Extracting Time-Series of Wet-Snow Facies in Greenland Using Sentinel-1 SAR Data on Google Earth Engine

Accurate information on the dynamic change of wet-snow facies (WSF) in Greenland is important in investigating the mass balance of Greenland ice sheets and assessing global sea level rise. In this study, we proposed a rapid WSF extraction algorithm, referred to as difference method, for extracting W...

Full description

Bibliographic Details
Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Jiao Hu, Tingbin Zhang, Xiaobing Zhou, Liming Jiang, Guihua Yi, Bo Wen, Yang Chen
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2022
Subjects:
Big data
Google Earth Engine (GEE)
greenland
synthetic aperture radar (SAR)
wet-snow facies (WSF)
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Greenland
The Sentinel
Online Access:https://doi.org/10.1109/JSTARS.2022.3192409
https://doaj.org/article/b3adb4febfcc4070a6d3b91ba48efc9e
Description
Summary:Accurate information on the dynamic change of wet-snow facies (WSF) in Greenland is important in investigating the mass balance of Greenland ice sheets and assessing global sea level rise. In this study, we proposed a rapid WSF extraction algorithm, referred to as difference method, for extracting WSF at a continental scale and with high spatial resolution using the Sentinel-1 synthetic aperture radar (SAR) data available on Google Earth Engine. We used this method to extract the WSF in Greenland from May to October in recent 6 years. Accuracy of the extracted results was evaluated using air temperature data from Greenland automatic weather station. Results suggested that the difference method has good precision in extracting WSF from Sentinel-1 SAR data, and can process a large amount of data simply, quickly, and effectively.

Similar Items