中国-东盟1km5天分辨率FVC数据集（2016-2019）

植被覆盖度（Fractional Vegetation Cover，FVC）定义为植被冠层或叶面在地面的垂直投影面积占植被区总面积的比例，是刻画地表植被覆盖程度的一个重要参数，也是指示生态环境变化的重要指标之一。利用项目组共性产品NDVI数据集，基于不同气候类型、不同土地和植被类型的归一化植被指数（Normalized Difference Vegetation Index，NDVI）到FVC转换系数，采用像元二分模型生产2016-2019年中国-东盟1km/5天的FVC产品。基于SPOT VEGETATION生成的GEOV1 FCOVER产品对本数据集进行对比分析，产品在时空连续性方面优于GEOV1 FCOVER产品。利用甘肃黑河流域地面观测数据进行直接验证，反演结果与地面实测数据一致性好。该数据集采用Sinusoidal Tile Grid分幅，每景覆盖的经纬度范围为10°x10°，该数据集存储为*.tif 格式。Fractional Vegetation Cover (FVC) is defined as the ratio of the vertical projected area of vegetation canopy or foliage on the ground to the total area of vegetation-covered regions. It is an important parameter for characterizing the degree of surface vegetation coverage, and one of the key indicators for indicating ecological environment changes. Using the NDVI dataset from the project team's shared product, and based on the conversion coefficients between Normalized Difference Vegetation Index (NDVI) and FVC for different climate types, land types and vegetation types, this study produced the 1km/5-day FVC product of the China-ASEAN region from 2016 to 2019 via the dimidiate pixel model. This dataset was comparatively analyzed against the GEOV1 FCOVER product generated by SPOT VEGETATION, and it outperforms the GEOV1 FCOVER product in terms of spatiotemporal continuity. Direct validation was conducted using ground observation data from the Heihe River Basin in Gansu Province, and the inversion results show good consistency with the in-situ measured data. This dataset adopts the Sinusoidal Tile Grid tiling scheme, with each tile covering a 10°×10° latitude-longitude range, and is stored in *.tif format.

搜集汇总

背景与挑战

背景概述

该数据集是2016-2019年中国与东盟地区的1公里空间分辨率、5天时间分辨率的植被覆盖度（FVC）产品，基于NDVI转换系数和像素二分模型生成，以栅格数据（*.tif格式）存储。数据集通过对比验证显示优于GEOV1 FCOVER产品的时空连续性，并利用地面观测数据确保准确性，适用于生态环境监测和遥感分析研究。