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应用遥感信息分析广西红树林动态变化特征
引用本文:陈凌云,胡自宁,钟仕全,梁文,石剑龙.应用遥感信息分析广西红树林动态变化特征[J].广西科学,2005,12(4):308-311.
作者姓名:陈凌云  胡自宁  钟仕全  梁文  石剑龙
作者单位:中国地质大学,湖北武汉,430074;广西遥感中心,广西南宁,530023;广西遥感中心,广西南宁,530023;广西红树林研究中心,广西北海,536000
基金项目:广西青年科学基金资助项目(编号:0135021).
摘    要:利用ENVI图像处理软件对广西沿海红树林的5个时相遥感数据和图像进行处理、分析并进行解译,通过对比分析,研究广西红树林在时空上的演变情况并分析其演变原因.结果得出,广西红树林在时空上的演化趋势是:1955年至1988年呈衰减的趋势,共减少4679.79hm^2,平均每年减少141.81hm^2;1988年至2004年呈递增趋势,共增加2395.05hm^2,平均每年增加149.69hm^2.变化的原因主要是人为因素影响,人们为了造地与围海养殖,砍伐红树林,使红树林面积迅速衰减;在无人为破坏的时候,红树林依靠自身的生长能力,能迅速生长,尤其是在海水富营养化的地段能恢复得很快.

关 键 词:红树林  动态变化  遥感信息
文章编号:1005-9164(2005)04-0308-04
收稿时间:2005-02-05
修稿时间:2005-04-07

Applying the Remote Sensing Information to Analyze Guangxi Mangrove Development Variety Characteristic
Chen Lingyun,Hu Zining,Zhong Shiquan,Liang Wen and Shi Jianlong.Applying the Remote Sensing Information to Analyze Guangxi Mangrove Development Variety Characteristic[J].Guangxi Sciences,2005,12(4):308-311.
Authors:Chen Lingyun  Hu Zining  Zhong Shiquan  Liang Wen and Shi Jianlong
Institution:1. China University of Geosciences, Wuhan, Hubei, 430074, China; 2. Guangxi Remote Sensing Center, Nanning, Guangxi, 530023, China ; 3. Guangxi Institute of Oceanology, Beihai, Guangxi, 536000,China
Abstract:Using ENVI software to process,analyze and interpret 5 phases of the remote sensing data and images of mangroves along Guangxi coast,through comparison,this paper researches the evolvement of Guangxi mangroves in time and space,and analyze the causes of evolvement.The result is as follows:attenuation from 1955 to 1988 totally decrease 4679.79 hm~2,annually average decrease 141.81 hm~2;but increased from 1988 to 2004,adding totally 2395.05 hm~2,annually average increase 149.69 hm~2.The causes of variation are affected mostly by artificial factors.People chop down the mangroves to build land,making the area of mangroves reduce quickly.At the time without destroying by human beings,the mangroves can grow fast on their own ability,especially recover quickly in the place with rich nourishment of sea water.
Keywords:mangrove  dynamic variation  remote sensing information
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