基于TM遥感影像的湿地松林生物量研究

doi:10.11849/zrzyxb.2008.03.013

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自然资源学报 ›› 2008, Vol. 23 ›› Issue (3) : 467-478. DOI: 10.11849/zrzyxb.2008.03.013

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基于TM遥感影像的湿地松林生物量研究

马泽清^1,2, 刘琪璟¹, 徐雯佳^1,2, 李轩然^1,2, 刘迎春^1,2

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Study on Biomass of Pinus elliottii Forest in Subtropical China Assisted with Remote Sensing

MA Ze-qing^1,2, LIU Qi-jing¹, XU Wen-jia^1,2, LI Xuan-ran^1,2, LIU Ying-chun^1,2

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摘要

利用江西千烟洲地区2005年Landsat5TM遥感图像数据和同期野外调查获得的28个样方湿地松(Pinuselliottii)各器官生物量数据,分析了植被指数、影像变换(主成分分析,缨帽变换)结果与森林各器官生物量之间的相关关系,进而建立了光谱-植被指数与生物量多元回归模型。湿地松林各器官与遥感光谱、植被指数拟合相关性大小依次为:叶生物量>枝生物量>地上生物量>树干生物量。通过多元回归模型计算出湿地松林叶生物量平均为573g.m^-2,地上生物量平均为6628g.m^-2,低于样地调查平均值。单一植被指数与生物量相关性较低,ND-VI并不适用于盖度较大的湿地松林;遥感影像经主成分分析后生物量光谱模型的相关系数略有提高,缨帽变换后反而使模型的相关系数降低。

Abstract

Based on field survey data,TM imagery acquired in 2005 was applied for organ-specific biomass estimation of Pinus elliottii plantation as well as other forest types in Qianyanzhou of Jiangxi Province,China.A total of 28 plots was investigated and the relationship of biomass with vegetation indices was clarified using image analysis including PCA(Principal Component Analysis) and TASSEL(Tasseled cap transformation).A series of regression models comparing biomass and spectra or vegetation index were established.The sequence of correlation coefficients from high to low was foliage biomass>branch biomass>above-ground biomass>stem biomass.The average above-ground biomass of Pinus elliottii forest as estimated with multiple regression analysis was 6628 g·m^-2,with leaf biomass of 573 g·m^-2,less than the mean result by field survey.Correlation of biomass with a single vegetation index was quite low,indicating that NDVI alone is not sufficient for estimating biomass of densely closed forest.Results of regression analyses were slightly better using PCA and slightly worse with TASSEL.

导出引用

马泽清, 刘琪璟, 徐雯佳, 李轩然, 刘迎春. 基于TM遥感影像的湿地松林生物量研究[J]. 自然资源学报, 2008, 23(3): 467-478 https://doi.org/10.11849/zrzyxb.2008.03.013

MA Ze-qing, LIU Qi-jing, XU Wen-jia, LI Xuan-ran, LIU Ying-chun . Study on Biomass of Pinus elliottii Forest in Subtropical China Assisted with Remote Sensing[J]. JOURNAL OF NATURAL RESOURCES, 2008, 23(3): 467-478 https://doi.org/10.11849/zrzyxb.2008.03.013

