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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	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
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2020-10-01
Sarja:	Remote Sensing
Aiheet:	bias correction satellite-based precipitation spatiotemporal analysis object-based method storm events
Linkit:	https://www.mdpi.com/2072-4292/12/21/3538
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