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遥感技术与应用  2016, Vol. 31 Issue (6): 1059-1068    DOI: 10.11873/j.issn.1004-0323.2016.6.1059
微波遥感专栏     
基于长时间序列ASAR数据的近海风场反演
张康宇1,王苏娟2,郭乔影1,李正泉3,韩冰1,王秀珍2,黄敬峰1
(1.浙江大学 遥感与信息技术应用重点实验室,浙江 杭州 310058;
2.杭州师范大学 遥感与地球科学研究院,浙江 杭州 311121;
3.浙江省气候中心,浙江 杭州 310007)
Measurement of Offshore Sea Surface Winds Using Long Time Series Data of ASAR
Zhang Kangyu1,Wang Sujuan2,Guo Qiaoying1,Li Zhengquan3,Han Bing1,Wang Xiuzhen2,Huang Jingfeng1
(1.Institute of Remote Sensing and Information Technology Application,
Zhejiang University,Hangzhou 310058,China;
2.Institute of Remote Sensing and Earth Sciences,Hangzhou Normal University,Hangzhou 311121,China;
3.Zhejiang Climate Center,Hangzhou 310007,China)
 全文: PDF(4938 KB)  
摘要:

首先获取覆盖浙江省近海215景长时间序列多模式ASAR Level 1B数据,对获取的ASAR数据进行几何校正、辐射定标、极化比转化、噪声剔除后,将所有的影像统一重采样得到1 km×1 km分辨单元的后向散射系数影像,尝试利用CCMP风向作为SAR风速反演地球物理模式函数的风向初始场,对比目前国际上最常用的3种模式函数CMOD4、CMOD\|IFR2和CMOD5的风速反演效果,将反演得到风速分别与CCMP插值风速和现场观测气象站点的风速进行对比,结果表明CCMP风向数据可作为SAR风速反演的风向初始场,其中结合CMOD4模式函数能够得到较高精度的反演风速,由于CCMP数据有效时间长、覆盖范围广、易于获取,因此联合CCMP风向有利于SAR近海风场反演的业务化应用。

关键词: SARCCMP海面风场    
Abstract:

Firstly,obtaining 215 long time series ASAR Level 1B data which are from different ASAR measurement modes.After the process of geometric rectification,radiometric calibration,polarization conversion,noise removal,image resampling,converting all the Level 1B data into the normalized radar backscatter coefficient images with the same pixel spacing of 1 km× 1 km.Secondly,wind directions from cross-calibrated muti\|platform (CCMP) were used as the initial wind directions to retrieve wind speeds from SAR images by using three most commonly used geophysical model functions (GMF):CMOD4,CMOD-IFR2,CMOD5.The comparison of wind speeds retrieved from SAR with interpolated CCMP wind speeds and with in\|situ meteorological stations wind speeds showed that wind directions from CCMP could be used as the initial wind directions for wind retrieval using SAR images,and using CMOD4 mode function could get the highest accuracy retrieval wind speeds.Since CCMP data valid for a long time,covering a wide range and easily accessible,the combination of CCMP wind direction and SAR images have an advantage for operational wind field retrieval in the future,a useful try has been carried out in this experiment.

Key words: SAR    CCMP    Ocean surface wind
收稿日期: 2015-10-30 出版日期: 2016-12-30
:  P 732  
基金资助:

公益性行业(气象)科研专项“多源测风资料融合技术研究及其在风能资源评估中的应用”(GYHY201306050),浙江省科技计划项目“近海面风场遥感协同反演方法研究及其应用”(2013C33068)。

通讯作者: 王秀珍(1961-),女,山东威海人,教授,博士导师,主要从事遥感应用研究。Email:wxz05160516@126.com。   
作者简介: 张康宇(1989-),男,广东湛江人,博士研究生,主要从事资源与环境遥感研究。Email:kangyuzhang@zju.edu.cn。
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引用本文:

张康宇,王苏娟,郭乔影,李正泉,韩冰,王秀珍,黄敬峰. 基于长时间序列ASAR数据的近海风场反演[J]. 遥感技术与应用, 2016, 31(6): 1059-1068.

Zhang Kangyu,Wang Sujuan,Guo Qiaoying,Li Zhengquan,Han Bing,Wang Xiuzhen,Huang Jingfeng. Measurement of Offshore Sea Surface Winds Using Long Time Series Data of ASAR. Remote Sensing Technology and Application, 2016, 31(6): 1059-1068.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.6.1059        http://www.rsta.ac.cn/CN/Y2016/V31/I6/1059

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