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机构地区:[1]南京大学地理信息科学系,南京200093 [2]中国科学院南京地理与湖泊研究所,南京210008 [3]河海大学水文水资源学院,南京210098
出 处:《生态经济》2009年第5期139-143,共5页Ecological Economy
基 金:国家科技支撑计划“水源地水质在线监测与蓝藻水华预测预警技术研究”(2007BAC26B01);国家科技基础重点专项“中国湖泊水质、水量和生物资源调查”(2006FY110600)
摘 要:叶绿素是反映水体富营养化程度的一个重要参数,遥感提取内陆水体叶绿素浓度是实现内陆水体富营养化动态监测的一个重要途径。内陆水体大部分属于二类水体,受人类活动干扰较大,富营养化严重,其复杂的水体光学特性增加了叶绿素遥感信息提取的难度。目前内陆水体叶绿素遥感信息提取取得了一定的进展,但提取的精度有待进一步提高,模型的普适性与稳定性需进一步研究。文章总结了近年来内陆水体叶绿素遥感提取所用的遥感数据源及其提取方法;分析了各遥感数据及提取方法的优缺点;讨论了目前内陆水体叶绿素遥感信息提取存在的问题并对研究进行了展望。Chlorophyll is an important parameter reflecting the degree of water eutrophication. Its extraction using remote sensing is an important way to monitor dynamic of water eutrophication. Since inland water normally serous interfered by human activities, most of them belong to case II water. Their optical properties are very complicated, which increase the difficulty to its chlorophyll extracting. At present, the chlorophyll extraction using remote sensing has been achieved prominent advancement. But the extraction precision still needs to be further improved. And the universality and stability of extraction model needs to be further enhanced. In this article, remote sensing data and method for inland water chlorophyll extraction has been summarized. Their advantages and disadvantages are also analyzed. At the end, the existing problems of chlorophyll extraction in inland water are discussed and some prospects about their further studies are inferred.
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