Joint Special Issue of the National Science Data Center Zone I Versions ZH2
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250 m resolution dataset of spatiotemporal variations of vegetation in the growing season over the Yellow River Basin (2000–2020)
Dataset URL >>
: 2021 - 07 - 14
: 2021 - 09 - 22
: 2021 - 09 - 22
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Abstract & Keywords
Abstract: The Yellow River Basin (YRB) is a significant ecological barrier region in China and plays a pivotal role in the economic and social development as well as the ecological security. In view of assessing the status of regional ecological restoration and revealing the impacts of climate change and human activities on ecosystems, the spatiotemporal patterns and trends of vegetation dynamics are imperative indicators. Based on the MODIS vegetation index product (MOD13Q1, C6), we generate a dataset of spatiotemporal variations of vegetation NDVI and EVI in the growing season over the YRB from 2000 to 2020, with a resolution of 250 m. The dataset is obtained using approaches including projection, mosaicking, clipping, maximum value composites, non-parametric Theil–Sen estimator and Mann–Kendall significance test, and coefficient of variation. In addition, the dataset contains information on the time series change trends and volatility characteristics of both NDVI and EVI in the YRB during past 21 years. This datasets is expected to provide an important reference for in-depth understanding the past, present, and future evolution of vegetation ecosystem in the YRB under the background of global change.
Keywords: Yellow River Basin; vegetation index; Mann-Kendall test; coefficient of variation; growing season
Dataset Profile
Title250 m resolution dataset of spatiotemporal variations of vegetation in the growing season over the Yellow River Basin (2000–2020)
Data corresponding authorBAI Yan (baiy@lreis.ac.cn)
Data author(s)BAI Yan, YANG Yaping, SUN Jiulin
Time range2000–2020
Geographical scopeYellow River Basin, 32°10′N−41°50′N,95°53′−119°05′E
Spatial resolution250 m
Data volume1.53 GB
Data format.tif
Data service system250 m resolution dataset of spatiotemporal change trends of vegetation in the growing season over the Yellow River Basin (2000–2020), <http://www.geodata.cn/data/datadetails.html?dataguid=36810597463013>; 250 m resolution dataset of spatial volatilities of vegetation in the growing season over the Yellow River Basin (2000–2020), <http://www.geodata.cn/data/datadetails.html?dataguid=17019388673186>.
Source(s) of fundingThe 14th Five-year Informatization Plan of Chinese Academy of Sciences (WX145XQ07-11), China Knowledge Center for Engineering Sciences and Technology (CKCEST-2021-2-10), National Science & Technology Infrastructure of China (2005DKA32300).
Dataset compositionThe dataset consists of 2 subsets, which are recorded as: (1) “Change trends of growth NDVI and EVI in the YRB.zip”, including the results of Theil–Sen trend estimation (named YRB_growthSen_XX.tif, and XX is NDVI or EVI, same below) and Mann–Kendall significance test (named YRB_growthMK_XX.tif) of growth NDVI and EVI, respectively, with a data volume of 1.22 GB; (2) “Volatility characteristics of growth NDVI and EVI in the YRB.zip”, comprising the coefficient of variation (named YRB_growthCV_XX.tif) in growth NDVI and EVI, respectively, with a data volume of 310 MB.
Article and author information
Bai Yan
主要承担工作:技术实施、基础数据处理、植被时空变化特征计算及论文撰写。
baiy@lreis.ac.cn
Yang Yaping
主要承担工作:成果集成与论文修改。
Sun Jiulin
主要承担工作:总体方案设计与技术指导。
Publication records
Released: Sept. 22, 2021 ( VersionsZH2
References
中国科学数据
csdata