MuSyQ Global Leaf Chlorophyll Content product with 100m/10 days resolution(2023)

Leaf chlorophyll content (LCC) indicates the photosynthetic capacity of green vegetation, which is one of the most important biochemical parameters for ecosystem monitoring. Remote sensing is the only tool for obtaining global-scale LCC information. Over the past five years, researchers have produced several global LCC products. However, the spatial resolutions of existing products range from 300m to 500m, which is insufficient for detailed monitoring needs. This dataset utilizes the Chlorophyll Sensitive Index (CSI) to produce a global LCC product with a 100m/10 days resolution in 2023, based on vegetation type-specific empirical relationships using Sentinel-2 data. Existing research results show that this algorithm demonstrates high accuracy, efficiency, and stability in estimating LCC, making it suitable for the production of global LCC products, and it has the potential to generate higher-resolution global LCC products.

叶片叶绿素含量（Leaf Chlorophyll Content，LCC）可表征绿色植被的光合能力，是生态系统监测领域至关重要的生物化学参数之一。遥感技术是获取全球尺度LCC信息的唯一可行手段。近五年来，学界已推出多款全球LCC产品。但现有产品的空间分辨率仅为300米至500米，难以满足精细化监测的实际需求。本数据集基于哨兵二号（Sentinel-2）卫星数据，结合植被类型特异性经验关联关系，采用叶绿素敏感指数（Chlorophyll Sensitive Index，CSI），生成了2023年分辨率为100米/10天的全球LCC产品。现有研究成果表明，该算法在LCC估算任务中展现出高精度、高效率与高稳定性的优势，适配全球LCC产品的生产需求，且具备生成更高分辨率全球LCC产品的潜力。

搜集汇总

背景与挑战

背景概述

该数据集是一个2023年全球叶片叶绿素含量产品，采用Chlorophyll Sensitive Index (CSI)算法和Sentinel-2数据，提供100米/10天的高分辨率数据，适用于生态系统监测和植被生化参数研究。