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MuSyQ GF-series 16m/10days leaf area index product (from 2018 to 2020 across China, version 01)
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: 2021 - 05 - 24
: 2021 - 07 - 14
: 2021 - 07 - 14
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Abstract & Keywords
Abstract:  Leaf area index, LAI, is a critical variable to study the structure and function of the vegetation ecosystem. However, there is no standard high-resolution LAI product worldwide. Taking advantage of the high spatial and temporal resolution of Gaofen1, MuSyQ GF-series leaf area index product of 16 m/10 days resolution across China from 2018 to 2020 (version 01) was generated using the three-dimensional radiative transfer model. This product can provide reliable data for the analysis of vegetation change, the application of agriculture and forestry, and ecological environment monitoring in China.
Keywords: Leaf area index (LAI) product; high resolution; China region; Gaofen-1
Dataset Profile
TitleMuSyQ GF-series 16 m/10 days leaf area index product in (from 2018 to 2020 over China version 01)
Data corresponding authorLI Jing (lijing01@radi.ac.cn)
Data authorsZHANG Hu, LI Jing, ZHANG Zhaoxing, WU Shanlong, ZHONG Bo, LIU Qinhuo
Time range2018 – 2020
Geographical scopeChina
Spatial resolution16 m
Time resolution10 days
Data volume1.55 TB
Data format*.h5
Data service system<http://www.doi.org/10.11922/sciencedb.j00001.00252>
Sources of fundingNational Key Research and Development Program (2018YFA0605503); GF Project (21-Y20B02-9003-19/22).
Dataset compositionThe product consists of 2 subsets in total. Subset 1 is made up of the leaf area index image, and Subset 2 is made up of the quality control information of each pixel.
Article and author information
Hu Zhang
主要承担工作:MuSyQ高分叶面积指数产品算法及验证研究、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
Zhaoxing Zhang
主要承担工作:数据预处理、产品算法实现、发布产品。
Shanlong Wu
主要承担工作:数据处理、产品生产。
Bo Zhong
主要承担工作:数据处理、产品生产。
Qinhuo Liu
主要承担工作:项目推广、研究方案设计。
Publication records
Released: July 14, 2021 ( VersionsZH3
References
中国科学数据
csdata