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沿海防护林防风固沙效益动态监测技术研究
引用本文:陈国荣,刘健,余坤勇,许章华.沿海防护林防风固沙效益动态监测技术研究[J].福建林学院学报,2010,30(3).
作者姓名:陈国荣  刘健  余坤勇  许章华
作者单位:1. 福建农林大学林学院,福建,福州,350002
2. 福建农林大学林学院,福建,福州,350002;三明学院,福建,三明,365004
基金项目:国家自然科学基金资助项目,国家支撑计划资助项目,福建省自然科学基金资助项目 
摘    要:以《福建省沙化监测实施方案》沙化等级划分和沙化监测结果为依据,通过分析、提炼影响沿海防护林防风固沙的主要因素,建立沿海防护林防风固沙效益模型。选择福建省漳浦县作为研究区域,以研究区2个年度的TM/ETM遥感影像序列及防风固沙效益模型为基础开展了漳浦县沿海防护林防风固沙效益动态监测研究。研究表明,监测模型与沙化监测结果间的相关系数为0.909,模型监测精度为77.82%。研究区非沙化、轻度及中度以上级别土地的面积在1988年分别为25440.01、24386.12、8644.24hm2,而在2003年分别为46950.26、10779.54、740.57hm2。

关 键 词:沿海防护林  防风固沙  遥感  监测

Study on the dynamic monitoring techniques of sand-fixation benefits of coastal protective forests
CHEN Guo-rong,LIU Jian,YU Kun-yong,XU Zhang-hua.Study on the dynamic monitoring techniques of sand-fixation benefits of coastal protective forests[J].Journal of Fujian College of Forestry,2010,30(3).
Authors:CHEN Guo-rong  LIU Jian  YU Kun-yong  XU Zhang-hua
Abstract:According to the desertification monitoring results and division from Desertification Monitoring Implementation Program in Fujian Province, the paper analyzed and chose the factors of sand fixation of the coastal protective forests and set up the sand-fixation benefits model of the coastal protective forests. This paper took Zhangpu Country in Fujian Province as study area, and based on the model of sand-fixation and the time series of 2 years of remote sensing image to study the sand-fixation dynamic monitoring of coastal protective forests. The results showed that the sand-fixation benefits monitoring model′s estimation accuracy is 77.82% and the model regression correlation coefficient is 0.909 based on the desertification monitoring results from Desertification Monitoring Implementation Program in Fujian Province. The area of 3 levels such as non-decertification, mild, and moderate of desertification was 25 440.01, 24 386.12 and 8 644.24 hm2 respectively in 1988, and the area of 3 levels of desertification was 46 950.26, 10 779.54 and 740.57 hm2 respectively in 2003.
Keywords:coastal protective forests  sand fixation  remote sensing  monitoring
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