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机构地区:[1]陕西科技大学资源与环境学院,陕西西安710021 [2]南京大学地理与海洋科学学院,江苏南京210093
出 处:《遥感技术与应用》2009年第2期238-245,共8页Remote Sensing Technology and Application
摘 要:我国工农业在过去几十年内迅速发展,随之而来的是大批环境问题的涌现,其中包括工农业对植物的污染问题。由于需要监测的范围越来越广、监测的对象越来越多,利用遥感技术监测受污植物受到越来越多的重视。首先提出了影响植被光谱的主要因素有叶绿素含量、细胞结构以及水含量,分析了植物在受到污染胁迫时光谱特征的变化,进而介绍了当前遥感监测植物污染胁迫的主要指标:植被指数和红边参数,并对主要植物污染物——重金属和烃类物质污染应用进行了详细阐述。指出了找到合适的植被指数和利用合适方法精确提取植被红边是监测的关键。最后对用遥感技术监测植物污染提出展望。In the last few decades,due to rapid economic development and urbanization,potentially harmful contamination of soils and vegetation has become increasingly serious in the world.Due to their persistent nature and long biological half-lives,contaminants can accumulate in the food chain.High contents of these contaminants are known to be very toxic to various biota.Hence,there is an increasing need to investigate the plant stress using the remote sensing method.Firstly,this paper pointed out the major factors affecting the spectral features of plants.These factors include chlorophyll concentration,cell structure and water content in leaves.The spectral variation of the stressed plants was analyzed.Secondly,the major indicators(vegetation index and red edge) by which to investigate plant stress using the remote sensing method were introduced.We also discussed the two applications of the remote sensing method for investigating plant stress.One is for heavy metal and the other is for oil contamination.We showed that appropriate vegetation index and the accurate position of red edge are the key to investigate vegetation stress.In the end,we showed the prospect of investigating vegetation stress using the remote sensing method for the future studies.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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