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遥感技术与应用  2014, Vol. 29 Issue (6): 943-948    DOI: 10.11873/j.issn.1004-0323.2014.6.0943
遥感应用     
不同等级石漠化区MODIS-NDVI与MODIS-EVI对比分析
陈燕丽1,2,莫伟华1,2,莫建飞1,2,黄永璘1,2,罗永明1,2
(1.广西壮族自治区气象减灾研究所,国家卫星气象中心遥感应用试验基地,广西 南宁530022;
2.气象GIS应用联合实验室,广西 南宁530022)
Comparison between MODIS\|NDVI and MODIS-EVI in Kasrt Rocky Desertification Area
Chen Yanli1,2,Mo Weihua1,2,Mo Jianfei1,2,Huang Yonglin1,2,Luo Yongming1,2
(1.Guangxi Meteorological Disaster Mitigation Institute,Remote Sensing Application and
 Validation Base of NSMC,Nanning 530022,China;
2.Joint Laboratory for GIS Application,Nanning 530022,China)
 全文: PDF(1863 KB)  
摘要:

利用2001~2010年10 a的MODIS资料,比较分析广西喀斯特不同等级石漠化区MODIS\|NDVI和MODIS\|EVI的时间变化特征差异,利用全时间序列及16 d10 a均值序列分析NDVI和EVI之间的相关关系,比较线性及对数相关模型对两种植被指数相关关系的拟合效果,结果表明:石漠化等级由重度到潜在,两者之间的差值也随着植被覆盖度的增加而增大,植被覆盖度越低,NDVI和EVI所表征的植被变化特征越相似。NDVI的峰值出现时间多晚于EVI且其反映的植被变化趋势与实况更吻合,但其NDVI偏高;各等级石漠化的两种时间序列NDVI与EVI的对数相关关系优于线性相关,两种植被指数的相关性随着植被覆盖度的降低而增大,但全时间序列中轻度、中度石漠化相关性变化规律与16 d 10 a均值序列相反。

关键词: 石漠化MODISNDVIEVI    
Abstract:

In this paper,MODIS data from 2001 to 2010 is used to analyze MODIS\|NDVI and MODIS\|EVI time\|varying characteristic differences between different levels of karst rocky desertification area in Guangxi.The all\|time series and 16d average sequence of 10 years are used to analyze the correlation between NDVI and EVI.Fitting results of NDVI and EVI series,including logarithmic model and linear regression model are compared.The results shows that:With the rocky desertification levels from severe to potentially,the difference between NDVI and EVI increases with the increasing of vegetation coverage.That is as the lower of the vegetation coverage,vegetation characteristics change exhibit more similar between NDVI and EVI.The NDVI peak value appears later than that of EVI.Vegetation changes trends display in NDVI sequence are more consistent with ground surveys,but its value are higher.Logarithmic model is better than linear regression model for fitting the relationship between NDVI and EVI of different levels of rocky desertification.The corelation between NDVI and EVI increases with the redution of vegetation coverage for both series.The corelation between the two indices for mild and moderate rocky desertification are opposite for the two series.

Key words: Karst rocky-desertification    MODIS    NEVI    EVI
收稿日期: 2013-06-09 出版日期: 2015-01-15
:  TP 79  
基金资助:

中国气象局气候变化专项(CCSF201308),广西自然科学基金项目(桂科自0991207),广西气象局重点气象科研与业务攻关项目(QK200602),广西自然科学基金项目(2013GXNSFAA019283)。

通讯作者: 莫伟华(1968-),女,广西宾阳人,高级工程师,硕士,主要从事生态气象和环境遥感研究。Email:mwh0419@163.com。    
作者简介: 陈燕丽(1982-),女,广西柳州人,博士研究生,工程师,主要从事生态气象与遥感应用研究。Email:cyl0505@sina.com。
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引用本文:

陈燕丽,莫伟华,莫建飞,黄永璘,罗永明. 不同等级石漠化区MODIS-NDVI与MODIS-EVI对比分析[J]. 遥感技术与应用, 2014, 29(6): 943-948.

