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1991—2011年廉江红树林分布及变化的遥感分析
引用本文:刘大召,韩泽文,沈春燕.1991—2011年廉江红树林分布及变化的遥感分析[J].海洋科学,2019,43(4):22-28.
作者姓名:刘大召  韩泽文  沈春燕
作者单位:广东海洋大学,广东 湛江,524088;广东海洋大学,广东 湛江,524088;广东海洋大学,广东 湛江,524088
基金项目:国家自然科学基金项目(41340049);广东省科技计划项目(2016A020222016);广东海洋大学创新强校项目(Q16147);广东海洋大学项目(C14152,C15403,C17077)
摘    要:利用1991年的1景TM遥感数据,2000年的ETM+遥感数据和2011年HJ-1A遥感数据进行廉江红树林信息的提取。结果表明:1991,2000和2011年廉江的红树林分布面积分别为131.6,628.7和1 056.2 ha。自1991年至2011年红树林呈增加的趋势,共增加924.6 ha,20年间研究区域的红树林约增加了7倍。湛江红树林国家自然保护区的建立对于红树林湿地生态系统的保护和恢复起到极大的促进作用,研究区域红树林造林恢复成果显著,种植了大量的人工红树林。

关 键 词:红树林  植被覆盖指数  非监督分类
收稿时间:2018/6/25 0:00:00
修稿时间:2018/12/28 0:00:00

Remote sensing analysis of the distribution and change of mangrove forest in Lianjiang from 1991 to 2001
LIU Da-zhao,HAN Ze-wen and SHEN Chun-yan.Remote sensing analysis of the distribution and change of mangrove forest in Lianjiang from 1991 to 2001[J].Marine Sciences,2019,43(4):22-28.
Authors:LIU Da-zhao  HAN Ze-wen and SHEN Chun-yan
Institution:Guang dong Ocean University, Zhanjiang 524088, China,Guang dong Ocean University, Zhanjiang 524088, China and Guang dong Ocean University, Zhanjiang 524088, China
Abstract:Mangrove forests provide valuable societal and ecological goods and services. However, they have been experiencing high annual rates of loss in numerous parts of the world. There are one TM in 1991, one TEM+ in 2000 and one HJ-1A in 2011 remote sensing data were used to analyze the mangrove distribution and change in the study area. The results showed that the mangrove areas in Lianjiang in 1991, 2000, and 2011 were 131.6 ha, 628.7 ha, and 1 056.2 ha, respectively, which indicate that between 1991 and 2011, the mangrove area presented a continuous increasing trend, with an increase of about 924.6 ha, and the mangrove forests in the study area have increased about seven times since the past 20 years. The establishment of Zhanjiang Mangrove Forest National Nature Reserve has promoted the protection and restoration of mangroves in the study area, and many mangroves have been artificially planted.
Keywords:mangrove  normalized difference vegetation index  unsupervised classification
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