Title :
Snow depth retrieval based on a novel sea ice concentration algorithm from AMSR-E datasets
Author :
Tingting Zhu;Fei Li;Yu Zhang;Shengkai Zhang;Weifeng Hao;Liangpei Zhang
Author_Institution :
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, 430079, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
Temporal tie points have been manually selected for sea ice concentration retrieval based on the linear combination relationship between the open water and the complete ice coverage pixel. In this paper, the multichannel information has been exploited using the constrained least-squares linear unmixing algorithm from AMSR-E multi-channels brightness temperature. Snow depth can be obtained from the innovative algorithm without considering the weather effect.
Keywords :
"Sea ice","Snow","Brightness temperature","Antarctica","Accuracy","Channel estimation"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7325876
