HJ-1B/IRS水温反演模型及监测示范

doi:10.6046/gtzyyg.2011.02.15

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摘要

利用2008～2009年期间约10景HJ-1B/IRS热红外波段遥感数据和过境时刻相应的气象观测数据，以EOS/MODIS温度产品为参照，在单窗算法的基础上，基于水体目标对该算法的参数进行修正，建立HJ-1B/IRS水体温度反演模型；将该模型反演的水体温度及采用单窗算法参数计算的温度与EOS/MODIS温度产品进行比较结果表明：采用单窗算法参数计算出的水体温度与EOS/MODIS温度产品的绝对平均误差为7.84℃；采用本研究得到的参数所反演的温度与EOS/MODIS温度产品的绝对平均误差为0.83℃。将水温反演模型应用于辽东湾区域，实现对该区域水温的动态监测。

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关键词 ：野鸭湖, 湿地, 多源遥感影像融合, 叠置分析, 分形维数(D), 稳定性指数(SK)

Abstract：

Water surface temperature is one of the important environmental parameters at the breeding aquatics area in shore. The highly dynamic monitoring of this temperature will help to arrange aquaculture production and breeding production. Remote sensing technology is a very efficacious means for monitoring water surface temperature in high dynamic condition. At present, weather and ocean satellites which have lower spatial resolution are widely used in water surface temperature remote sensing monitoring, with the spatial resolution being 1 000 m. However, water bodies in shore are influenced by land and ocean as well as the spatial changes of water surface temperature, and hence satellites data which have higher spatial resolution are needed to meet the monitoring for water surface temperature in high dynamic condition. HJ-1B/IRS has a 4-band infrared sensor (IRS). One of the bands is the thermal band which can be used to retrieve water surface temperature. In this paper, data of about ten images of HJ-1B/IRS thermal band obtained from 2008 to 2009 and the atmosphere measurement data at the time when the HJ-1B satellite passed through the area were collected. Based on the monowindow algorithm and referring to the temperature product from EOS/MODIS, the authors established a model for water surface temperature retrieval from HJ-1B/IRS data. Moreover, a comparison was made between two retrieval methods for surface temperature from HJ-1B/IRS thermal band and from the temperature product by EOS/MODIS. The results show that the absolutely average temperature error from the monowindow algorithm and from the temperature product by EOS/MODIS is 7.84℃, while that from the method proposed in this paper is 0.83℃. The model for water surface temperature retrieval from HJ-1B/IRS data established in this paper was applied in the area of Liaodong Bay for the purpose of carrying out dynamic monitoring of water surface temperature.

Key words： Wild duck lake Wetland Data fusion in multi-sources remotely sensed imagery Superposition analysis Fractal dimension Level of stability.

收稿日期: 2010-07-16 出版日期: 2011-06-17

:
	TP 79

基金资助:

“十一五”科技支撑项目“基于环境一号等国产卫星的环境遥感监测关键技术及软件研究”（编号: 2008BAC34B05-5）；国家自然科学基金项目“水体石油类污染遥感探测机理和识别模型研究”（编号: 40771196）。

作者简介: 黄妙芬（1963 -），女，教授/博士，主要从事热红外遥感和水色遥感方面的研究。

引用本文:

黄妙芬, 毛志华, 邢旭峰, 孙中平, 赵祖龙, 黄薇. HJ-1B/IRS水温反演模型及监测示范[J]. 国土资源遥感, 2011, 23(2): 81-86.
HUANG Miao-Fen, MAO Zhi-Hua, XING Xu-Feng, SUN Zhong-Ping, ZHAO Zu-Long, HUANG Wei.
A Model for Water Surface Temperature Retrieval from HJ-1B/IRS Data and Its Application. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 81-86.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2011.02.15 或 https://www.gtzyyg.com/CN/Y2011/V23/I2/81

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