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姜庆五, 刘建翔, 林涛, 韦建国, 赵根明, 林丹丹, 陈红根, 张绍基. 利用TM卫星遥感图像对鄱阳湖血吸虫病流行区水体识别的研究[J]. 中国公共卫生, 2001, 17(4): 289-290. DOI: 10.11847/zgggws2001-17-04-01
引用本文: 姜庆五, 刘建翔, 林涛, 韦建国, 赵根明, 林丹丹, 陈红根, 张绍基. 利用TM卫星遥感图像对鄱阳湖血吸虫病流行区水体识别的研究[J]. 中国公共卫生, 2001, 17(4): 289-290. DOI: 10.11847/zgggws2001-17-04-01
JIANO Qing-wu, . The Study on the Identification of the Water Body from Marshland in Schistosomiasis Endemie Areas Using TM Remote Sensing Data[J]. Chinese Journal of Public Health, 2001, 17(4): 289-290. DOI: 10.11847/zgggws2001-17-04-01
Citation: JIANO Qing-wu, . The Study on the Identification of the Water Body from Marshland in Schistosomiasis Endemie Areas Using TM Remote Sensing Data[J]. Chinese Journal of Public Health, 2001, 17(4): 289-290. DOI: 10.11847/zgggws2001-17-04-01

利用TM卫星遥感图像对鄱阳湖血吸虫病流行区水体识别的研究

The Study on the Identification of the Water Body from Marshland in Schistosomiasis Endemie Areas Using TM Remote Sensing Data

  • 摘要: 方法 对鄱阳湖洪水季节和枯水季节的卫星TM图像进行图像合成和重新赋值.使水体与其它不同类别的地物明显区分,并对其面积进行计算.结果 在枯水季节计算机屏幕上的鄱阳湖的水体中共采集了192083个像元,其中192066个(99.99%以上)灰度值位于2~5.9、11~11.9、38~41.9和45~45.9间.而非鄱阳湖的其它水体采样3223个像元,其中2948个(915%)位于以上灰度值内.枯水季节鄱阳湖区的水体面积约为鄱阳湖区的水体面积为1557.59km2.洪水季节采集86568个像元,其中86351个(99.75%)灰度值位于5~5.99、11~11.9、41~419和47~47.9间.而非鄱阳湖的其它水体采样7806个像元,7044个像元(90.23%)位于以上灰度值内.1998年洪水季节期间鄱阳湖区的水体面积为480785km2,约为枯水季节的3倍.重新赋值的形成的图像能将水体与周围的表面物体明显区别出来.结论 TM卫星遥感图像能作为与环境和水体有关卫星领域研究的工具.

     

    Abstract: Objective TM satellite images from Poyang Lake region were applied to clearly identify the water body from other land surface.Methods The remote sensing data of Poyang lake region was collected.The color image composed by the layers of TM3,TM4 and TM5.The value of color image of dry and flood season was assigned to separate the water body from other of land surface.Results The values of pixels of water body were collected from dryseason image are focus on dle value of 2~5.9,11~11.9,38~41.9 and 45~45.9.In the flood season,the value of pixels was focus on 5~5.9,11~11.9,41~41.9 and 47~47.9.The area of water body of Poyang Lake was about 4357526400m2 in dry season,and it was 5754122100m2 in flood season.After the value of colorimage assigned,the water body was clearly identified from others in the image.Conclusion TM remote sensing image analysis would be a tool that can be used in the health ecological study.

     

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