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首页> 外文会议>Earth Observation and Remote Sensing Applications (EORSA), 2012 Second International Workshop on >Information extraction method on coastal wetland using TM data: A case study in Dongying, Shandong, China
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Information extraction method on coastal wetland using TM data: A case study in Dongying, Shandong, China

机译：基于TM数据的沿海湿地信息提取方法-以山东省东营市为例

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As one of the most important ecosystems in the earth, wetlands need to be sufficiently protected from human interference. However, many wetlands in the world are degrading rapidly recent years, especially in China. The traditional method of monitoring wetlands by using field survey costs too much labor force and time. Nowadays, Remote Sensing data have been widely used in the researches of wetlands as the main data. This study was performed to propose an improved method of wetlands information extraction by using TM data. And an improved Maximum Likelihood method was proposed to obtain wetlands distribution more accurately with less noise. The wetlands distribution information and landscape parameters were extracted based on classification results of different years. Dongying City, located in the Yellow River delta, was chosen as the study area. The results showed the alteration of areas and landscape pattern of wetlands in Dongying from 2007 to 2010 and also revealed that this improved classification method could obtain wetlands distribution and landscape parameters effectively. The impact factors resulting in the wetlands alteration were also discussed to offer a reference for wetlands protection.
机译：作为地球上最重要的生态系统之一，需要充分保护湿地免受人类干扰。然而，近年来，世界上许多湿地正在迅速退化，特别是在中国。传统的通过实地调查来监测湿地的方法花费了大量的劳动力和时间。如今，遥感数据已作为主要数据被广泛用于湿地研究。进行这项研究是为了提出一种改进的利用TM数据提取湿地信息的方法。并提出了一种改进的最大似然法，以更准确地获得湿地的分布，并减少噪声。根据不同年份的分类结果提取湿地分布信息和景观参数。位于黄河三角洲的东营市被选为研究区域。结果表明，东营湿地的面积和景观格局在2007年至2010年之间发生了变化，并且表明该改进的分类方法可以有效地获得湿地的分布和景观参数。还讨论了导致湿地改变的影响因素，为湿地保护提供参考。

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