风云三号MERSI数据提取北冰洋海冰信息方法研究

大气与环境光学学报 ›› 2013, Vol. 8 ›› Issue (1): 53-59.

风云三号MERSI数据提取北冰洋海冰信息方法研究

周颖1,2, 巩彩兰1, 胡勇1, 李志乾3, 孟鹏1

（1 中国科学院上海技术物理研究所，上海 200083；
2 中国科学院大学，北京 100049；
3 山东省科学院海洋仪器仪表研究所，青岛 266001）

出版日期:2013-01-28 发布日期:2013-01-07
通讯作者: 周颖(1985-)，女，湖北利川人，博士研究生，主要从事遥感信息应用研究。 E-mail:zhouying_85@126.com
作者简介:周颖(1985-)，女，湖北利川人，博士研究生，主要从事遥感信息应用研究。
基金资助:
国家科技支撑计划项目（2012BAH31B02-02)、中科院上海技术物理研究所创新专项项目(Q-ZY-52)资助

Extraction of Sea Ice Information in the Arctic Ocean by Using FY-3/MERSI Data

ZHOU Ying 1,2, GONG Cai-lan1, HU Yong1，LI Zhi-qian3, MENG Peng1

(1 Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao 266001, China)

Published:2013-01-28 Online:2013-01-07

摘要/Abstract

摘要：

海冰是制约北冰洋航路开发最为重要的因素之一，FY-3卫星上搭载的中分辨率光谱成像仪（MERSI)扫描范围大，一天之内可获得5次以上极地同一地区观测数据，有利于北冰洋海冰状况的动态监测。以格陵兰岛附近海域为研究区域，利用2011年6月13日MERSI多波段数据，经过辐射定标、投影定位等预处理后，以两波段比值和归一化差分积雪指数(NDSI)作为判别指标，采用最大类间方差阈值法对指标图像进行分割，实现海冰、海水和云的区分，准确获取格陵兰岛附近海冰分布信息。该研究可为国产卫星数据在北冰洋航路选择和航运安全保障方面的应用提供技术支持。

关键词: MERSI, 海冰, 波段比值, 归一化差分积雪指数

Abstract:

Sea ice is one of the most important factors restricting the development of the Arctic Ocean passage. The medium resolution spectral imager (MERSI) onboard Storm III satellite (FY-3) has the advantage of large scanning range, so it is available to collect observational data of the same area in the Polar Regions more than five times within a day. It helps to monitor sea ice in the Arctic Ocean dynamically. Using MERSI multi bands data, the sea ice distribution information around Greenland on June 13, 2011, is obtained accurately by the presented method. Firstly, it was necessary to carry out radiometric calibration, projection and other preprocessing to the data. Secondly, taking two bands ratio and normalized different snow index (NDSI) as the recognition parameters, the sea ice, water and cloud were distinguished by the maximum between-class variance threshold method. This results can provide technical support for the application of domestic satellite data in optimal route selection and shipping security in the Arctic Ocean.

Key words: medium resolution spectral imager, sea ice, bands ratio, normalized different snow index

中图分类号:

TP79

周颖巩彩兰胡勇李志乾孟鹏. 风云三号MERSI数据提取北冰洋海冰信息方法研究[J]. 大气与环境光学学报, 2013, 8(1): 53-59.

ZHOU Ying, GONG Cai-Lan, HU Yong, LI Zhi-Qian, MENG Peng. Extraction of Sea Ice Information in the Arctic Ocean by Using FY-3/MERSI Data[J]. Journal of Atmospheric and Environmental Optics, 2013, 8(1): 53-59.

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