SNOW DEPTH RETRIEVAL BASED ON A NOVEL SEA ICE CONCENTRATION ALGORITHM FROM AMSR-E DATASETS

被引：0

作者：

Zhu, Tingting ^{[1
]}

Li, Fei ^{[1
,2
]}

Zhang, Yu ^{[3
]}

Zhang, Shengkai ^{[2
]}

Hao, Weifeng ^{[2
]}

Zhang, Liangpei ^{[1
]}

机构：

[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China

[2] Wuhan Univ, Chinese Antarctic Ctr Surveying & Mapping, Wuhan 430079, Peoples R China

[3] Wuhan Univ, Elect & Informat Sch, Wuhan 430072, Peoples R China

来源：

2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年

关键词：

Antarctic; Sea ice; Snow depths; Unmixing; AMSR-E;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：762 / 765

页数：4

共 3 条

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Brucker, Ludovic ;

Cavalieri, Donald J. ;

Markus, Thorsten ;

Ivanoff, Alvaro .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (11) :7336-7352

[2] Sea ice concentration, ice temperature, and snow depth using AMSR-E data [J].

Comiso, JC ;

Cavalieri, DJ ;

Markus, T .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (02) :243-252

[3]

Heinz D., 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), P1401, DOI 10.1109/IGARSS.1999.774644

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