Research on Spectral Reflectance Characteristics for Desert Meadow of Northwest China
Received date: 2006-05-24
Revised date: 2006-09-11
Online published: 2006-10-15
Taking Anxi desert grassland that locates in northwestern arid zone as experimental area of the observation, ground spectral reflectance of the saline lowland meadow, extremely arid desert meadow and desert shrubs were determined. The paper analyzes the spectral reflectance common characteristics and red edge parameter characteristics of main desert meadow vegetations. At the same time, the major interior reasons and influencing factors that lead to the difference of grassland spectral characteristics are discussed. The results show that canopy spectral reflectance has a marked difference for different desert meadow types in the near infrared waves because the internal structures of leaf laminae change greatly.The canopy spectral reflectance of the same vegetation has relation to their growing status. Influenced by sandy land backgrounds, in the near infrared waves, the canopy spectral reflectance of desert meadow is clearly smaller than the leaf spectral reflectance. There are “double peak” phenomena for the red edge of canopy spectra in desert meadow, and the maximum value of red edge parameters of different vegetative types is the biggest for sandy land vegetation and the smallest for desert vegetation. Research on spectral reflectance characteristics for desert meadow of Anxi plays an important role in the research of physical chemistry performances, remote sensing retrieval, classification and investigation on the vegetation in an arid area.
Key words： Spectra; Vegetation.; Desert meadow; Reflectance
WANG Run-yuan , ZHANG Kai , WANG Xiao-ping1 , GUO Ni , SI Jian-hua . Research on Spectral Reflectance Characteristics for Desert Meadow of Northwest China[J]. Advances in Earth Science, 2006 , 21(10) : 1063 -1069 . DOI: 10.11867/j.issn.1001-8166.2006.10.1063
[1] Tong Qingxi,Tian Guoliang.Spectra and Analysis of Typical Earth Objects of China[M]. Beijing:Science Press,1990. [童庆禧,田国良.中国典型地物波谱及其特征分析[M].北京:科学出版社,1990.]
[2] LeemanV. The NASA Earth Resources Spectral Information System: A Data Compilation [M]. NASA-CR-115757, Willo Run Lab, Michigan University,1971.
[3] Su Lihong, Li Xiaowen, Wang Jindi, et al. Some problems in constructing the ground object spectral knowledge base and its services[J]. Advances in Earth Science,2003,18(2):185-191.[苏理宏,李小文,王锦地,等.典型地物波谱知识库建库与波谱服务的若干问题[J].地球科学进展,2003,18(2):185-191.]
[4] Tong Qingxi, Zheng Lanfen, Wang Jinnian, et al. Study on imaging spectrometer remote sensing information for wetland vegetation[J]. Journal of remote sensing,1997,1(1):50-57.[童庆禧,郑兰芬,王晋年,等.湿地植被成像光谱遥感研究[J].遥感学报,1997,1(1):50-57.]
[5] Pu Ruiliang,Gong Peng. Hyperspectral Remote Sensing and Its Applications[M]. Beijing:Higher Education Press, 2000:123-327.[浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社,2000:123-327.]
[6] Tian Qingjiu, Gong Peng, Zhao Chunjiang, et al. A feasibility study on diagnosing wheat water status using spectral reflectance[J]. Chinese Science Bulletin, 2000,45(24):2 645-2 650.[田庆久,宫鹏,赵春江,等.用光谱反射率诊断小麦水分状况的可行性分析[J].科学通报,2000,45(24):2 645-2 650.]
[7] Tang Yanlin, Huang Jingfeng, Wang Xiuzhen, et al. Comparison of the characteristics of hyperspectra and the red edge in rice, corn and cotton[J]. Scientia Agricultura Sinica,2004,37(1):29-35.[唐延林,黄敬峰,王秀珍,等.水稻、玉米、棉花的高光谱及其红边特征比较[J].中国农业科学,2004,37(1):29-35.]
[8] Liu Jianming,Chen Jianping. Indexing of spectrum curves: Method and implication[J]. Advances in Earth Science,1995,10(2):205-209.[刘建明, 陈建平.波谱曲线指数化的方法和意义[J].地球科学进展,1995,10(2):205-209.]
[9] Tian Guoliang. Imaging spectrometry remote sensing technology in geological investigations on the mineral resources[J]. Advances in Earth Science,1992,7(5):74-75.[田国良.矿产地质调查中的成像光谱遥感技术[J].地球科学进展,1992,7(5):74-75.]
[10] Wan Yuqing, Zhang Fengli, Yan Yongzhong. The application of the hyperspectral remote sensing technology to water environment monitoring[J]. Remote Sensing for Land & Resources,2003,(3):10-14. [万余庆,张凤丽,闫永忠.高光谱遥感技术在水环境监测中的应用研究[J].国土资源遥感,2003,(3):10-14.]
