基于TM影像的森林三维绿量的遥感测算

谢丽琼; 张晓丽; 宋金秀

doi:10.3969/j.issn.1000-2006.2015.01.019

基于TM影像的森林三维绿量的遥感测算

谢丽琼,张晓丽,宋金秀

南京林业大学学报（自然科学版） ›› 2015, Vol. 39 ›› Issue (01) : 104-108.

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南京林业大学学报（自然科学版） ›› 2015, Vol. 39 ›› Issue (01) : 104-108. DOI: 10.3969/j.issn.1000-2006.2015.01.019

研究论文

基于TM影像的森林三维绿量的遥感测算

谢丽琼,张晓丽^*,宋金秀

作者信息 +

Estimation for tridimensional green biomass based on TM remote sensing image

XIE Liqiong,ZHANG Xiaoli^*,SONG Jinxiu

Author information +

文章历史 +

摘要

以北京市八达岭林场为研究区,TM影像为数据源,结合地面样地调查数据,利用多元线性回归分析法分树种建立了北京市八达岭林场三维绿量(TGB)的估测模型。对估测模型进行评价和精度验证,得到阔叶林、针叶林、混交林三维绿量模型的决定系数(R²)分别为0.858、0.756、0.759,测算精度为85.63%。基于模型估测八达岭林场的三维绿量,总量为1 498.635万m³; 与利用森林资源二类调查数据计算的地面实测三维绿量对比,测算精度为90.89%。

Abstract

Badaling Forest Farm of Beijing was taken as the research object, and the thematic mapper(TM)imagery was taken as a data source and ground plot survey data. Sub-species regression model of tridimensional green biomass(TGB)was established by using multivariate linear regression method,which based on forest vegetation classification of Badaling Forest Farm. Estimation model for the evaluation and accuracy validation, the coefficient of determination broadleaf forest, coniferous forest, mixed forest model of TGB were 0.858,0.756,0.759 and the overall accuracy of TGB in Badaling Forest Farm was 85.63%.Using model inversion TGB of Badaling Forest Farm, the total of TGB are 14 986 350 m³, and comparison of measured TGB by forest resource inventory data,the measurement accuracy is 90.89%.

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谢丽琼,张晓丽,宋金秀. 基于TM影像的森林三维绿量的遥感测算[J]. 南京林业大学学报（自然科学版）. 2015, 39(01): 104-108 https://doi.org/10.3969/j.issn.1000-2006.2015.01.019

XIE Liqiong,ZHANG Xiaoli,SONG Jinxiu. Estimation for tridimensional green biomass based on TM remote sensing image[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2015, 39(01): 104-108 https://doi.org/10.3969/j.issn.1000-2006.2015.01.019

