Please wait a minute...
img

官方微信

遥感技术与应用  2010, Vol. 25 Issue (4): 520-524    DOI: 10.11873/j.issn.1004-0323.2010.4.520
研究与应用     
山东省黄河流域森林蓄积量遥感定量估测模型研究

董 斌1 ,冯仲科2,杜林芳2,唐雪海2
1.安徽农业大学理学院,安徽 合肥 230036; 2.北京林业大学测绘与3S技术研究中心,北京 100083
Study on Quantitative Estimation Modeling of Forest Volume Based on Remote Sensing in the Yellow River Basin of Shandong Province
DONG Bin1,FENG Zhong-ke2,DU Lin-fang2,TANG Xue-hai2
1.School of Science,Anhui Agricultural University,Hefei 230036,China;
2.Institute of GIS,RS & GPS,Beijing Forestry University,Beijing 100083,China
 全文: PDF(842 KB)  
摘要:

采用2006年的TM遥感影像作为研究区的基本数据源,利用GPS、全站仪等仪器,采用典型随机抽样方法采集了378个抽样点的外业数据;借助MATLAB、SPSS、SAS、ERDAS等工具,运用主成分分析法、多元线性逐步回归法,结合RS、GPS和GIS技术,借助数学和物理理论,建立以像元为单位的山东省黄河流域森林蓄积量定量估测模型,为实现流域森林生态系统的平衡,最大限度地发挥森林的生态、经济和社会效益提供科学依据。

关键词: 山东省黄河流域森林蓄积量定量估测模型3S技术    
Abstract:

TM images in 2006 were selected as the basic data sources,378 sample points were collected with the method of typical and random sampling by GPS and the total station.With the help of the statistical analysis software like MATLAB,SPSS,SAS,as well as the tools for modeling and spatial analysis like ERDAS,with the technology of remote sensing,globe positioning system and geographical information system,using mathematical and physical theories to establish the prediction model of forest volume with pixel as the basic unit,quantitative estimation modeling of forest volume were based on the methods included principal component analysis and multi\|element linear regression.The purpose of the model is to make the forest ecological system of the basin in balance and provide the scientific basis for exerting the best function of the ecological,economy and social benefits.

Key words: Yellow River basin of Shandong Province    Forest volume    Qquantitative estimation modeling    3S technology
出版日期: 2010-10-21
基金资助:

农业部农业信息技术重点实验室开放课题(KF2010W40-046)资助;安徽农业大学研究项目(09jy032)。

作者简介: 董斌(1970-),男,博士,副教授,硕士生导师。主要从事3S技术在资源与环境中的应用。Email:dbhy123@sina.com。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
??斌
冯仲科
杜林芳
唐雪海

引用本文:

董 斌, 冯仲科, 杜林芳, 唐雪海. 山东省黄河流域森林蓄积量遥感定量估测模型研究[J]. 遥感技术与应用, 2010, 25(4): 520-524.

DONG Bin, FENG Zhong-ke, DU Lin-fang, TANG Xue-hai. Study on Quantitative Estimation Modeling of Forest Volume Based on Remote Sensing in the Yellow River Basin of Shandong Province. Remote Sensing Technology and Application, 2010, 25(4): 520-524.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.4.520        http://www.rsta.ac.cn/CN/Y2010/V25/I4/520