Chen Yanli,Mo Weihua,Mo Jianfei,Huang Yonglin,Luo Yongming. Comparison between MODIS\|NDVI and MODIS-EVI in Kasrt Rocky Desertification Area. Remote Sensing Technology and Application, 2014, 29(6): 943-948.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2014.6.0943        http://www.rsta.ac.cn/CN/Y2014/V29/I6/943

[1]Xiong Kangning,Li Ping,Zhou Zhongfa,et al.Karst Rocky Desertification Study based on RS and GIS Technology[M].Beijing:Geological Publishing House,2002.[熊康宁,黎平,周忠发,等.喀斯特石漠化的遥感-GIS典型研究[M].北京:地质出版社,2002.]

[2]Chen Yanli,Long Buju,Pan Xuebiao,et al.Grassland Vegetation Change based on MODIS NDVI Data and Climate Information[J].Journal of Applied Meterological Science,2010,21(2):229-236.[陈燕丽,龙步菊,潘学标,等.基于MODIS NDVI和气候信息的草原植被变化监测[J].应用气象学报,2010,21(2):229-236.]

[3]Chen Yanli,Long Buju,Pan Xuebiao,et al.Differences between MODIS NDVI and AVHRR NDVI in Monitoring Grasslands Change[J].Journal of Remote Sensing,2011,15(4):831-845.[陈燕丽,龙步菊,潘学标,等.基于MODIS NDVI和AVHRR NDVI对草原植被变化监测差异[J].遥感学报,2011,15(4):831-845.]

[4]Guo Ni.Vegetation Index and Its Advances[J].Arid Meteorology,2003,21(4):71-75.[郭铌.植被指数及其研究进展[J].干旱气象,2003,21(4):71-75.]

[5]Liu H Q,HueteA.A Feedback based Modification of the NDVI to Minimize Canopy Background and Atmospheric noise[J].IEEE Transactions on Geoscience and Remote Sensing,1995,33(2):457-465.

[6]Huete A,Didan K,Miura T,et al.Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices[J].Remote Sensing of Environment,2002,83(1):195-213.

[7]Wang Zhengxing,Liu Chuang.From AVHRR-NDVI to MODIS-EVI:Advances in Vegetation Index Research[J].Acta Ecologica Sinica,2003,23(5):979-987.[王正兴,刘闯.植被指数研究进展[J].生态学报,2003,23(5):979-987.]

[8]Cheng Qian,Huang Jingfeng,Wang Renchao.Preliminary Analysis of Difference between MODIS and NOAA/ AVHRR Vegetation Indices[J].Bulletin of Science and Technology.2005,21(2):205-209.[程乾,黄敬峰,王人潮.MODIS和NOAA/AVHRR植被指数差异初步分析[J].科技通报,2005,21(2):205-209.]

[9]Wang Zhengxing,Liu Chuang,Chen Wenbo,et al.Preliminary Comparison of MODIS-NDVI and MODIS-EVI in Eastern Asia[J].Geomatics and Information Science of Wuhan University,2006,31(5):407-410.[王正兴,刘闯,陈文波,等.MODIS增强型植被指数EVI与NDVI初步比较[J].武汉大学学报:信息科学版,2006,31(5):407-410.]

[10]Li Hongjun,Zheng Li,Lei Yuping,et al.Comparison of NDVI and EVI based on EOS/MODIS Data[J].Progress in Geography,2007,26(1):26-32.[李红军,郑力,雷玉平,等.基于EOS/ MODIS 数据的NDVI 与EVI 比较研究[J].地理科学进展,2007,26(1):26-32.]

[11]Yang Jia,Guo Ni,Jia Jianhua.Comparison between MODIS-NDVI and MODIS-EVI in Northwest China[J].Arid Meteorology,2007,25(1):38-43.[杨嘉,郭铌,贾建华.西北地区 MODIS-NDVI 与 MODIS-EVI 对比分析[J].干旱气象,2007,25(1):38-43.]

[12]Ye Qi,Zhao Ping,Sun Jing.Comparative Analysis of Vegetation Coverage along the Yangtze River in Anhui Province based on MODIS-NDVI and EVI[J].Resoures and Environment in the Yangtze Basin,2012,21(3):361-368.[叶琦,赵萍,孙静.基于MODIS-NDVI与EVI的皖江流域植被覆盖比较分析[J].长江流域资源与环境,2012,21(3):361-368.]

[13]Tong Liqiang.A Method for Extracting Remote Sensing Information from Rocky Desertification Areas in Southwest China[J].Remote Sensing for Land & Resources,2003,(4):35-38.[童立强.西南岩溶石山地区石漠化信息自动提取技术研究[J].国土资源遥感,2003,(4):35-38.]

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