An improvement of snow/cloud discrimination from machine learning using geostationary satellite data
Snow and cloud discrimination is a main factor contributing to errors in satellite-based snow cover. To address the error, satellite-based snow cover performs snow reclassification tests on the cloud pixels of the cloud mask, but the error still remains. Machine Learning (ML) has recently been appli...
| Autori principali: | , , , , , , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
Taylor & Francis Group
2022-12-01
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| Serie: | International Journal of Digital Earth |
| Soggetti: | |
| Accesso online: | http://dx.doi.org/10.1080/17538947.2022.2152886 |