近10年江苏宿迁森林蓄积量变化的定量遥感监测

王妮,彭世揆,刘斌,郑刚

南京林业大学学报(自然科学版) ›› 2013, Vol. 37 ›› Issue (05) : 65-69.

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南京林业大学学报(自然科学版) ›› 2013, Vol. 37 ›› Issue (05) : 65-69. DOI: 10.3969/j.issn.1000-2006.2013.05.013
研究论文

近10年江苏宿迁森林蓄积量变化的定量遥感监测

  • 王妮1,彭世揆2,刘斌3,郑刚3
作者信息 +

A study on detecting the changes of the forest volume of Suqian in Jiangsu based on the quantitative remote sensing during 2000—2010

  • WANG Ni1, PENG Shikui2, LIU Bin3, ZHENG Gang3
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文章历史 +

摘要

利用多元线性回归分析法建立了江苏宿迁市2000年、2005年、2010年森林蓄积量和郁闭度估测模型,采用基于遥感 数据的森林信息提取方法,结合主成分分析法与逐步回归法判断最优模型,对估测森林蓄积量后的验证发现,最优模型精度 能达到96%以上,基本满足估测要求。而根据宿迁市3期郁闭度和森林蓄积量结果分级统计表明,宿迁森林蓄积量在近10 a 内逐年稳步上升。

Abstract

By using multivariate linear regression method, estimation model of forest volume and crown closure in the three years, 2000, 2005 and 2010 over the entire Suqian city were established in this paper. The method of mining forest information was used to determine the optimal combination estimation model with implementing the principal component analysis and the stepwise regression method based on Landsat TM. According to the statistic of validating estimate model, the result of the estimation was relatively accurate and could satisfy the requirement basically, which was more than 96%. Grading the crown closure and forest volume showed that there was a progressive improvement in Suqian′s forest resources of three periods. A continuous increase of forest volume, implied a good sign of ecological functioning in Suqian.

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导出引用
王妮,彭世揆,刘斌,郑刚. 近10年江苏宿迁森林蓄积量变化的定量遥感监测[J]. 南京林业大学学报(自然科学版). 2013, 37(05): 65-69 https://doi.org/10.3969/j.issn.1000-2006.2013.05.013
WANG Ni, PENG Shikui, LIU Bin, ZHENG Gang. A study on detecting the changes of the forest volume of Suqian in Jiangsu based on the quantitative remote sensing during 2000—2010[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2013, 37(05): 65-69 https://doi.org/10.3969/j.issn.1000-2006.2013.05.013
中图分类号: S7572   

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基金

收稿日期:2012-03-13修回日期:2013-06-18 基金项目:滁州学院科研启动基金项目(2012qd17) 第一作者:王妮,讲师,博士。 Email: wnstrive@163.com。 引文格式:王妮,彭世揆,刘斌,等. 近10年江苏宿迁森林蓄积量变化的定量遥感监测[J]. 南京林业大学学报:自然科学版, 2013,37(5):65-69.

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