A dataset of 30 m/10-day spatio-temporal continuous leaf chlorophyll content of MuSyQ GF-series (2022, China)

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 in 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.

叶片叶绿素含量（Leaf Chlorophyll Content, LCC）可反映植被光合作用所需的太阳辐射信息，是监测生态系统生理与生态状态的关键参数。高精度且时空连续的LCC产品是全球及区域尺度精准碳循环模拟的核心基础。当前国际现有全球LCC产品的空间分辨率仅达百米级，难以满足日益增长的精细化监测需求。现有MuSyQ LCC（v01）产品虽可提供30米空间分辨率，但其反演结果易受云层与降雨干扰，存在时空不连续性问题，限制了其在高分辨率应用场景中的有效使用。本研究以哨兵2号多光谱仪器（Sentinel-2 MSI）数据为数据源，基于叶绿素敏感指数（chlorophyll-sensitive index, CSI）与时间序列谐波分析法（Harmonic Analysis of Time Series, HANTS），生成了2022年中国区域范围内、分辨率为30米、时间步长为10天的标准化时空连续LCC产品，该产品隶属于MuSyQ高分辨率产品系列。本产品有效解决了MuSyQ LCC（v01）产品的时空不连续性缺陷，将在植被动态分析、农业管理等领域发挥关键作用。