Effect of melt ponds fraction on sea ice anomalies in the Arctic Ocean

We used deep learning networks to establish a relationship model among MODIS daily surface reflectance product (MOD09GA) and Arctic melt ponds fraction (MPF), ice fraction (IF), and open water fraction (OWF). We applied this model to MODIS 8-day surface reflectance (MOD09A1) to derive Arctic 8-day M...

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Bibliographic Details
Published in:International Journal of Applied Earth Observation and Geoinformation
Main Authors: Jiajun Feng, Yuanzhi Zhang, Qiuming Cheng, Kapo Wong, Yu Li, Jin Yeu Tsou
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2021
Subjects:
Online Access:https://doi.org/10.1016/j.jag.2021.102297
https://doaj.org/article/a98f54b8e30a4d5b907a46891d529799