Machine learning-based prediction of sand and dust storm sources in arid Central Asia

With the emergence of multisource data and the development of cloud computing platforms, accurate prediction of event-scale dust source regions based on machine learning (ML) methods should be considered, especially accounting for the temporal variability in sample and predictor variables. Arid Cent...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Wei Wang, Alim Samat, Jilili Abuduwaili, Philippe De Maeyer, Tim Van de Voorde
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Taylor & Francis Group 2023-12-01
Sarja:	International Journal of Digital Earth
Aiheet:	susceptibility mapping event scale google earth engine (gee) remote sensing
Linkit:	http://dx.doi.org/10.1080/17538947.2023.2202421
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