MuSyQ GF-series 16m/10days fractional vegetation cover product (from 2018 to 2020 across China version 01)

Fractional vegetation cover (FVC) is one of the important indicators to monitor the vegetation conditions on earth. Remote sensing is a main way to obtain the dynamic FVC at large scale. However, there is no standard high-resolution FVC product worldwide. Taking advantage of the high spatial and temporal resolution of Gaofen-1, MuSyQ GF-series FVC product with 16m/10days resolution in China from 2018 to 2020 (version 01) was produced using the gap probability theory for forest type and the dimidiate pixel model based on normalized difference vegetation index (NDVI) for other vegetation types. This product can provide reliable data for vegetation monitoring in China.

植被覆盖度（Fractional vegetation cover, FVC）是监测地表植被状况的重要指标之一。遥感是获取大尺度动态FVC的主流手段。然而，当前全球范围内尚无标准化的高分辨率FVC产品。研究团队依托高分一号（Gaofen-1）优异的时空分辨率特性，针对森林植被类型采用间隙概率理论，针对其他植被类型采用基于归一化差异植被指数（Normalized Difference Vegetation Index, NDVI）的像元二分模型，生产了2018至2020年中国区域分辨率为16米/10天的MuSyQ高分系列FVC产品（版本01）。该产品可为我国植被监测提供可靠的数据支撑。

搜集汇总

背景与挑战

背景概述

该数据集是MuSyQ高分系列植被覆盖度产品，覆盖中国地区2018年至2020年，提供16米空间分辨率和10天时间合成的植被覆盖度数据。它利用高分一号卫星数据，结合间隙概率理论和像元二分模型生成，旨在为中国的植被监测提供可靠的高分辨率标准产品。