Study on Mean Forest Canopy Height Estimation Based on ICESat-GLAS Waveforms

LIU Mei-shuang; XING Yan-qiu; WU Hong-bo; YOU Hao-tian

Volume 27 Issue 3

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Study on Mean Forest Canopy Height Estimation Based on ICESat-GLAS Waveforms

1.
College of Engineering and Technology, Northeast Forestry University, Harbin 150040, Heilongjiang, China
2.
Center for Forest Operations and Environment, Northeast Forestry University, Harbin 150040, Heilongjiang, China
3.
Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

Received Date: 2013-07-18

Abstract

Taking Wangqing Forestry Bureau of Jilin Province as the study area, a regression model for mean forest canopy height was established using ICESat-GLAS (the Ice, Cloud, and Land Elevation-Geoscience Laser Altimeter System) waveform metrics, with the predicted accuracy of 84.05%. By the method of inverse distance weighted (IDW), the interpolation calculation for ICESat-GLAS estimated mean forest canopy height was carried out and the preliminary CHM (Canopy Height Model) was achieved accordingly with continuous spatial distribution. The adjusted CHM was produced by corrected and smoothed preliminary CHM using slopes and differential filter (with 3×3 windows) respectively, and the predicted accuracy was up to 91.52%. The study results indicated that the method of slope correction and differential filter was able to reduce the influence of slope and remove the outliers effectively for CHM, and improve the predicted accuracy consequently.
- LiDAR, ICESat-GLAS,
- waveforms,
- mean canopy height,
- CHM,

References

[1]	李德仁,王长委,胡月明,等.遥感技术估算森林生物量的研究进展[J].武汉大学学报:信息科学版, 2012, 37 (6): 631-635
[2]	邢艳秋,王立海. 基于森林生物量相容性模型长白山天然林生物量估测[J]. 森林工程,2008,24(2):1-4
[3]	李立存,张淑芬,邢艳秋. 全站仪和测高仪在树高测定上的比较分析[J]. 森林工程,2011,27(4):38-41
[4]	Means J E, Acker S A, Harding D J, et al. Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon [J]. Remote Sensing of Environment, 1999, 67 (3): 298-308
[5]	Xing Y Q, de Gier A, Zhang J J, 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 (5): 385-392
[6]	Hyde P, Dubayah R, Walker W, et al. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy [J]. Remote Sensing of Environment, 2006, 102 (1/2): 63-73
[7]	Drake J B, Dubayah R O, Knox R G, et al. Sensitivity of large-footprint lidar to canopy structure and biomass in a neotropical rainforest [J]. Remote Sensing of Environment, 2002, 81 (2/3): 378-392
[8]	Sun G, Ranson K J, Kimes D S, et al. Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data [J]. Remote Sensing of Environment, 2008, 112 (1): 107-117
