基于GLAS数据的森林生物量估算研究进展

林业资源管理 ›› 2013, Vol. 0 ›› Issue (1): 86-90.

基于GLAS数据的森林生物量估算研究进展

段祝庚^1,2, 肖化顺¹

1.中南林业科技大学理学院,长沙 410004;
2.中南大学地球科学与信息物理学院,长沙 410083

收稿日期:2012-12-12 修回日期:2012-12-30 出版日期:2013-02-28 发布日期:2020-11-17
作者简介:段祝庚(1969-),男,湖南邵阳人,副教授,硕士,主要从事LiDAR林业信息工程研究工作。Email:dzg47336628@163.com
基金资助:
中南林业科技大学校青年科研基金项目(07021B)

Review of the Methods for Forest Biomass Estimation with GLAS Data

DUAN Zhugeng^1,2, XIAO Huashun¹

1. School of Sciences,Central South University of Forestry and Technology,Changsha 410004,China;
2. School of GeoSciences and Info-Physics,Central South University,Changsha 410083,China

Received:2012-12-12 Revised:2012-12-30 Online:2013-02-28 Published:2020-11-17

摘要/Abstract

摘要： 森林生物量是森林生态系统监测的一个重要指标。GLAS波形信息与森林冠层高度、生物量有较强的相关性,在森林冠层高度、生物量等参数估算中具有广阔的应用前景。本文简要介绍了GLAS激光雷达系统及其特点,重点总结归纳了应用GLAS进行森林冠层高度、生物量估算原理及方法,并对森林冠层高度、生物量估算模型作了介绍。

关键词: GLAS, 激光雷达, 森林生物量, 估算方法

Abstract: Forest biomass is an important indicator for monitoring forest ecosystems.GLAS waveform information has a strong correlation with the forest canopy height and biomass and has broad application prospects for estimating the forest canopy height,biomass and other parameters.This paper introduces the GLAS laser radar system and its characteristics,and summarizes forest canopy height GLAS,principles and methods of estimating biomass,and the model of estimating forest canopy height and biomass is also introduced.

Key words: GLAS, laser radar, forest biomass, estimation method

中图分类号:

段祝庚, 肖化顺. 基于GLAS数据的森林生物量估算研究进展[J]. 林业资源管理, 2013, 0(1): 86-90.

DUAN Zhugeng, XIAO Huashun. Review of the Methods for Forest Biomass Estimation with GLAS Data[J]. FOREST RESOURCES WANAGEMENT, 2013, 0(1): 86-90.

参考文献

[1]Lieth H,Whittaker R H.Primary Productivity of the Biosphere[M].New York:Springer-Verlag,1975.
[2]James B,Abshire,Sun Xiaoli,et al.Geoscience Laser Altimeter System(GLAS)on the ICESat Mission:On-orbit measurement performance[J].Geophysical Research Leftters,2005(34):1-4.
[3]庞勇,李增元,陈尔学,等.激光雷达技术及其在林业上的应用[J].林业科学,2005,41(3):129-136.
[4]Lefsky M A,Cohen W B,Acker S A,et al.Lidar remote sensing of the canopy structure and biophysical properties of Douglas-Fir Western Hemlock Forests[J].Remote Sens.Environ.,1999,70:339-361.
[5]Drake J B,Dubayah R O,Clark D B,et al.Estimation of tropical forest structural characteristics using large-footprint lidar[J].Remote Sens.Environ.,2002,79:305-319.
[6]文汉江,程鹏飞.ICESAT/GLAS激光测高原理及其应用[J].测绘科学,2005,30(50):33-35.
[7]Lefsky,M A,Cohen,WB,Parker,G G,et al.Lidar remote sensing for ecosystem studies[J].BioScience,2002,52(1):19-30.
[8]Lefsky M A,Harding D J,Keller M,et al.Estimates of forest canopy height and aboveground biomass using ICESat[J].Geophysical Research Letters,2005,32.
[9]The National Snow and Ice Data Center[EB/OL].[2012-12-01].http://nsidc.org/data/.
[10]Harding D J,Carabajal C C.ICESat waveform measurements of within footprint topographic relief and vegetation vertical structure[J].Geophysical Research Letters,2005,32.
[11]庞勇,于信芳,李增元,等.星载激光雷达波形长度提取与林业应用潜力分析[J].林业科学,2006(42):137-140.
[12]邢艳秋,王立海.基于ICESat-GLAS完整波形的坡地森林冠层高度反演研究—以吉林长白山林区为例[J].武汉大学学报,2009,34(6):696-700.
[13]Brenner A C,Zwally H J,Bentley C R,et al.Derivation of range and range distributions from laser pulse waveform analysis for surface elevations,roughness,slope,and vegetation heights[M].In:Algorithm Theoretical Basis Document(Version 4.1),2003.
[14]Yanqiu Xing,Alfred de Gierb,Junjie Zhang,et al.An improved method for estimating forest canopy height using ICESat-GLAS full waveform data over sloping terrain:A case study in Changbai mountains,China[J].International Journal of Applied Earth Observation and Geoinformation,2010,12:385-392.
[15]Lefsky M A,Keller M,Yong Pang,et al.Revised method for forest canopy height estimation from Geoscience Laser Altimeter System waveforms[J].Journal of Applied Remote Sensing,2007(1):1-18.
[16]庞勇,李增元,Sun Guoqing,等.地形对大光斑激光雷达森林回波影响研究[J].林业科学研究,2007,20(4):464-468.
[17]Lefsky M A,Cohen W B,Harding D J,et al.Lidar remote sensing of above-ground biomass in three biomass[J].Global Ecology and Biogeography,2002(11):393-399.
[18]Lefsky M A,Hudak A T,Cohen W B,et al.Geographic variability in lidar predictions of forest stand structure in the Pacific Northwest[J].Remote Sensing of Environment,2005(95):532-548.
[19]王金亮,程峰,陈联君,等 .ICESat-GLAS数据估算复杂地形区域森林蓄积量潜力初探[C]//第一届全国激光雷达对地观测高级学术研讨会.北京:2010.
[20]庞勇,孙国清,李增元.林木空间格局对大光斑激光雷达波形的影响模拟[J].遥感学报,2006(1):97-103.
[21]Li Ainong,Huang C Q,Sun G Q,et al.Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data [J].Remote sensing of Environment,2011,115:1837-1849.
[22]王成,程峰.基于ICESat GLAS和MODIS数据的植被平均高度反演——以东北三省为例[C]//第一届全国激光雷达对地观测高级学术研讨会.北京:2010.
[23]董立新,李贵才.基于GLAS与MERSI的森林冠层高度联合反演研究[C]//第一届全国激光雷达对地观测高级学术研讨会.北京:2010.
[24]GUO ZhiFeng,CHI Hong,SUN GuoQing.Estimating forest aboveground biomass using HJ-1 Satellite CCD and ICESat GLAS waveform data[J].Earth Sciences,2010,53(12):16-25.
[25]SUN Guoqing,Ranson K J,ZHANG Zhongjun.Forest Vertical Parameters from Lidar and Multi-angle Imaging Spectrometer Data[J].Journal of Remote Sensing,2006,10(4).
[26]李然,王成,苏国中,等.星载激光雷达的发展与应用[J].科学技术综述,2007,25(14):58-63.
[27]The National Snow and Ice Data Center[EB/OL].(2009-12-18)[2012-12-01].http://science.nasa.gov/missions/icesat-ii/.
[28]NASA[EB/OL].[2012-12-01].http://science.nasa.gov/missions/desdyni/.