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Trend analysis for evaluating the consistency of Terra MODIS and SPOT VGT NDVI time series products in China

文献类型：期刊论文

作者An, Youzhi1,2; Gao, Wei1,2,3; Gao, Zhiqiang3,4; Liu, Chaoshun1,2; Shi, Runhe1,2
刊名FRONTIERS OF EARTH SCIENCE
出版日期2015-03-01
卷号9期号:1页码:125-136
关键词Terra MODIS NDVI SPOT VGT NDVI trend analysis correlation analysis
ISSN号2095-0195
产权排序[An, Youzhi; Gao, Wei; Liu, Chaoshun; Shi, Runhe] E China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Joint Lab Environm Remote Sensing & Data Assimila, Shanghai 200062, Peoples R China; [An, Youzhi; Gao, Wei; Liu, Chaoshun; Shi, Runhe] Chinese Acad Sci, CEODE, Shanghai 200062, Peoples R China; [Gao, Wei; Gao, Zhiqiang] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA; [Gao, Zhiqiang] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
通讯作者Gao, ZQ (reprint author), Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA. gaoland@gmail.com
中文摘要The Normalized Difference Vegetation Index (NDVI) is an important vegetation greenness indicator. Compared to the AVHRR GIMMS NDVI data, the availability of two datasets with 1 km spatial resolution, i.e., Terra MODIS (MOD13A3) monthly composite and SPOT Vegetation (VGT) 10-day composite NDVI, extends the application dimensions at spatial and temporal scales. An overlapping period of 12 years between the datasets now makes it possible to investigate the consistency of the two datasets. Linear regression trend analysis was performed to compare the two datasets in this study. The results show greater consistency in regression slopes in the semi-arid regions of northern China. Alternatively, the results show only slight changes in the Terra MODIS NDVI regression slope in most areas of southern China whereas the SPOT VGT NDVI shows positive changes over a large area. The corresponding regression slope values between Terra MODIS and SPOT VGT NDVI datasets from the linear fit had a fair agreement in the spatial dimension. However, larger positive and negative differences were observed at the junction of the three regions (East China, Central China, and North China). These differences can be partially explained by the positive standard deviation differences distributed over a large area at the junction of these three regions. This study demonstrated that Terra MODIS and SPOT VGT NDVI have a relatively robust basis for characterizing vegetation changes in annual NDVI in most of the semi-arid and arid regions in northern China.
英文摘要The Normalized Difference Vegetation Index (NDVI) is an important vegetation greenness indicator. Compared to the AVHRR GIMMS NDVI data, the availability of two datasets with 1 km spatial resolution, i.e., Terra MODIS (MOD13A3) monthly composite and SPOT Vegetation (VGT) 10-day composite NDVI, extends the application dimensions at spatial and temporal scales. An overlapping period of 12 years between the datasets now makes it possible to investigate the consistency of the two datasets. Linear regression trend analysis was performed to compare the two datasets in this study. The results show greater consistency in regression slopes in the semi-arid regions of northern China. Alternatively, the results show only slight changes in the Terra MODIS NDVI regression slope in most areas of southern China whereas the SPOT VGT NDVI shows positive changes over a large area. The corresponding regression slope values between Terra MODIS and SPOT VGT NDVI datasets from the linear fit had a fair agreement in the spatial dimension. However, larger positive and negative differences were observed at the junction of the three regions (East China, Central China, and North China). These differences can be partially explained by the positive standard deviation differences distributed over a large area at the junction of these three regions. This study demonstrated that Terra MODIS and SPOT VGT NDVI have a relatively robust basis for characterizing vegetation changes in annual NDVI in most of the semi-arid and arid regions in northern China.
学科主题Geosciences, Multidisciplinary
研究领域[WOS]Geology
关键词[WOS]VEGETATION INDEXES ; LAND DEGRADATION ; AVHRR GIMMS ; PHENOLOGY ; CLIMATE ; AFRICA ; SAHEL
收录类别SCI
语种英语
WOS记录号WOS:000349441200011
源URL[http://ir.yic.ac.cn/handle/133337/8590]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
作者单位1.E China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Joint Lab Environm Remote Sensing & Data Assimila, Shanghai 200062, Peoples R China
2.Chinese Acad Sci, CEODE, Shanghai 200062, Peoples R China
3.Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714		 An, Youzhi,Gao, Wei,Gao, Zhiqiang,et al. Trend analysis for evaluating the consistency of Terra MODIS and SPOT VGT NDVI time series products in China[J]. FRONTIERS OF EARTH SCIENCE,2015,9(1):125-136.
APA An, Youzhi,Gao, Wei,Gao, Zhiqiang,Liu, Chaoshun,&Shi, Runhe.(2015).Trend analysis for evaluating the consistency of Terra MODIS and SPOT VGT NDVI time series products in China.FRONTIERS OF EARTH SCIENCE,9(1),125-136.
MLA An, Youzhi,et al."Trend analysis for evaluating the consistency of Terra MODIS and SPOT VGT NDVI time series products in China".FRONTIERS OF EARTH SCIENCE 9.1(2015):125-136.

入库方式： OAI收割

来源：烟台海岸带研究所

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