[9]	Nsset E, Gobakken T. Estimating forest growth using canopy metrics derived from airborne laser scanner data [J]. Remote Sensing of Environment, 2005, 96 (3/4): 453-465
[10]	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 Sensing of Environment, 1999, 70 (3): 339-361
[11]	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 (4): 532-548
[12]	Nelson R, Ranson K J, Sun G, et al. Estimating Siberian timber volume using MODIS and ICESat/GLAS [J]. Remote Sensing of Environment, 2009, 113 (3): 691-701
[13]	Dubayah R O, Drake J B. LiDAR remote sensing for forestry [J]. Journal of Forestry, 2000, 98 (6): 44-46
[14]	Harding D J, Carabajal C C. ICESat waveform measurements of within-footprint topographic relief and vegetation vertical structure [J]. Gophysical Research Lett牥楲敳測琠攲搰‰昵爬愠洳攲眠漨牌欲?晓漱爰?携椠猱琭爴椼扢畲琾敛搱‵桝礠撢牳濋氬澋柋楷挮?懺溎摉?杅敓潡浴漭片灌桁楓掌?淢潢撄敡氰槮溗枠?痘玦槍渔朔?琔爔槥愉溗板畽汱憗琺攺撋?楊牝爮攠杦畉氧慦牦?渺旡瑯矑潦版欬猲‰嬰?崬???漶洩瀺甶琹收爭猷‰?愼浢灲???收潝猠捌楥敦湳捫敹猠??休?????????????????????扥牭?孥??嵡??氯楥?吾???敥桶物慳扥楤愠湭??????湦潯癲攠汦?捲潥浳灴甠瑣慡瑮楯潰湹愠汨?灩慧牨慴搠楥杳浴?晭潡牴?捯牮攠慦瑲楯湭朠?慥?味牣楩慥湮杣略氠慌牡??牲爠敁杬畴汩慭牥?乥敲琠睓潹牳歴??吠?乡??晦牯潲浭??楊??删?摯慵瑲慮?孬?嵯??乁潰湰汬楩湥敤愠牒??湯慴汥礠獓楥獮??呮桧攬漠爲礰???攠琱栨漱搩猺????瀰瀱氳椭挰愱琳椵漳渷猼??资せ?????ㄠ??ㄠ?????????㈠?.利用大光斑激光雷达数据估测树高和生物量[J].林业科学, 2010, 46(9):84-87
[15]	Duncanson L I, Niemann K O, Wulder M A. Estimating forest canopy height and terrain relief from GLAS waveform metrics[J]. Remote Sensing of Environment, 2010, 114(1): 138-154
[16]	Allouis T, Durrieu S, Couteron P. A new method for incorporating hillslope effects to improve canopy-height estimates from large-footprint lidar waveforms[J]. Geoscience and Remote Sensing Letters, IEEE, 2012, 9(4): 730-734
[17]	Wulder M A, White J C, Nelson R F, et al. Lidar sampling for large-area forest characterization: A review [J]. Remote Sensing of Environment, 2012, 121: 196-209
[18]	Fatoyinbo T E, Simard M. Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM[J]. International Journal of Remote Sensing, 2013, 34(2): 668-681
[19]	吴红波. 基于星载大光斑LiDAR数据反演森林冠层高度及应用研究 [D].哈尔滨:东北林业大学,2011
[20]	Nakai T, Sumida A, Kodama Y, et al. A comparison between various definitions of forest stand height and aerodynamic canopy height[J]. Agricultural and Forest Meteorology, 2010, 150: 1225-1233
[21]	Mallet C, Bretar F. Full-waveform topographic lidar: State of the art [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2009, 64 (1): 1-16
[22]	Starck J L, Bijaoui A. Filtering and deconvolution by the wavelet transform [J]. Signal Processing, 1994, 35 (3): 195-211
[23]	Clevis Q, Tucker G E, Lancaster S T, et al. A simple algorithm for the mapping of TIN data onto a static grid: Applied to the stratigraphic simulation of river meander deposits [J]. Computers & Geosciences, 2006, 32 (6): 749-766
[24]	Tucker G E, Lancaster S T, Gasparini N M, et al. An object-o

