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MuSyQ GF-series 16 m/10 days Normalized Difference Vegetation Index product (from 2018 to 2020 across China, version 01)
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: 2021 - 05 - 24
: 2021 - 07 - 15
: 2021 - 07 - 15
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Abstract & Keywords
Abstract: Vegetation index (VI) is one of the most important parameters for vegetation remote sensing research and application. However, there are few standardized regional or global high-resolution VI products available now. Taking advantage of the high spatial and temporal resolution of Gaofen1 WFV sensor, MuSyQ NDVI product of 16m/10days resolution in China from 2018 to 2020 was generated using the vegetation index synthesis algorithm. This product can be used to monitor the canopy structural and phenological characteristics of vegetation in China, analyze the seasonal and interannual changes of biochemical and physicochemical parameters. It can provide reliable data for the analysis of vegetation change, the application of agriculture and forestry, and ecological environment monitoring in China.
Keywords: Normalized Difference Vegetation Index (NDVI) product;  high resolution; China region; Gaofen-1
Dataset Profile
TitleMuSyQ GF-series 16 m/10 days Normalized Difference Vegetation Index product (from 2018 to 2020 across China, version 01)
Data corresponding authorLI Jing (lijing01@radi.ac.cn)
Data authorsLI Songze, LI Jing, YU Wentao, ZHANG Zhaoxing, WU Shanlong, ZHONG Bo, LIU Qinhuo
Time range2018 – 2020
Geographical scopeChina
Spatial resolution16 m
Data volumeAbout 9 TB
Data format*.h5
Data service system<http://www.doi.org/10.11922/sciencedb.j00001.00262>
Source(s) of fundingNational Key Research and Development Program (2018YFA0605503); GF Project (21-Y20B02-9003-19/22).
Dataset compositionThis data includes 3 years’ NDVI vegetation index data in China from 2018 to 2020. Each *h5 consist of 2 subfiles: (1) NDVI data; (2) NDVI quality control data.
Article and author information
Songze Li
主要承担工作:16米/10天植被指数产品验证研究,产品生产,论文撰写。
Jing Li
主要承担工作:研究思路及方案设计,论文撰写指导。
lijing01@radi.ac.cn
Wentao Yu
主要承担工作:数据汇集和整理,植被指数产品算法研究。
Zhaoxing Zhang
主要承担工作:基础数据的收集,数据预处理,产品算法实现,产品发布。
Shanlong Wu
Bo Zhong
Qinhuo Liu
Publication records
Released: July 15, 2021 ( VersionsZH2
References
中国科学数据
csdata