中图分类号： Q948 TP79

参考文献

[1] IPCC. Good practice gu idance for land u se, land2use change and forestry[R]. H ayama, Japan: IPCC National Greenhouse Gas Inventories Programme, 2003. 12295. [2] 戴小华, 于世孝. 遥感技术支持下的植被生产力与生物量研究进展[J]. 生态学杂志, 2004, 23 (4): 92~ 98. [DA I Xiao2hua, YU Shi-xiao. Advances in th e estimat ion ofvegetat ion p roductivity and b iomassw ith the aid s of remote sen sing. Ch in ese J ournal of E cology, 2004, 23(4): 92-98.] [3] H olb en B, Tuck er C J, Fan C J. Spectra l assessment of soybean leaf area and leaf b iomass[J]. P hotog rammetric Engineering and Remote Sen sing, 1980, 46: 651-656. [4] Crow T R, Sch laegel B E. A guide to us ing regress ion equat ions for est imating tree b iomass[J]. N orth ern J ourna l of Applied Forestry, 1988, 5: 15-22. [5] Zh engD, Rad emacher J, Chen J Q, et al. E stimating aboveground b iomass us ing Landsat 7 ETM + data across a managed landscape in northernWiscons in, USA[J]. Remote Sensing of Environmen t, 2004, 93: 402-411. [6] H al lR J, Skakun R S, A rsenault E J, et al. Modeling forest stand stru cture attribu tes us ingLandsatETM+ data: Application tomapp ing of ab oveground b iomass and stand volume[J]. F orestE cology andManag ement, 2006, 225: 378-390. [7] Prin ce S D. A mod el of region al p rimary produ ct ion for use w ith coarse reso lut ion satell ite data[J]. J ourna l of Remote Sen sing, 1991, 12(6): 1313-1330. [8] 国庆喜, 张锋. 基于遥感信息估测森林的生物量[J]. 东北林业大学学报, 2003, 31(2): 13～17. [GUO Qing-x,i ZHANG Feng. Est imation of forest b iomass based on remote sens ing. J ourna l of N orth ea st Forestry Universi ty, 2003, 31 (2): 13-17.] [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): 22～25. [YANG Cun-Jian, L IU Ji-yuan, ZHANG Zeng2xiang. Study on the es timation of th e tropical forest vegetation b iomass by u sing remote sens ing data, meteorological data and topograph ical data. Geography and Geo2Informa tion Scien ce, 2004, 20 (6): 22-25.] [10] 杨存建, 张增祥, 党承林, 等. 不同树种组的热带森林植被生物量与遥感地学数据之间的相关性分析[J]. 遥感技术与应用, 2004, 19 (4): 231～234. [YANG Cun-jian, ZHANG Zeng-xiang, DANG Chen-lin, et al. The correlation analysis of th e Landsat TM data, its derived data, meteorological data and topograph ic data w ith the b iomass of th e trop ical forest vegetat ion of d ifferent forest. RemoteSensing Technology and App lica tion, 2004, 19(4): 231-234.] [11] 邢素丽, 张广录, 刘慧涛, 等. 基于Landsat ETM数据的落叶松林生物量估算模式[J]. 福建林学院学报, 2004, 24 (2): 153～156. [XING Su2l,i ZHANG Guang2lu, L IU H u i2tao, et a l. Th e est imat ingmodel ofLarix gmel in ii forests biomass us ingLand sat ETM data. J ourna l of Fu jian Col lege of F orestry, 2004, 24(2): 153-156.] [12] 李仁东, 刘纪远. 应用Land sat ETM 数据估算鄱阳湖湿生植被生物量[J]. 地理学报, 2001, 56 (5): 532～541. [L I Ren-dong, LIU Ji-yuan. An estimation ofwetland vegetat ion b iomass in the Poyang Lake us ing Landsat ETM Data. Acta Geog raph ica Sin ica, 2001, 56(5): 532-541.] [13] Suganuma H, Abe Y, Tan iguch iM, et al. Stand b iomass es timationmethod by canopy coverage for app licat ion to remote sensing in an arid area ofWestern Au stralia[J]. F orest E cology andManag ement, 2006, 222: 75-87. [14] 刘卫国, 潘晓玲, 高炜, 等. 