植被指数遥感演化研究进展
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摘要
近年来,众多学者对植被指数开展了大量的研究,而卫星遥感作为监测全球植被指数变化最有效的手段之一,其内涵深意还不被人们所熟知。同时,作为已经具有多年发展史且用途广泛的植被指数来说,截至目前,还缺乏一个系统性和科学性的归纳与总结。鉴于此,该研究旨在针对不同遥感数据源的主要植被指数进行了概括与总结。其中,重点探讨了植被指数的类型及其发展史、不同植被指数的遥感数据类型及来源、植被指数的影响因素及其应用领域,进而在一定程度上为相关领域的研究者提供一个系统性和全面性的参考价值及指导意义,提高其普适性和熟知度。
In recent years,vegetation index has been conducted extensive research by many scholars.Satellite remote sensing is one of the most effective measures of detecting changes in the global vegetation index,which is not yet known.So far,there is a lack of a systematic and scientific summary of comprehensive vegetation index that has been used for many years.In view of this,this study summarized the main vegetation index of different remote sensing data sources.And the type of vegetation index and its development history,remote sensing data type and source of different vegetation index,the influence factors of vegetation index and its application were mainly discussed,in order to provide a systematic and comprehensive reference value and guiding significance for researches,improve its universality and familiarity.
In recent years,vegetation index has been conducted extensive research by many scholars.Satellite remote sensing is one of the most effective measures of detecting changes in the global vegetation index,which is not yet known.So far,there is a lack of a systematic and scientific summary of comprehensive vegetation index that has been used for many years.In view of this,this study summarized the main vegetation index of different remote sensing data sources.And the type of vegetation index and its development history,remote sensing data type and source of different vegetation index,the influence factors of vegetation index and its application were mainly discussed,in order to provide a systematic and comprehensive reference value and guiding significance for researches,improve its universality and familiarity.
引文
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[9]程红芳,章文波,陈锋.植被覆盖度遥感估算方法研究进展[J].国土资源遥感,2008(1):13-18.
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[13]CHOPRA P.Drought risk assessment using remote sensing and GIS:A case study of Gujarat[D].India:Indian Institute of Remote Sensing,2006.
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[22]HUETE A R.A soil-adjusted vegetation index[J].Remote Sensing of Environment,1988,27(3):295-309.
[23]RHEW I C,VANDER S A,KEARNEY A,et al.Validation of the normalized difference vegetation index as a measure of neighborhood greenness[J].Annals of Epidemiology,2011,21(12):946-952.
[24]CLEVERS J G P W.Application of a weighted infrared-red vegetation index for estimating leaf area index by correcting for soil moisture[J].Remote Sensing of Enviroment,1989,29(1):25-37.
[25]SHEN L,GUO X.Suitability of the normalized difference vegetation index and the adjusted transformed soil-adjusted vegetation index for spatially characterizing loggerhead shrike habitats in North American mixed prairie[J].Journal of Applied Remote Sensing,2013,7(3):641.
[26]RONDEAUX G,STEVEN M,BARET F.Optimization of soil-adjusted vegetation indices[J].Remote Sensing of Environment,1996,55(2):95-107.
[27]MIURA T,HUETE A R,YOSHIOKA H,et al.An error and sensitivity analysis of atmospheric resistant vegetation indices derived from dark target-based atmospheric correction[J].Remote Sensing of Environment,2001,78(3):284-298.
[28]GOSOVIC B.The quest for world environmental cooperation:The case of the UN Global Environment Monitoring System[J].Jorunal of Development Studies,1992,31(2):284-291.
[29]LI Z P,G X L.A suitable vegetation index for quantifying temporal variation of leaf[J].Canadian Journal of Remote Sensing,2011,36(6):709-721.
[30]JIANG Z,HUETE A R,QI J.Interpretation of the modified soil-adjusted vegetation index isolines in red-NIR reflectance space[J].Journal of Applied Remote Sensing,2007,1:1-12.
[31]PISEK J,RYU Y,SPRINTSIN M,et al.Retrieving vegetation clumping index from multi-angle imaging spectro radiometer(MISR)data at 275mresolution[J].Remote Sensing of Environment,2013,138(11):126-133.
[32]PEGUEROPINA J J,MORALES F,FLEXAS J,et al.Photochemistry,remotely sensed physiological reflectance index and de-epoxidation state of the xanthophyll cycle in Quercus coccifera under intense drought[J].Oecologia,2008,156(1):1-11.
[33]孙晓鹏,王天明,寇晓军,等.黄土高原泾河流域长时间序列的归一化植被指数动态变化及其驱动因素分析[J].植物生态学报,2012,36(6):511-521.
[34]何霜.基于MODIS数据的植被指数与植被覆盖度关系研究:以比值植被指数和归一化植被指数为例[J].科技创新与应用,2015(28):285.
[35]HUETE A R,HUA G,QI J,et al.Normalization of multidirectional red and NIR reflectances with the SAVI[J].Remote Sensing of Environment,1992,41(92):143-154.
[36]丁辉,张茂省,李林,等.四种卫星遥感数据源的黄土滑坡灾害解译效果对比研究[J].中国地质灾害与防治学报,2009,20(3):31-34.
[37]邓薇,高菲.国内外主要卫星遥感数据源概览[J].卫星应用,2017(2):26-29.
[38]田庆久.植被指数研究进展[J].地球科学进展,1998,13(4):327-333.
[39]GILABERT M A,GONZLEZ-PIQUERAS J,GARCH-HA-RO F J,et al.A generalized soil-adjusted vegetation index[J].Remote Sensing of Environment,2002,82(2):303-310.
[40]RICHARDSON A J,WIEGAND C L.Distinguishing vegetation from soil background information[J].Photogrammetric Engineering&Remote Sensing,1977,43(12):1541-1552.
[41]JACKSON R D.Spectral indices in n-space[J].Remote Sensing of Environment,1983,13(5):409-421.
[42]HUETE A R,LLU H,de LIRA G R,et al.A soil color index to adjust for soil and litter noise in vegetation index imagery of arid regions[C]//Geoscience and Remote Sensing Symposium,1994.IGARSS′94.Surface and Atmospheric Remote Sensing:Technologies,Data Analysis and Interpretation.International.IEEE,1994(2):1042-1043.
[43]ESCADAFAL R.Remote sensing of soil color:Principles and applications[J].Remote Sensing Reviews,1993,7(3):261-279.
[44]赵巧华,何金海.基于资源卫星图像对NDVI进行大气修正的一种简单方法[J].南京气象学院学报,2003,26(2):236-242.
[45]YORAM J,CLAUDIA S.Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery[J].International Journal of Remote Sensing,1988,9(8):1357-1381.
[46]JACKSON R D,PJJR P.Spectral response of architecturally different wheat canopies[J].Remote Sensing of Environment,1986,20(1):43-56.
[47]QI J,HUETE A R,MORAN M S,et al.Interpretation of vegetation indices derived from multi-temporal SPOT images[J].Remote Sensing of Environment,1993,44(1):89-101.
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