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
Main Authors: Jiajun Feng, Yuanzhi Zhang, Qiuming Cheng, Kapo Wong, Yu Li, Jin Yeu Tsou
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421000039