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OALib Journal期刊
ISSN: 2333-9721
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福建武夷山自然保护区森林碳储量遥感估测方法与空间分析
DOI: 10.3969/j.issn.1000-2006.2014.06.002, PP. 6-10
Keywords: 森林碳储量,遥感估测,空间分析,武夷山自然保护区
Abstract:
以福建省武夷山国家级自然保护区为研究对象,以2003年24块固定样地数据、同年landsattm遥感数据为主要信息源,分别采用多元线性回归、k最邻近分类算法、人工神经网络、土地覆盖分类4种方法,对研究区域2003年的碳储量进行遥感估测。在此基础上,对森林碳密度进行地理加权回归及空间格局分析。研究表明:在4个模型中,人工神经网络的相关系数最高,标准误差、平均相对误差最低,预测精度最高;研究区不同功能分区碳密度差别不大,森林平均碳密度为52.40t/hm2,碳储量为278.5423万t;森林碳密度与所处位置的海拔、坡向负相关,与坡度、林地土壤水文状况、植物生长状况正相关;随着海拔的降低和人为干扰活动的增强,核心区、缓冲区、实验区森林碳密度的空间聚集性减弱,破碎化趋势增强。
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