Automated ice-sheet snowmelt detection using microwave radiometer measurements

Polar research

Huadong Guo¹  Xiao Cheng¹  Lei Liang⁴  Xinwu Li⁴ 

[1] Digital Earth, Chinese Academy of Sciences, 9 Dengzhuang South Road, Beijing 100094, China;Digital Earth, Chinese Academy of Sciences, 9 Dengzhuang South Road, Beijing 100094, ChinaCorrespondence;College of Global Change and Earth System Science, 19 XinJieKouWai Street, HaiDian District, Beijing 100875, China;Key Laboratory of Digital EarthInstitute of Remote Sensing &

关键词: Ice sheet;    snowmelt detection;    radiometer;    cross-gradient polarization ratio;    wavelet transformation;    generalized Gaussian model;   

DOI  :  10.3402/polar.v32i0.19746

学科分类：自然科学（综合）

来源: Co-Action Publishing

【 摘 要 】

Monitoring ice-sheet snowmelt is fundamental to understanding global climate change. A simple and automated snowmelt detection process is critical to the establishment of an ice-sheet snowmelt monitoring system. However, different ice-sheet snowmelt detection methods are based on a variety of thresholding schemes using different melt signals for dry and wet snow; these complicate the regular operation of an ice-sheet snowmelt monitoring. We propose an automated melt signal detection method developed using melt signals derived from the cross-gradient polarization ratio snowmelt detection method over Greenland and the wavelet transformation-based snowmelt detection method over Antarctica. Initial results indicate that the proposed method not only increases computational efficiency, practicability and operability but is also more accurate.

【 授权许可】

CC BY-NC