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 |
ISSN | 2095-0195 |
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 |
DOI | 10.1007/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 | |
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 |
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,&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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Trend analysis for e(3692KB) | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论