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Study on Mean Forest Canopy Height Estimation Based on ICESat-GLAS Waveforms

1. College of Engineering and Technology, Northeast Forestry University, Harbin 150040, Heilongjiang, China

2. Center for Forest Operations and Environment, Northeast Forestry University, Harbin 150040, Heilongjiang, China

3. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

Received Date: 2013-07-18

Abstract: Taking Wangqing Forestry Bureau of Jilin Province as the study area, a regression model for mean forest canopy height was established using ICESat-GLAS (the Ice, Cloud, and Land Elevation-Geoscience Laser Altimeter System) waveform metrics, with the predicted accuracy of 84.05%. By the method of inverse distance weighted (IDW), the interpolation calculation for ICESat-GLAS estimated mean forest canopy height was carried out and the preliminary CHM (Canopy Height Model) was achieved accordingly with continuous spatial distribution. The adjusted CHM was produced by corrected and smoothed preliminary CHM using slopes and differential filter (with 3×3 windows) respectively, and the predicted accuracy was up to 91.52%. The study results indicated that the method of slope correction and differential filter was able to reduce the influence of slope and remove the outliers effectively for CHM, and improve the predicted accuracy consequently.

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Reference (24)

[1]	李德仁,王长委,胡月明,等.遥感技术估算森林生物量的研究进展[J].武汉大学学报:信息科学版, 2012, 37 (6): 631-635
[2]	邢艳秋,王立海. 基于森林生物量相容性模型长白山天然林生物量估测[J]. 森林工程,2008,24(2):1-4
[3]	李立存,张淑芬,邢艳秋. 全站仪和测高仪在树高测定上的比较分析[J]. 森林工程,2011,27(4):38-41
[4]	Means J E, Acker S A, Harding D J, et al. Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon [J]. Remote Sensing of Environment, 1999, 67 (3): 298-308
[5]	Xing Y Q, de Gier A, Zhang J J, 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 (5): 385-392
[6]	Hyde P, Dubayah R, Walker W, et al. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy [J]. Remote Sensing of Environment, 2006, 102 (1/2): 63-73
[7]	Drake J B, Dubayah R O, Knox R G, et al. Sensitivity of large-footprint lidar to canopy structure and biomass in a neotropical rainforest [J]. Remote Sensing of Environment, 2002, 81 (2/3): 378-392
[8]	Sun G, Ranson K J, Kimes D S, et al. Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data [J]. Remote Sensing of Environment, 2008, 112 (1): 107-117
[9]	Nsset E, Gobakken T. Estimating forest growth using canopy metrics derived from airborne laser scanner data [J]. Remote Sensing of Environment, 2005, 96 (3/4): 453-465
[10]	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 Sensing of Environment, 1999, 70 (3): 339-361
[11]	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 (4): 532-548
[12]	Nelson R, Ranson K J, Sun G, et al. Estimating Siberian timber volume using MODIS and ICESat/GLAS [J]. Remote Sensing of Environment, 2009, 113 (3): 691-701
[13]	Dubayah R O, Drake J B. LiDAR remote sensing for forestry [J]. Journal of Forestry, 2000, 98 (6): 44-46
[14]	Harding D J, Carabajal C C. ICESat waveform measurements of within-footprint topographic relief and vegetation vertical structure [J]. Gophysical Research Lett牥楲敳測琠攲搰‰昵爬愠洳攲眠漨牌欲?晓漱爰?携椠猱琭爴椼扢畲琾敛搱‵桝礠撢牳濋氬澋柋楷挮?懺溎摉?杅敓潡浴漭片灌桁楓掌?淢潢撄敡氰槮溗枠?痘玦槍渔朔?琔爔槥愉溗板畽汱憗琺攺撋?楊牝爮攠杦畉氧慦牦?渺旡瑯矑潦版欬猲‰嬰?崬???漶洩瀺甶琹收爭猷‰?愼浢灲???收潝猠捌楥敦湳捫敹猠??休?????????????????????扥牭?孥??嵡??氯楥?吾???敥桶物慳扥楤愠湭??????湦潯癲攠汦?捲潥浳灴甠瑣慡瑮楯潰湹愠汨?灩慧牨慴搠楥杳浴?晭潡牴?捯牮攠慦瑲楯湭朠?慥?味牣楩慥湮杣略氠慌牡??牲爠敁杬畴汩慭牥?乥敲琠睓潹牳歴??吠?乡??晦牯潲浭??楊??删?摯慵瑲慮?孬?嵯??乁潰湰汬楩湥敤愠牒??湯慴汥礠獓楥獮??呮桧攬漠爲礰???攠琱栨漱搩猺????瀰瀱氳椭挰愱琳椵漳渷猼??资せ?????ㄠ??ㄠ?????????㈠?.利用大光斑激光雷达数据估测树高和生物量[J].林业科学, 2010, 46(9):84-87
[15]	Duncanson L I, Niemann K O, Wulder M A. Estimating forest canopy height and terrain relief from GLAS waveform metrics[J]. Remote Sensing of Environment, 2010, 114(1): 138-154
[16]	Allouis T, Durrieu S, Couteron P. A new method for incorporating hillslope effects to improve canopy-height estimates from large-footprint lidar waveforms[J]. Geoscience and Remote Sensing Letters, IEEE, 2012, 9(4): 730-734
[17]	Wulder M A, White J C, Nelson R F, et al. Lidar sampling for large-area forest characterization: A review [J]. Remote Sensing of Environment, 2012, 121: 196-209
[18]	Fatoyinbo T E, Simard M. Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM[J]. International Journal of Remote Sensing, 2013, 34(2): 668-681
[19]	吴红波. 基于星载大光斑LiDAR数据反演森林冠层高度及应用研究 [D].哈尔滨:东北林业大学,2011
[20]	Nakai T, Sumida A, Kodama Y, et al. A comparison between various definitions of forest stand height and aerodynamic canopy height[J]. Agricultural and Forest Meteorology, 2010, 150: 1225-1233
[21]	Mallet C, Bretar F. Full-waveform topographic lidar: State of the art [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2009, 64 (1): 1-16
[22]	Starck J L, Bijaoui A. Filtering and deconvolution by the wavelet transform [J]. Signal Processing, 1994, 35 (3): 195-211
[23]	Clevis Q, Tucker G E, Lancaster S T, et al. A simple algorithm for the mapping of TIN data onto a static grid: Applied to the stratigraphic simulation of river meander deposits [J]. Computers & Geosciences, 2006, 32 (6): 749-766
[24]	Tucker G E, Lancaster S T, Gasparini N M, et al. An object-o

Study on Mean Forest Canopy Height Estimation Based on ICESat-GLAS Waveforms

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通讯作者: 陈斌, bchen63@163.com

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Study on Mean Forest Canopy Height Estimation Based on ICESat-GLAS Waveforms

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