Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2013, Vol. 28 Issue (2): 290-299    DOI: 10.11873/j.issn.1004-0323.2013.2.290
    
Comparison of GIMMS,VGT and MODIS Vegetation Index Datasets in Eastern China
Hou Meiting1,Zhao Haiyan2,Wang Zheng3,Yan Xiaodong4,5
(1.China Meteorological Administration Training Centre,Beijing 100081,China;
2.Shanxi Climate Center,Taiyuan 030006,China;3.Technology and Engineering Center for
Space Utilization,Chinese Academy of Sciences,Beijing 100094,China;4.Key Laboratory of Regional
Climate-Environment Research for Temperate East Asia,Institute of Atmospheric Physics,Chinese
Academy of Sciences,Beijing 100029,China;5.Beijing Normal University,Beijing 100875,China)
Download:  PDF (1462KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

Remote sensing data sets from GIMMS NDVI,VGT NDVI and MODIS NDVI/EVI have been widely used in the studies related to vegetation change.Many previous studies have evaluated the consistency among these different data sets.However,less attention has been paid to study of the influence of seasonal cycle of vegetation,which probably amplifies the relationships among different data sets.Interannual variability of vegetation and the influence of the seasonality of vegetation on the consistency of different remotely sensed datasets had been investigated using GIMMS NDVI,VGT NDVI and MODIS NDVI/EVI products in eastern China from the period 2000 to 2006.The results indicate that all of these datasets show similar trends of the interannual variability of vegetation,whereas,the seasonality of the vegetation data overshadows the difference of different remote sensing data sources.The vegetation indices derived from GIMMS,VGT and MODIS show significant correlation before removing the seasonality,while the relationships among them decrease obviously after removing the seasonality.In general,the consistency of GIMMS,VGT and MODIS still remains in the northern part of eastern China.The differences among them mainly occur in the southern part.In particular,the most rapid decrease of correlation occurs between GIMMS and MODIS.The correlation between them has not been observed in large parts of the region located south of the Huai River.

Key words:  Vegetation index      Interannual variability      Seasonality      Correlation     
Received:  09 January 2012      Published:  24 June 2013
TP 79  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Hou Meiting
Zhao Haiyan
Wang Zheng
Yan Xiaodong

Cite this article: 

Hou Meiting,Zhao Haiyan,Wang Zheng,Yan Xiaodong. Comparison of GIMMS,VGT and MODIS Vegetation Index Datasets in Eastern China. Remote Sensing Technology and Application, 2013, 28(2): 290-299.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2013.2.290     OR     http://www.rsta.ac.cn/EN/Y2013/V28/I2/290

[1]Julien Y,Sobrino J A.The Yearly Land Cover Dynamics (YLCD) Method:An Analysis of Global Vegetation from NDVI and LST Parameters[J].Remote Sensing of Environment,2009,113(2):329-334.

[2]Steven M D,Malthus T J,Baret F,et al.Intercalibration of Vegetation Indices from Different Sensor Systems[J].Remote Sensing of Environment,2003,88(4):412-422.

[3]Fensholt R,Rasmussen K,Nielsen T T,et al.Evaluation of Earth Observation based Long Term Vegetation Trends-Intercomparing NDVI Time Series Trend Analysis Consistency of Sahel from AVHRR GIMMS,Terra MODIS and SPOT VGT Data[J].Remote Sensing of Environment,2009,113(9):1886-1898.

[4]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(1-2):195-213.

[5]Justice C,Belward A S,Morisette J,et al.Developments in the “Validation” of Satellite Sensor Products for the Study of the Land Surface[J].International Journal of Remote Sensing,2000,21(17):3383-3390.

[6]Maisongrande P,Duchemin B,Dedieu G.Vegetation/SPOT:An Operational Mission for the Earth Monitoring:Presentation of New Standard Products[J].International Journal of Remote Sensing,2004,25(1):9-14.

[7]Tarnavsky E,Garrigues S,Brown M E.Multiscale Geostatistical Analysis of AVHRR,SPOT-VGT,and MODIS Global NDVI Products[J].Remote Sensing of Environment,2008,112(2):535-549.

[8]Wen Gang,Fu Congbin.Large Scale Features of the Seasonal Phenological Responses to the Monsoon Climate in East China:Multi-year Average Results[J].Chinese Journal of Atmospheric Sciences,2000,24(5):676-682.[温刚,符淙斌.中国东部季风区植被物候季节变化对气候响应的大尺度特征:多年平均结果[J].大气科学,2000,24(5):676-682.]

