat Imagery. Meteorology and Atmospheric Physics 96:1-2, pages 141-157.
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Timothy J. Bellerby. (2006) High-Resolution 2-D Cloud-Top Advection From Geostationary Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing 44:12, pages 3639-3648.
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Jianting Zhang. (2006) Tracking Dynamics of Geospatial Phenomena in Distributed and Heterogeneous Environments Using Scientific Workflow and Web Services Technologies. Tracking Dynamics of Geospatial Phenomena in Distributed and Heterogeneous Environments Using Scientific Workflow and Web Services Technologies.

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