[11] Tian Qingjiu, Wang Shixin, Wang Leyi, et al. Remote sensing standardized spectral database system design[J]. Remote Sensing Technology and Application, 2003,18(4):185-190.[田庆久,王世新,王乐意,等.典型地物标准波谱数据库系统设计[J].遥感技术与应用,2003,18(4):185-190.]
[12] Zhang Yan, Bo Liqun, Lu Xingchang. Design and development of object spectrum database in Jingyuetan of Changchun[J]. Remote Sensing Information,2002,(6):25-27.[张妍,薄立群,路兴昌.长春净月潭地物波谱数据库的研究与开发[J].遥感信息,2002,(6):25-27.]
[13] Tueller P T. Remote sensing technology for rangeland management applications[J].Journal of Range Management, 1989, 42 (6): 442-453.
[14] Zhang Fengli, Yin Qiu, Kuang Dingbo, et al. Analysis of time series spectrum feature parameters derived from dominant natural grasslands in the region around Qinghai lake[J]. Acta Ecologica Sinica, 2005, 25 (12):3 155-3 160.[张风丽,尹球,匡定波,等.环青海湖地区天然草地时序光谱特征参量分析[J].生态学报, 2005, 25 (12):3 155-3 160.]
[15] Long Rujun,Mou Xindai,Chen Gong. An analysis of relationship between the spectral reflectance and the herbage growing on alpine meadow grassland[J]. Pratacultural Science,1994,11(1):53-55.[龙瑞军,牟新待,陈功.高山草地的反射光谱与牧草长势的相关分析[J].草业科学,1994,11(1):53-55.]
[16] Huang Jingfeng, Wang Xiuzhen. The characteristics of natural grassland spectral vegetation indices in eastern and middle part of northern Tianshan mountain[J]. Journal of Mountain Science,1999,17(2):119-124.[黄敬峰,王秀珍. 天山北坡中东段天然草地光谱植被指数特征[J].山地学报,1999,17(2):119-124.]
[17] Wang Yanrong. The influence of different grazing intensity on the near-ground spectral reflectance of Leymus chinsesis steppe[J]. Grassland of China,2001,23(2):1-6.[王艳荣.不同放牧强度对羊草草地近地面反射波谱特征的影响研究[J].中国草地,2001,23(2):1-6.]
[18] Lillesand T M, Kiefer R W. Remote Sensing and Image Interpretation[M]. New York: John Wiley & Sons, Inc,1994:17-50.
[19] Knipling E B. Phusical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation[J]. Remote Sensing of Environment,1970,(1):155-159.
[20] Tang Yanlin, Wang Xiuzhen, Wang Renchao. Study on the hyperspectral and their red edge characteristics of corn[J]. Journal of Mountain Agriculture and Biology,2003,22(3):189-194.[唐延林,王秀珍,王人潮.玉米高光谱及其红边特征分析[J].山地农业生物学报,2003,22(3):189-194.]
[21] Chen Shupeng, Tong Qingxi, Guo Huadong. Hyperspectral remote sensing mechanism and material recognition[C]∥Chen Shupeng, et al, eds. The research on remote sensing mechanism. Beijing: Chinese Scientific Press, 1998:139-233.[陈述彭,童庆禧,郭华东.高光谱分辨率遥感信息机理与地物识别[C]∥陈述彭主编.遥感信息机理研究.北京:科学出版社,1998:139-233.]
[22] Curran P J, Dungan J L, Gholz H L. Exploring the relationship between reflectance red edge and chlorophyll content in slash pine[J]. Tree Physiology, 1990, 7: 33-48.
[23] Miller J R. Season patterns in leaf reflectance red edge characteristics[J]. Internal Journal of Remote Sensing, 1991, 12(7) :1 509-1 523.
[24] Filella D, Pen-uelas J. The red edge position and shape as indicators of plant chlorophyll content , biomass and hydric status[J]. Internal Journal of Remote Sensing, 1994, 15(7) :1 459-1 470.
[25] Liu Zhanyu, Huang Jingfeng, Wu Xinhong, et al. Hyperspectral remote sensing estimation models for the grassland biomass[J]. Transactions of the CSAE, 2006,22(2): 111-115. [刘占宇,黄敬峰,吴新宏,等.草地生物量的高光谱遥感估算模型[J].农业工程学报,2006,22(2): 111-115.]
[26] Zhao Dehua, Li Jianlong, Song Zijian. Hyperspectral remote sensing for estimating biochemical variables of canopy[J]. Advances in Earth Science,2003,18(1):94-99.[赵德华,李建龙,宋子键.高光谱技术提取植被生化参数机理与方法研究进展[J].地球科学进展,2003,18(1):94-99.]
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