ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite

Advances in near real-time rainstorm prediction using remote sensing have offered important opportunities for effective disaster management. However, this information is subject to several sources of systematic errors that need to be corrected. Temporal and spatial characteristics of both satellite...

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書誌詳細

主要な著者:	Miguel Laverde-Barajas, Gerald A. Corzo, Ate Poortinga, Farrukh Chishtie, Chinaporn Meechaiya, Susantha Jayasinghe, Peeranan Towashiraporn, Amanda Markert, David Saah, Lam Hung Son, Sothea Khem, Surajate Boonya-Aroonnet, Winai Chaowiwat, Remko Uijlenhoet, Dimitri P. Solomatine
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-10-01
シリーズ:	Remote Sensing
主題:	bias correction satellite-based precipitation spatiotemporal analysis object-based method storm events
オンライン･アクセス:	https://www.mdpi.com/2072-4292/12/21/3538
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