新疆阜康绿洲生态系统生物量遥感估算分析[J]. 资源科学, 2005, 25 (9): 134～141. [LIUWei-guo, PAN Xiao-ling, GAOWe,i et al. E st imat ion of ecosystem b iomass in FukangOasis of Xin j iang us ing remote sens ing. ResourcesScience, 2005, 25(9): 134-141.] [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. [N IU Zhi-chun, NI Shao-xiang. Study on models formon itoring of grass land b iomass around Q inghai Lake assisted by remote sensing. Acta Geograph ica Sin ica, 2003, 58(5): 695-702.] [16] 张剑, 李贵才, 刘先华, 等. 用群落调查及光谱观测数据的主成分分析方法研究草场各生物参数之间的关系[J]. 遥感学报, 2005, 9 (6): 725～732. [ZHANG J ian, LI Gui-ca,i LIU X ian2hua, et a l. Relat ion s of grass land bio-parameters based on PCA comb in ing commun ity survey and vegetation Spectrum. Jou rnal of Remote Sensing, 2005, 9 (6): 725 -732.] [17] Labrecque S, Fou rn ier R A, Luther J E, et a l. A comparison of fourmethods tomap b iomass from Landsat2TM and inventory data in western New found land[J]. Forest Ecology andManagemen t, 2006, 226: 129-144. [18] 廖静娟. 成像雷达在森林生态研究中的应用[J]. 遥感技术与应用, 1998, 13(2): 57~ 63. [LIAO Jing2 juan. The imaging radars for forest eco log ical app licat ion s. Remote Sensing Technology and App lica tion, 1998, 13(2): 57-63.] [19] Gaveau D L, BalzterH, P lummer S. Forestwoody b iomass class ificat ion w ith satellite-based radar coherence over 900000 km2 in Cen tral Sib eria[J]. Forest E cology and managemen t, 2003, 174: 65-75. [20] LefskyM A, H ard ing D, CohenW B. Su rface lidar remote sen sing of basal area and b iomass in deciduous forests of easternMarylandUSA [J]. Remote Sen sing of E nvironmen t, 1999, 67: 83-99. [21] LefskyM A, Turn er T D, Gu zy PM, et a l. Comb in ing lidar estimates of aboveground b iomass and Landsat estimates of stand age for spatially extens ive validat ion ofmodeled forest produ ct ivity[J]. Remote Sensing of E nvironmen t, 2005, 95: 549-558. [22] 齐家国, 王翠珍. 微波/光学植被散射模型及其在热带森林中的应用[J]. 电波科学学报, 2004, 19 (4): 409～418. [Q I Jia2guo, WANG Cui-zhen. A m icrowave/opt ical syn erg ist ic model and its app lications in trop ical forest canop ies. Ch in ese J ournal of Rad io Scien ce, 2004, 19(4): 409-418.] [23] Coh enW B, Sp iesT A. E st imat ing structural attributes ofDouglas2fir western h emlock forest s tand s from Land sat and Spot imagery[J]. Remote Sen sing of Environment, 1992, 41(1): 1-17. [24] 郭志华, 彭少麟, 王伯荪. 利用TM 数据提取粤西地区的森林生物量[J]. 生态学报, 2002, 22 (1): 1832～1839. [GUO Zhi-hua, PENG Shao-lin, WANG Bo-sun. Es timating forest b iomass inwestern Guangdong us ingLand sat TM data. Acta E collog ica Sin ica, 2002, 22(1): 1832-1839.] [25] 张连水, 庄志贤, 李秀全. 湿地松地上生物量变化研究[J]. 林业科技开发, 2001, 15 (增刊): 42~ 43. [ZHANG Lian-shu,i ZHUANG Zh i2xian, LI X iu2quan. Research on the changes of above ground b iomass ofP inu s elliottii. China F orestry Science and T echnology, 2001, 15 (App): 42-43.] [26] 中国科学院南方山区综合科学考察队, 江西省吉安地区自然资源开发治理办公室. 