FY-3/VIRR资料积雪多阈值综合判识方法研究

doi:10.11873/j.issn.1004-0323.2015.6.1076

遥感技术与应用

2015, Vol. 30

Issue (6): 1076-1084 DOI: 10.11873/j.issn.1004-0323.2015.6.1076

积雪遥感专栏

FY-3/VIRR资料积雪多阈值综合判识方法研究

张永宏^1,2,任伟²,曹庭²,田伟³,王剑庚⁴,卢晶⁵

（1.南京信息工程大学气象灾害预报预警与评估协同创新中心,江苏南京210044;
2.南京信息工程大学信息与控制学院,江苏南京210044;
3.南京信息工程大学计算机与软件学院,江苏南京210044;
4.南京信息工程大学大气物理学院,江苏南京210044;
5.美国俄克拉荷马州立大学计算机科学系,美国俄克拉荷马74078）

Method of Snow Multi-threshold Comprehensive Discrimination with FY-3/VIRR Data

Zhang Yonghong^1,2,Ren Wei²,Cao Ting²,Tian Wei³,Wang Jiangeng⁴,Lu Jing⁵

(1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,
Nanjing University of Information Science & Technology,Nanjing 210044,China;
2.School of Information Science Control,Nanjing University of 
Information Science & Technology,Nanjing 210044,China;
3.School of computer science & Technology,Nanjing University of
Information Science & Technology,Nanjing 210044,China;
4.School of Atmospheric Physics,Nanjing University of
Information Science & Technology,Nanjing 210044,China;
5.Department of Computer Science,Oklahoma State University,Oklahoma 74078,USA)

全文: PDF(12374 KB)

摘要：

利用卫星遥感监测积雪分布相比地面观测具有明显优势,目前基于FY-3卫星数据在积雪监测方面的研究较少。借鉴现有积雪卫星遥感监测算法,研究出适用于FY-3/VIRR资料的积雪判识方法,利用归一化积雪指数和多波段综合阈值实现积雪判识,提取积雪信息生成区域二值化积雪分布图。通过实例分析验证算法有效可行,并与MODIS积雪产品MOD10及其L1B数据NDSI判识结果进行对比,说明算法判识结果良好。研究表明,FY-3卫星数据可作为积雪遥测的可靠资料来源,可延用于积雪监测与灾害预警业务系统中,促进国产卫星数据的应用与推广。

关键词： 遥感监测; FY-3/VIRR; 积雪提取; 综合阈值; MODIS

Abstract:

Monitoring the distribution of snow coverage via satellite remote sensing has an clear advantage over surface observation.And a few studies have been carried out about snow monitoring based on FY-3 data.A snow-discriminating method applying to FY-3/VIRR data with snow-satellite remote sensing monitoring algorithm is provided which is achieved by normalized difference snow index and multi-band comprehensive threshold,and regional snow cover classification maps are extracted.This algorithm is proved to be effective and feasible by case analysis,and results comparisons are carried out with MODIS snow products MOD10 and its first level data identification results,which demonstrated this algorithm has dominant discriminating results.The study shows that FY-3 data is a reliable source of snow telemetry and can be used in snow monitoring and disaster predictive warning service,which facilitates the application and popularization of domestic satellite.

Key words: Remote Sensing FY-3/VIRR Snow cover extraction Comprehensive Threshold MODIS

收稿日期: 2014-04-18 出版日期: 2016-01-25

P426.63+5

基金资助:

国家自然科学基金重大研究计划（91337102），江苏省基础研究计划(自然科学基金)（BK20140997），江苏省高校自然科学研究项目(14KJB170017)。

通讯作者: 任伟(1990-)，男，硕士研究生，江苏泰州人，主要从事遥感监测与信息技术研究。Email:nj1221406@gmail.com。

作者简介: 张永宏(1974-)，男，山东临沂人，教授，主要从事大气遥感监测,图像处理分析研究。Email:zyh@nuist.edu.cn。

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引用本文:

张永宏,任伟,曹庭,田伟,王剑庚,卢晶. FY-3/VIRR资料积雪多阈值综合判识方法研究[J]. 遥感技术与应用, 2015, 30(6): 1076-1084.

Zhang Yonghong,Ren Wei,Cao Ting,Tian Wei,Wang Jiangeng,Lu Jing. Method of Snow Multi-threshold Comprehensive Discrimination with FY-3/VIRR Data. Remote Sensing Technology and Application, 2015, 30(6): 1076-1084.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.6.1076 或 http://www.rsta.ac.cn/CN/Y2015/V30/I6/1076

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