Trend analysis for evaluating the consistency of Terra MODIS and SPOT VGT NDVI time series products in China
An, Youzhi1,2; Gao, Wei1,2,3; Gao, Zhiqiang3,4; Liu, Chaoshun1,2; Shi, Runhe1,2; Gao, ZQ (reprint author), Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA. [email protected]
发表期刊FRONTIERS OF EARTH SCIENCE
ISSN2095-0195
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
DOI10.1007/s11707-014-0428-9
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
作者部门海岸带信息集成与综合管理实验室
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.; 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.
文章类型Article
资助机构Geology
收录类别SCI
语种英语
关键词[WOS]VEGETATION INDEXES ; LAND DEGRADATION ; AVHRR GIMMS ; PHENOLOGY ; CLIMATE ; AFRICA ; SAHEL
研究领域[WOS]Geology
WOS记录号WOS:000349441200011
引用统计
被引频次:16[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/8590
专题中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
通讯作者Gao, ZQ (reprint author), Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA. [email protected]
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
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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,&Gao, ZQ .(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.
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