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| 基于RS的闽江流域马尾松林分蓄积量估测模型研究 | |
| 引用本文： | 余坤勇,林芳,刘健,亓兴兰,张世利. 基于RS的闽江流域马尾松林分蓄积量估测模型研究[J]. 福建林业科技, 2006, 33(1): 16-19,23 |
| 作者姓名： | 余坤勇 林芳 刘健 亓兴兰 张世利 |
| 作者单位： | 1. 福建农林大学林学院,福建,福州,350002 2. 福建林业职业技术学院,福建,南平,353000 3. 福建农林大学林学院,福建,福州,350002;北京林业大学资源与环境学院,北京,100038 |
| 基金项目： | 福建省科技攻关计划重点项目(2005N006)，福建省教育厅科学基金资助项目(JA04185) |
| 摘 要： | 从福建省第5次森林资源一类调查落在闽江流域的样地中抽取马尾松林样地130个,以RS可提取因子及样地林分立地条件因子为可选变量,利用3倍标准差法进行异常数据的筛选,对林分立地条件定性因子进行数量化处理,通过逐步回归构建闽江流域马尾松林分蓄积量估测模型,研究结果所构建的蓄积量估测模型的相关系数为0.735。经模外抽取30个样地对估测模型适用性检验和精度验证表明,在可靠性α=0.01条件下模型估测值与外业实测值无显著差异,模型的林分蓄积量估测精度达85.03%,为此,本研究的蓄积量估测模型对森林经营管理具有现实意义。 |
| 关 键 词： | RS 林分蓄积量估测 逐步线性回归 闽江流域 马尾松 |
| 文章编号： | 1002-7351（2006）01-0016-04 |
| 收稿时间： | 2005-07-21 |
| 修稿时间： | 2005-07-212005-09-19 |
Study on Estimating Model of Pinus Massoniana Stand Volume in Minjiang Watershed Based on RS Technologies |
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| YU Kun-yong,LIN Fang,LIU Jian,QI Xing-lan,ZHANG Shi-li. Study on Estimating Model of Pinus Massoniana Stand Volume in Minjiang Watershed Based on RS Technologies[J]. Journal of Fujian Forestry Science and Technology, 2006, 33(1): 16-19,23 | |
| Authors: | YU Kun-yong LIN Fang LIU Jian QI Xing-lan ZHANG Shi-li |
| Affiliation: | 1. Forest College, Fujian Agriculture and Forestry University, Fuzhou 350002, China ; 2. Fujian Forestry Professional Technology Institute, Nanping 353000, China ; 3. Resource and Environment College, Beijing Forestry University, Beijing 100038, China |
| Abstract: | This research established an estimating model of Pinus massoniana stand volume with the elements as variates directly obtained from RS and the conditions of stand that were extracted from 130 samples Of Pinus massoniana stand from the fifth forest resource continuous investigation data in min-jiang watershed and flitered by the thrice standard deviation method and liner regression method and the correlation coefficient is 0. 735. The suitability and precision of the model were tested and regression analysised with data that were extracted from another 30 samples. The results show that there are no significant deviation between data actually measured and estimated by regression model in the case of a = 0.01 and the presion of the model is 85.03 % which showed that the model established in the research is useful for forestry production. |
| Keywords: | remote sensing stand volume liner regression Minjiang Valley Pinus massoniana |
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