红壤丘陵开发和治理-千烟洲综合开发治理试验研究[M]. 北京: 科学出版社, 1989. 1～23. [Scien tific Investigation T eam of Ch inese Academy of Sciences for Sou th ernMountainousA reas, Managemen tO ffice ofNatu ralResources in J ia'n P refecture of Jiangx iProv ince. Management and Developmen t of RedH illyArea-Experimental Study in Q ianyanzhou. Beijing: Science Press, 1989. 1-23.] [27] 刘琪璟, 胡理乐, 李轩然. 小流域治理20年后的千烟洲植物多样性[J]. 植物生态学报, 2005, 29 (5): 766～774. [LIU Qi-jing, HU Li-le, LI Xuan-ran. P lan t d iversity in Q ianyan zhou after 20 years of smallwatersh ed treatmen t. Acta Phy toecolog ica Sinica, 2005, 29 (5): 766-774.] [28] 李轩然, 刘琪璟, 陈永瑞, 等. 千烟洲人工林主要树种地上生物量的估算[J]. 应用生态学报, 2006, 17 (8): 1382～1388. [L IXuan-ran, L IU Q i-jing, CHEN Yong-ru ,i et a l. Aboveground b iomass of th ree con ifers in Q ianyan zhou plantation. Chinese J ou rnal of App lied E cology, 2006, 17(8): 1382-1388.] [29] 田庆久, 闵祥军. 植被指数研究进展[J]. 地球科学进展, 1998, 13(4): 327~ 333. [T IAN Q ing-jiu, M IN X iang-jun. A dvances in study on vegetat ion ind ices. Advances in Ea rth Scien ce, 1998, 13 (4): 327-333.] [30] H uete S R. A soil-adjus ted vegetation index(SAV I) [J]. Remote Sen sing of E nvironment, 1988, 25: 295-309. [31] 梅安新, 彭望琭, 秦其明, 等. 遥感导论[M]. 北京: 高等教育出版社, 2001. 243. [MEI An-xin, PENG Wang-lu, QING Qi-ming, et al. An In troduction toRemote Sens ing. Beij ing: H igher Educat ion Press, 2001. 243.] [32] BergenK M, Dob sonM C. In tegration of remotely sen sed radar imagery inmod eling andmapp ing of forest b iomass and net p rimary produ ct ion[J]. E colog ica lMod elling, 1999, 122 (3): 257-274. [33] R eesW G, Golubeva E, Will iamsM. A re vegetation indices usefu l in the A rctic? [J]. P olar Record, 1998, 34(191): 333-336. [34] Muukkonen P, H eiskan en J. Est imating b iomass for boreal forests usingASTER satel lite data comb inedwith standw ise forest inven tory d ata[J]. Remote Sen sing of Environment, 2005, 99: 434-447. [35] Brown S, Iverson L R. Biomass estimates for trop ical forests[J]. World Resource Review, 1992, 4: 366-384. [36] 王效科, 冯宗炜, 欧阳志云. 中国森林生态系统的植物碳储量和碳密度研究[J]. 应用生态学报, 2001, 12 (1): 13 ~16. [WANG X iao-ke, FENG Zong-we,i OUYANG Zhi-yun. V egetation carb on storage and dens ity of forest ecosys tems in Ch ina. Ch in ese J ourna l of Applied E cology, 2001, 12 (1): 13-16.] [37] 池宏康, 周广胜, 许振柱, 等. 表观反射率及其在植被遥感中的应用[J]. 植物生态学报, 2005, 29 (1); 74～80. [CH I Hong-kang, ZHOU Guang-sheng, XU Zhen-zhu, et al. Apparent reflectance and its app lication in vegetat ion remote sensing. Acta Phy toecolog ica Sinica, 2005, 29(1): 74-80.] [38] 李轩然, 刘琪璟, 蔡哲, 等. 湿地松叶面积指数的测算[J]. 生态学报, 2006, 26 (12): 4099~ 4105. [LI Xuan-ran, LIU Qi-jing, CAI Zhe, et al. L eaf area indexmeasu remen t ofP inu s elliotii p lan tation. Acta E colog ica Sinica, 2006, 26(12): 4099-4105.] [39] 马泽清, 刘琪璟, 徐雯佳, 等. 江西千烟洲人工林生态系统碳蓄积特征研究[J]. 林业科学, 2007. [LIMA Ze-qing, LIU Qi-jing, XUWen-jia, et al. Carbon storage of art ificial forest in Q ianyanzhou, Jiangxi Prov ince. Scien tia Silvae Sinicae, 2007(In press).]