[9]Piao S L,Fang J Y,Zhou L M,et al.Interannual Variations of Monthly and Seasonal Normalized Difference Vegetation Index (NDVI) in China from 1982 to 1999[J].Journal of Geophysical Research,2003,108(D14),4401.Doi:10.1029/2002JD002848.

[10]Xia Lu,Liu Yongmei,Ke Changqing.Study on the Dynamic Changes of Vegetation in the Loess Plateau based on Data from SPOT4[J].Remote Sensing Technology and Application,2008,23(1):67-71.[夏露,刘咏梅,柯长青.基于SPOT4数据的黄土高原植被动态变化研究[J].遥感技术与应用,2008,23(1):67-71.]

[11]Cui Linli,Shi Jun,Yang Yinming,et al.Ten-day Response of Vegetation NDVI to the Variations of Temperature and Precipitation in Eastern China[J].Acta Geographica Sinica,2009,64(7):850-860.[崔林丽,史军,杨引明,等.中国东部植被NDVI对气温和降水的旬响应特征[J].地理学报,2009,64(7):850-860.]

[12]Yan Xiaoyu,Dong Wenjie,He Yong.Analysis of the Suitability from Different Remote Sensing Data on the Monitoring of Vegetation Change in Ruoergai Marsh[J].Remote Sensing Technology and Application,2008,23(3):300-304.[严晓瑜,董文杰,何勇.不同传感器数据在若尔盖湿地植被变化监测应用中的适宜性分析[J].遥感技术与应用,2008,23(3):300-304.]

[13]Song Y,Ma M G,Frank V.Comparison and Conversion of AVHRR GIMMS and SPOT VEGETATION NDVI Data in China[J].International Journal of Remote Sensing,2010,31(9):2377-2392.

[14]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.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.]

[15]Chatfield C.The Analysis of Time Series:An Introduction[M].Boca Raton,FL:CRC Press,2004.

[16]Ma M,Frank V.Interannual Variability of Vegetation Cover in the Chinese Heihe River Basin and Its Relation to Meteorological Parameters[J].International Journal of Remote Sensing,2006,27(16):3473-3486.

[17]Tan P N,Steinbach M,Kumar V,et al.Finding Spatio-termporal Patterns in Earth Science Data[C]//KDD Temporal Data Mining Workshop,San Francisco,California,USA,2001.

[18]Pennington D D,Collins S L.Response of an Arid Land Ecosystem to Interannual Climate Variability and Prolonged Drought[J].Landscape Ecology,2007,22(6):897-910.

[19]Anderson L O,Malhi Y,Arag o L E O C,et al.Remote Sensing Detection of Droughts in Amazonian Forest Canopies[J].New Phytologist,2010,187(3):733-750.

[20]Fensholt R,Rasmussen K.Analysis of Trends in the Sahelian “Rain-use Efficiency” Using GIMMS NDVI,RFE and GPCP Rainfall Data[J].Remote Sensing of Environment,2011,115(2):438-451.

[21]Weiss E,Marsh S E,Pfirman E S.Application of NOAA-AVHRR NDVI Time-series Data to Assess Changes in Saudi Arabia’s Rangelands[J].International Journal of Remote Sensing,2001,22(6):1005-1027.

[22]Brown M E,Pinzon J E,Didan K,et al.Evaluation of the Consistency of Long-term NDVI Time Series Derived from AVHRR,SPOT-Vegetation,SeaWiFS,MODIS and LandSAT ETM+ Sensors[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(7):1787-1793.

[23]Liu J,Tian H,Liu M,et al.China’s Changing Landscape during the 1990s:Large-scale Land Transformations Estimated with Satellite Data[J].Geophysical Research Letters,2005,32:L02405.Doi:10.1029/2004GL021649.

[24]Acker J G,Leptoukh G.Online Analysis Enhances Use of NASA Earth Science Data[N].Eos,Transactions,American Geophysical Union,2007,88(2):14.Doi:10.1029/2007EO 020003.

[25]Song Fuqiang,Kang Muyi,Yang Peng,et al.Comparison and Validation of GIMMS,SPOT-VGT and MODIS Global NDVI Products in the Loess Plateau of Northern Shaanxi Province,Northwestern China[J].Journal of Beijing Forestry University,2010,32(4):72-80.[宋富强,康慕谊,杨朋,等.陕北地区GIMMS、SPOT-VGT和MODIS归一化植被指数的差异分析[J].北京林业大学学报,2010,32(4):72-80.]

[26]Pettorelli N,Vik J O,Mysterud A,et al.Using the Satellite-derived NDVI to Assess Ecolsssogical Responses to Environmental Change[J].Trends in Ecology and Evolution,2005,20(9):503-510.

No Suggested Reading articles found!