基于高分影像的林地覆盖遥感动态监测

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英文篇名：Dynamic sensing Remote monitoring of forest cover based on high-resolution images 作者：魏娜思 英文作者：Wei Nasi;College of Computer and Information Technology, Three Gorges University; 关键词：遥感 ; 变化监测 ; 变化小班 英文关键词：remote sensing;;change monitoring;;change subcompartment 中文刊名：信息通信 英文刊名：Information & Communications 机构：三峡大学计算机与信息学院; 出版日期：2019-03-15 出版单位：信息通信 年：2019 期：03 语种：中文; 页：24-27 页数：4 CN：42-1739/TN ISSN：1673-1131 分类号：P237;TP751

摘要

遥感监测具有高时效、高分辨率、低成本等优点。文章以高分影像为实验数据,对湖北省宜昌市点军区的林地资源进行变化监测,用最大似然法(maximum likelihood)进行分类,最后得到林地覆盖的变化小班。试验证明基于遥感影像的变化监测比人工实地勘察得到的林地更新数据要精准且省时,在大面积林地覆盖度的测量有很好的应用前景。
        Remote sensing monitoring has the advantages of high timeliness, high resolution and low cost. In this paper, GF images are used as experimental data to monitor the changes of forest resources in Dianjun District,Yichang city, Hubei Province.Maximum likelihood method is used to classify the changes of forest cover. The experiment proves that the change monitoring based on remote sensing image is more accurate and time-saving than the forest renewal data obtained by manual field survey,and it has a good application prospect in the measurement of forest cover in a large area.

引文

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