[1]Li Chonggui,Shi Qiang,Zhao Xianwen,et al.On Forest Canopy Density Estimation Research Based on RS and GIS with Rid GE Estimation[J].Scientia Silvae Sinicae,2001,5:24-30.[李崇贵,石强,赵宪文,等.用岭估计研究以RS和GIS为基础的森林郁闭度估测[J].林业科学,2001,5:24-30.]
[2]Hou Changmou,Yang Yanqiong,Huang Ping,et al.Study on Interpreting Model of Pinus Massoniana Stand Volume Based on RS and GIS Technologies[J].Forest Resources Management,2002,5:55-58.[侯长谋,杨燕琼,黄平,等.基于RS、GIS的马尾松林分蓄积量判读模型研究[J].林业资源管理,2002,5:55-58.]
[3]Yu Kunyong,Lin Fang,Liu Jian,et al.Study on Estimating Model of Pinus Massoniana Stand Volume in Minjiang Watershed Based on RS Technologies[J].Journal of Fujian Forestry Scientific and Technology,2006,33(1):6-20.[余坤勇,林芳,刘健,等.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):6-20.]
[4]Feng Zhongke,Han Xichun,Zhou Keliang,et al.The Analysis of Forestry Measurement Principle and Precision in Fixed Samples by Total Station[J].Beijing Surveying,2003,1:28-30.[冯仲科,韩熙春,周科亮,等.全站仪固定样地测树原理及精度分析[J].北京测绘,2003,1:28-30.]
[5]Feng Zhongke,Jing Haitao,Zhou Keliang,et al.Principle and Precision Evaluation of Stem Volume Surveying by Total Station[J].Journal of Beijing Forestry University,2003,25(3):60-63.[冯仲科,景海涛,周科亮,等.全站仪测算材积的原理及精度分析[J].北京林业大学学报,2003,25(3):60-63.]
[6]Feng Zhongke,Wang Xiaokun.Basic Theory and Practice of Surveying Forest Volume and Increment with Electronic Angle Gauge[J].Journal of Beijing Forestry University,2007,29(Supp.2):40-44.[冯仲科,王小昆.全站仪测定森林蓄积量及生长量的基础理论与实践[J].北京林业大学学报,2007,29(增刊2):40-44.]
[7]Dong Bin.Study on Automatic Surveying and Calculating System of Forestry Data Based on Total Station[J].Journal of Nanjing Forestry University,2005,5:119-122.[董斌.基于全站仪的林业数据自动测算系统[J].南京林业大学学报,2005,5:119-122.]
[8]Dong Bin,Guo Jiachun,Tian Jinsong.Study of the Monitoring and Evaluation Based on the Broad 3S Technology in Urban Forest Investigation[J].Journal of Anhui Agricultral University,2008,35(1):128-131.[董斌,过家春,田劲松.基于广义3S技术的城市森林资源监测与评价研究[J].安徽农业大学学报,2008,35(1):128-131.]

 

[1] 梁志锋,凌飞龙,汪小钦. L波段SAR与中国东北森林蓄积量的相关性分析[J]. 遥感技术与应用, 2013, 28(5): 871-878.
[2] 王金亮,程峰,王成,陈联君,王小花. 基于ICESat-GLAS数据估算复杂地形区域森林蓄积量潜力初探—以云南香格里拉县为例[J]. 遥感技术与应用, 2012, 27(1): 45-50.
[3] 郑 刚, 彭世揆, 戎 慧, 李 杨, 王 妮. 基于KNN方法的森林蓄积量遥感估计和反演概述[J]. 遥感技术与应用, 2010, 25(3): 430-437.
[4] 张婧,许晓光,张建新. 3S技术在土地利用数据库建设和管理中的应用[J]. 遥感技术与应用, 2008, 23(4): 419-423.
[5] 单丽燕,贠旭疆,董永平,李新一,唐川江. 退牧还草工程项目遥感分析与效益评价——以四川省阿坝县为例[J]. 遥感技术与应用, 2008, 23(2): 173-178.
[6] 唐川江, 周俗, 张新跃, 张绪校. 基于多源空间数据的四川省草原监测地理信息系统技术设计[J]. 遥感技术与应用, 2007, 22(5): 661-667.
[7] 盖迎春,王亚军,冯敏,王峰. Internet下的数字化农业专家系统研究[J]. 遥感技术与应用, 2004, 19(5): 386-392.
[8] 裴 浩,李云鹏,乌日娜,邓晓东,李兴华. 应用卫星遥感技术监测生态建设工程[J]. 遥感技术与应用, 2003, 18(4): 221-225.
[9] 高瑞莲,吴健平. 3S技术在生物多样性研究中的应用[J]. 遥感技术与应用, 2000, 15(3): 205-209.
[10] 王晓栋. 运用3S技术建立包头市郊区县土地利用动态监测数据库[J]. 遥感技术与应用, 1999, 14(2): 21-26.
[11] 杨存建. 卫星遥感技术在林业中的应用[J]. 遥感技术与应用, 1994, 9(2): 54-56.