[1]孟 雪,刘雪惠,高媛赟,等.基于区域转换因子的不同立地质量阔叶林碳储量估测[J].南京林业大学学报(自然科学版),2017,41(06):087-92.[doi:10.3969/j.issn.1000-2006.201606027]
 MENG Xue,LIU Xuehui,GAO Yuanyun,et al.Remote sensing estimation of different site-quality broadleaved forest carbon budget in Jiande,Zhejiang[J].Journal of Nanjing Forestry University(Natural Science Edition),2017,41(06):087-92.[doi:10.3969/j.issn.1000-2006.201606027]
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基于区域转换因子的不同立地质量阔叶林碳储量估测
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
41
期数:
2017年06期
页码:
087-92
栏目:
研究论文
出版日期:
2017-11-30

文章信息/Info

Title:
Remote sensing estimation of different site-quality broadleaved forest carbon budget in Jiande,Zhejiang
文章编号:
1000-2006(2017)06-0087-06
作者:
孟 雪1刘雪惠1高媛赟1刘 俊1温小荣1*林国忠1徐 达2
1.南方现代林业协同创新中心,南京林业大学林学院,江苏 南京 210037; 2.浙江省森林资源监测中心,浙江 杭州 310020
Author(s):
MENG Xue1LIU Xuehui1 GAO Yuanyun1LIU Jun1WEN Xiaorong1*LIN Guozhong1 XU Da2
1. Co-Innovation for the Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China; 2.Center for Forest Resource Monitoring of Zhejiang Province, Hangzhou 310020, China
关键词:
转换因子 立地质量 阔叶林 碳储量 遥感估侧 浙江建德
Keywords:
Keywords:expansion factor site-quality broadleaved forest carbon budget remote sensing estimation Jiande City Zhejiang Province
分类号:
S757
DOI:
10.3969/j.issn.1000-2006.201606027
文献标志码:
A
摘要:
【目的】研究不同立地质量类型对阔叶林碳储量遥感估测精度的影响。【方法】以2007年浙江建德市森林资源二类调查数据和TM影像为研究材料,根据区域的蓄积量-生物量转换因子连续函数法,并依据浙江省的生物量-碳储量含碳系数转换法计算阔叶林碳储量和地位级法评价立地质量等级,比较阔叶林地位质量等级中等以上、地位等级中等以下和不分地位等级3种碳储量遥感估测模型,并进行精度检验。【结果】以第1主成分为特征变量构建森林碳储量估测模型,相关系数R均在0.49以上,拟合效果较好; 将森林碳储量回归模型预测值与实测值进行对比分析,不分地位级总体估测精度为65.89%,地位等级中等以上、地位等级中等以下类型总体估测精度分别为82.53%、83.09%。【结论】分不同立地质量类型可以提高阔叶林碳储量遥感估测精度。
Abstract:
【Objective】In this study, the influence of different site-quality types on the remote-sensing estimation of the carbon budget of broadleaved forests was analyzed. 【Mothed】Using forest resource inventory data on the management and TM images of Jiande City, Zhejiang Province, China in 2007, the carbon budget in broadleaved forests was calculated by the regional volume-biomass conversion factor continuous function method and biomass-carbon budget coefficient conversion method based on Zhejiang Province; site quality was evaluated by site class method, and then, three models for the estimation of the carbon budget of broad-leaved forests were compared and divided into “above-average”, “below-average site quality” and “no rank” groups, and the accuracy test was conducted. 【Result】The model for estimation of forest carbon storage was constructed with the first principal component as the characteristic variable; the correlation coefficient R was larger than 0.49, and performance was good. The forest carbon-storage regression model was compared using the measured values; whole model accuracy without site class was 65.89%, and accuracy of the above-average, below-average site-quality models were 82.53% and 83.09%, respectively. 【Conclusion】Discrimination between different site qualities can improve the precision of remote-sensing estimation of the carbon budget of broadleaved forests, and the results of this study provided adequate technical support for the remote-sensing estimation of forest carbon budgets.

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备注/Memo

备注/Memo:
基金项目:国家重点研发计划(2016YFC0502704); 江苏省林业三新工程项目(Lysx[2015]19); 南京林业大学科技创新基金项目(CX2011-24); 江苏高校优势学科建设工程资助项目(PAPD) 第一作者:孟雪(mengxue1008@yeah.net)。*通信作者:温小荣(njw9872@163.com),副教授。
更新日期/Last Update: 1900-01-01