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厦门西港红树林的卫星遥感测绘
引用本文:林荣盛,章文毅.厦门西港红树林的卫星遥感测绘[J].台湾海峡,1994,13(3):297-302.
作者姓名:林荣盛  章文毅
作者单位:国家海洋局第三海洋研究所!厦门,361005(林荣盛,林敏基,滕骏华),中国科学院遥感卫星地面部!北京,100086(章文毅)
基金项目:厦门市海洋处海洋科学基金,厦门市科委、市计委和市建委的委托项目!“厦门城市与土地资源航天遥感模式研究”
摘    要:厦门西港原有大面积红树林,几十年来受到很大破坏,需采取措施进行监测绘和管理,卫星遥感宏观大尺度,可以快速,准确地进行红树林的监测测绘,比传统的人工调查方法省时省力。本项目运用Landsat卫星TM-CCT数字影像磁带为信息源。通过图像计算机系统进行几保精校正,假彩色合成,SCALE线性增强和一阶直方图分段线性拉伸;训练区监督分类,以及红树林区的面积积分运算等步骤,获得了厦门西港红树林区1:5000

关 键 词:红树林  遥感测绘  港湾  卫星遥感

Remote sensing survey and mapping of mangroves in western Xiamen Harbour
Lin Rongsheng, Lin Minji and Teng Junhua.Remote sensing survey and mapping of mangroves in western Xiamen Harbour[J].Journal of Oceanography In Taiwan Strait,1994,13(3):297-302.
Authors:Lin Rongsheng  Lin Minji and Teng Junhua
Abstract:There was a large area of mangroves distributed in the western Xiamen Harbour, but it has been damaged a lot in recent decades. In order to manage and monitor mangrove re sources, some measures are needed to be taken. Satellite remote sensing technology provides a macroscopic, rapid and precise method for mangrove resources monitoring and plotting,and it is cheaper and less time-consuming than traditional artificial investigation methods.In this program, the Landsat TM image-CCT digital image magnetic tape has been used as an information source. First, with computer the image pre-proccessing is carried out,such as image geometric rectification, pseudo-color composition, linear scale image enhance ment and histogram linearization. Secondly, supervised classification is used to class the mangroves according to training samples,and the mangrove area is calculated by integrating the pixels. Finally, we made a 1: 50 000 pseudo-color composed imagery map of mangrove distribution. The mangrove area calculated by computer is 73. 89 hectares, comparing to the 75. 40 hectares by grid statistic method, the accuracy bying 98%. In all, this research work gives a convenient method and model for mangrove resources dynamic monitoring and remote sensing survey and mapping.
Keywords:Mangroves  remote sensing survey and mapping  harbour  Fujian
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