2026-10-12T00:32:57Z https://www.scidb.cn/oai

10.57760/sciencedb.16673 2025-01-26T16:37:17Z

2025-01-26 A dataset of 30 m/10-day spatio-temporal continuous leaf chlorophyll content of MuSyQ GF-series (2021-2022, China) doi:10.57760/sciencedb.16673 en The leaf chlorophyll content (LCC) reflects the information of solar radiation necessary for vegetation photosynthesis, making it an important parameter for monitoring ecosystem physiology and ecology. High-precision, spatiotemporally continuous LCC products are foundational for accurate carbon cycle modeling on global and regional scales. Currently, international global LCC products have spatial resolutions at the hectometer level, which are insufficient to meet the growing demand for fine-scale detection. The existing MuSyQ LCC (v01) product offers a spatial resolution of 30 meters; however, its values are affected by clouds and rainfall, resulting in spatiotemporal discontinuities that limit its effective use in high-resolution applications. This study uses the Sentinel-2 MSI data, based on the chlorophyll-sensitive index (CSI) and the Harmonic Analysis of Time Series (HANTS) method, to produce a standardized, spatiotemporally continuous LCC product for China at 30 m/10-day resolution from 2021 to 2022 as part of the MuSyQ high-resolution series. This product effectively addresses the spatiotemporal discontinuity issues in the MuSyQ LCC (v01) product and will play a crucial role in vegetation dynamics analysis, agricultural management, and other fields. leaf chlorophyll content (Chlleaf) product; high resolution; China region; spatio-temporal continuous Guan Li Zhang Hu Li Jing Gu Chenpeng Wang Xiaohan Xiao Xiangyu Liu Qinhuo Zhou Qiao Wu Wangzehao PUBLIC dataset Science Data Bank