中图分类号： S771.8

参考文献

[1] 周坚华.城市绿量测算模式及信息系统[J].地理学报,2001,56(1):14-23.Zhou J H. Theory and practice on database of three-dimensional vegetation quantity[J].Acta Geographica Sinica,2001,56(1):14-23.
[2] 周坚华,孙天纵.三维绿色生物量的遥感模式研究与绿化环境效益估算[J].环境遥感,1995,10(3):162-174.Zhou J H,Sun T Z. Study on remote sensing model of three-dimensional green biomass and estimation of environmental benefits of greenery[J]. Remote Sensing of Environment,1995,10(3):162-174.
[3] 周廷刚,罗红霞,郭达志.基于遥感影像的城市空间三维绿量(绿化三维量)定量研究[J].生态学报,2005,25(3):415-420.Zhou Y G,Luo H X,Guo D Z.Remote sensing image-based quantitative study on urban spatial 3D green quantity virescence three-dimenstion quantity[J]. Acta Ecologica Sinica,2005,25(3):415-420.
[4] 周一凡,周坚华.绿量快速测算模式[J].生态学报,2006,26(12):4204-4211.Zhou Y F,Zhou J H. Fast method to detect and calculate LVV[J]. Act Ecologica Sinica,2006,26(12):4204-4211.
[5] 刘常富,何兴元,陈玮,等.沈阳城市森林三维绿量测算[J].北京林业大学学报,2006,28(3):32-37.Liu C F,He X Y,Chen W,et al. Tridimensional green biomass measures of Shenyang urban forests[J]. Journal of Beijing Forestry University,2006,28(3):32-37.
[6] 赵军,刘琳,李霞.基于RS与GIS的半干旱区城市绿化三维量测算研究:以兰州市安宁区为例[J].地理与地理信息科学,2007,16(5):65-68.Zhao J,Liu L, Li X. Study on three-dimensional vegetation quantity measurement and calculation of urban greening in semi-arid region based on RS and GIS:Taking Anning district of Lanzhou as an example[J]. Engineering of Surveying and Mapping,2007,16(5):65-68.
[7] 季彪俊,孙小芳,孙依斌.遥感在城镇绿化植物三维绿色生物量和生态环境效应估算中的应用[J].福建农林大学学报:自然科学版,2005,34(1):102-107. Ji B J,Sun X F,Sun Y B. Application of remote sensing technology to calculating the three-dimensional green biomass of urban greening plants and the eco-environmental effect [J]. Journal of Fujian Agriculture and Forestry University:Natural Science Edition,2005,34(1):102-107.
[8] 周坚华.以绿化三维量分析植物群降解SO₂ 的宏观效应[J].中国环境科学,1999,19(2):161-164. Zhou J H. An analysis of the macro effect of vegetable’s deducing and decomposing sulphur dioxide through the 3-dimensional vegetable quantity[J].China Environmental Science,1999,19(2):161-164.
[9] 杨存建,刘纪远,张增祥.热带森林植被生物量遥感估算探讨[J].地理与地理信息科学,2004,20(6):23-25.Yang C J,Liu J Y,Zhang Z X.Study on the estimation of the tropical forest vegetation biomass by using remote sensing data,meteorological data and topographical data [J].Geography and Geo-Information Science,2004,20(6):23-25.
[10] 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):65-70.Wang N,Peng S K,Liu B,et al.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: Natural Sciences Edition,2013,37(5):65-70.
[11] 吴国训,阮宏华,李显风,等.基于MODIS反演的2000 2011年江西植被叶面积指数时空变化特征[J].南京林业大学学报:自然科学版,2013,37(1):11-18.Wu G X,Ruan H H,Li X F,et al.Spatial-temporal variations of leaf area index(LAI)in Jiangxi province during 2000—2011 based on MODIS data [J].Journal of Nanjing Forestry University: Natural Sciences Edition,2013,37(1):11-18.
[12] 江洪,王钦敏,汪小钦.福建省长汀县植被覆盖度遥感动态监测研究[J].自然资源学报,2006,21(1):26-34.Jiang H,Wang Q M,Wang X Q. Dynamic monitoring of vegetation fraction by remote sensing in Changting county of Fujian province[J].Journal of Natural Resources,2006,21(1):26-34.
[13] 童庆禧,郑兰芬,王晋年,等.湿地植被成象光谱遥感研究[J].遥感学报,1997,1(1):50-57.Tong Q X,Zhang L F,Wang J N,et al. Study on imaging spectrometer remote sensing information for wetland vegetation [J].Journal of Remote Sensing,1997,1(1):50-57.
[14] 张良培,郑兰芬,童庆禧,等.利用高光谱对生物变量进行估计[J].遥感学报,1997,1(2):111-114.Zhang L P,Zheng L F,Tong Q X, et al. The estimation of vegetation variables based on high resolution spectra[J].Journal of Remote Sensing,1997,1(2):111-114.
[15] 牛志春,倪绍祥.青海湖环湖地区草地植被生物量遥感监测模型[J].地理学报,2003,58(5):695-702.Niu Z C,Ni S X. Study on models for monitoring of grassland biomass around Qinghai Lake assisted by remote sensing[J]. Acta Geographic Sinica,2003,58(5):695-702.
[16] Jordan C F. Derivation of leaf area index from quality of light on the forest floor[J]. Ecology,1969,(50):663-666.
[17] Rouse J,Hass R H,Schell J A,et al. Monitoring the vernal advancements and retro gradation of natural vegetation [R]. NASA/GSFC. Final Report Greenbelt,MD USA:NASA/GSFC,1974:1-137.
[18] Huete A R.A soil adjusted vegetation index(SAVI)[J].Remote Sensing of Environment,1988(25):295-309.
[19] Qi J. A modified soil adjusted vegetation index [J].Remote Sensing Environ,1994(48):119-126.
[20] Liu H Q,Huete A R. A feedback based modification of the NDVI to minimize canopy background and atmospheric noise [J].IEEE Transaction on Geoscience and Remote Sensing,1995(33):457-465.
[21] 程武学,杨存建,周介铭,等.森林蓄积量遥感定量估测研究综述[J].安徽农业科学,2009,37(16):7746-7750.Cheng W X,Yang C J,Zhou J M,et al. Research summary of forest volume quantitative estimation based on remote sensing technology[J]. Journal of Anhui Agricultural Science,2009,37(16):7746-7750.

基金

收稿日期:2013-12-13 修回日期:2014-06-20
基金项目:省部共建森林培育与保护教育部重点实验室项目(2009GJSYS02); 教育部高等学校博士学科点专项科研基金项目(20100014110002)
第一作者:谢丽琼,硕士生。*通信作者:张晓丽,教授。E-mail:zhang-xl@263.net。
引文格式:谢丽琼,张晓丽,宋金秀. 基于TM影像的森林三维绿量的遥感测算[J]. 南京林业大学学报:自然科学版,2015,39(1):104-108.