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Detecting surface freeze/thaw states in Northeast China with passive microwave data using an improved standard deviation method

Hao-Ran MAN Yang XIAO Shu-Ying ZANG Miao LI Xing-Feng DONG

气候变化研究进展:英文版2023，Vol.14Issue(2)：P.190-199,10.

气候变化研究进展:英文版2023，Vol.14Issue(2)：P.190-199,10.DOI:10.1016/j.accre.2022.12.003

Detecting surface freeze/thaw states in Northeast China with passive microwave data using an improved standard deviation method

Hao-Ran MAN ¹Yang XIAO ¹Shu-Ying ZANG ¹Miao LI ¹Xing-Feng DONG¹

作者信息

1. Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions,Harbin Normal University,Harbin 150025,China Heilongjiang Province Collaborative Innovation Center of Cold Region Ecological Safety,Harbin 150025,China
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摘要

关键词

Microwave remote sensing/Surface F/T algorithm improvement/Seasonal snow areas/Classification/Northeast China

分类

天文与地球科学

引用本文复制引用

Hao-Ran MAN,Yang XIAO,Shu-Ying ZANG,Miao LI,Xing-Feng DONG..Detecting surface freeze/thaw states in Northeast China with passive microwave data using an improved standard deviation method[J].气候变化研究进展:英文版,2023,14(2):P.190-199,10.

基金项目

the National Natural Science Foundation of China(41971151 and 41901072) （41971151 and 41901072）

the Key Joint Program of the National Natural Science Foundation of China and Heilongjiang Province for Regional Development(U20A2082) （U20A2082）

the Natural Science Foundation of Heilongjiang Province of China(TD2019D002) （TD2019D002）

the Harbin Normal University(HSDBSCX2021-09). （HSDBSCX2021-09）

气候变化研究进展:英文版

OACSCD

ISSN：1674-9278

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