棉 花 学 报   Cotton Science  2005,17(6):371-375

 

基于高光谱数据提取作物冠层特征信息的研究进展
祁亚琴1,王登伟1,陈冠文2,黄春燕1,段震宇2,陈  燕1,袁  杰1,杨  坤1
(1.新疆兵团绿州生态农业重点实验室,石河子 832003;2.新疆农垦科学院,石河子 832000)

摘要高光谱(Hyperspectral)遥感是指光谱分辨率在10-2λ的遥感信息,其特点是光谱分辨率高(5~10nm)、波段连续性强(在0.4~2.5μm范围内有几百个波段)。高光谱遥感器既能对目标成像(有时也称成像光谱遥感)、又能测量目标物的波谱特性,因此,它不仅可以用来提高对农作物和植被类型的识别能力,而且还可以用来监测农作物长势和反演农作物的理化特性。绿色植物具有独特的光谱曲线特征,而作物具有绿色植物典型的光谱特征曲线,基于作物的光谱特征研究与其生理生化特性之间的关系,高光谱遥感数据在提取作物生理生化特征、提取作物冠层信息、估产以及预测病虫害等许多方面都表现出巨大的应用潜力。本文概述了利用高光谱数据提取作物冠层信息的研究现状、展望及其在新疆棉花生产中的应用和前景。
关键词高光谱遥感;提取;作物冠层特征信息
中图分类号S562      文献标识码:A
文章编号1002-7807(2005)06-0371-05  [全文,2265KB]

参考文献
[1]王登伟,李少昆,田庆久,等.棉花主要栽培生理参数的高光谱估测研究[J].中国农业科学,2003,36(7):770-774.
[2]申广荣,王人潮.植被高光谱的应用研究综述[J].上海交通大学学报(农业科学版)2001,19(4):315-321.
[3]BOUMAN B A M.LinkingPhysical remote sensing models with crop growth simul ation models , Applicated for sugar beet[J]. InternationalJournal of Remote Sensing,1992,13(14):2565-2581.
[4]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.
[5]TONG Qin-xi,ZHEN Lan-fen,WANG Jin-nian(童庆禧,郑兰芬,王晋年). Study on imaging spectrometer remote sensing information for wetland vegetation[J]. Journal of Remote Sensing(遥感学报)1997,(1):50-57.(in Chinese)
[6]PRICE S D. Satellite remote sensing of primary produc-tion:comparison of results for Sahelian grasslands 1981-1988:Int J Remote Sensing,1991a,12(6):1301-1311.
[7]CHONG D L S. Relating the global vegetation index to net primary productivity and actual evapotranspiration over Africa[J].Int J Remote Sensing,1993,14(8):1517-1546.
[8]XIAO Qian-guang,CHEN Wei-ying,DU Pong,et al(肖乾广,陈维英,杜鹏等). Monitoring the ecological transect in east Asia monsoon region by meteor logical satellite remote sensing[J].Acta Botanica Sinica(植物学报).1997,39(9):826-830.(in Chinese)
[9]张良培,郑兰芬.利用高光谱对生物量进行估计[J].遥感学报,1997,1(2):111-114.
[10]HAME T. A new methodology for the estimation of biomass of conifer-dominated boreal for estusing NOAA AVHRR data[J].Int J Remote Sensing,1997,18(15):3211-3243.
[11]ROSS J K ,Marshark A L .The influence of leaf orientation and the specular componet of leaf reflectance on the canopy bid irectional reflectance [J].Remote Sens. Environment,27:251-260.
[12]杨长明. 不同品种水稻群体冠层光谱特征比较研究[J]. 应用生态学报,2002,13(6):689-692.
[13]李云梅.水稻冠层垂直反射率模拟[J].作物学报,2003,29(3):397-401.
[14]EDUARDO R,Jose R C,Ines M M. Esti-mating fapar from nine vegetation indices for irrigat-edand nonirrigated faba bean and semileafless pea canopies[J]. Remote Sens Environ,1998,66:87-100.
[15]ANDRIEU B,Baret F,Jacquemoud S,et al. Evaluation of an improved version of SAIL model for simulatingbidirectional reflectance of sugar beet canopies[J].Remote Sens Environ,1997,60:247-257.
[16]PATRICE B,Marc L .A method of biophysi-calparameter retrieval at global scaleby inversion of a vegetation reflectance Model[J]. Remote Sens En-viron,1999,67:251-266.
[17]MCMICHAE C E,Hope A S,Stow D A,et al. Estimat-ing CO2 exchange at two sites in arctic tundra ecosystems during the growing season using aspectral vege-tation index[J]. IntJ Remote Sensing,1999,20(4):683-698.
[18]FUAN T.Derivative analysis of hyperspectral data[J].Remote Sens Environ,1998,66:41-51.
[19]方红亮,田庆久.高光谱遥感在植被监测中的研究综述[J].遥感技术与应用,1998,13(1):12-18.
[20]蒲瑞良,宫鹏.森林生物化学与CASI高光谱分辨率遥感数据的相关分析[J].遥感学报,1997,1(2):21-25.
[21]唐延林,王秀珍,黄敬峰,等.棉花高光谱及红边特征(I)[J].棉花学报,2003,15(3):146-150.
[22]唐延林,王秀珍,黄敬峰,等.棉花高光谱及红边特征(II)[J].棉花学报,2003,15(4):215-220.
[23]MICHAEL J R,John F A. Lossly compression ofhyperspectral data using vector quantization [J] .Remote Sens Environ,1997,61:419-436.
[24]JOHN C P. Approach for analysis of reflectance spectra[J].Remote Sens Environ,1998,64:316-330.
[25]ROBERS D A. Mapping chaparral in the santa monica mountains using multiple end member spectral mixture models[J]. Remote Sens Environ,1997,65:267-79.
[26]BARRY D G. Leafmod:A new within-leaf radiative transfer model[J]. Remote Sens Environ, 1998,63:182-193.
[27]ANDRIEU B. Evaluation of an improved version of sail model for simulating bidirectional reflectance of sugar Beet canopies[J]. Remote Sens Environ,1997,60:247-257.
[28]蒋桂英,李鲁华,刁  鹏,等. 高光谱分辨率遥感在新疆棉花上的应用前景[J]. 中国棉花,2003,30(2)∶2-4.