Multi-Scale Validation and Uncertainty Analysis of GEOV3 and MuSyQ FVC Products: A Case Study of an Alpine Grassland Ecosystem

文献类型： 外文期刊

第一作者： Chen, Jianjun

作者： Chen, Jianjun;Huang, Renjie;Yang, Yanping;Feng, Zihao;You, Haotian;Han, Xiaowen;Zhou, Guoqing;Chen, Jianjun;You, Haotian;Han, Xiaowen;Zhou, Guoqing;Yi, Shuhua;Qin, Yu;Wang, Zhiwei;Wang, Zhiwei

作者机构：

关键词： fractional vegetation cover (FVC); GEOV3 and MuSyQ; direct validation; multi-scale validation; alpine grassland ecosystem; heterogeneity of the underlying surface (HUS)

期刊名称：REMOTE SENSING （ 影响因子：5.349； 五年影响因子：5.786 ）

ISSN：

年卷期： 2022 年 14 卷 22 期

页码：

收录情况： SCI

摘要： Fractional vegetation cover (FVC) products provide essential data support for ecological environmental monitoring and simulation studies. However, the lack of validation efforts of FVC products limits their applications. Based on Sentinel-2 data and intensive multi-scale measured FVC data, the accuracies of two FVC products (GEOV3 and MuSyQ) in alpine grassland ecosystems were validated through direct validation and multi-scale validation. Based on the heterogeneity of the underlying surface (HUS) of the monitoring plots, the impact of the HUS of the monitoring plots on the product validation was analyzed. The results showed that: (1) the measured data directly validated that the GEOV3 FVC product performed better than the MuSyQ FVC product; (2) the multi-scale validation method based on high-resolution reference FVC map of Sentienl-2 satellite images validated the accuracy of these two FVC products, which was higher than the accuracy directly validated by FVC measured data, leading to overestimation of the validation results; and (3) the HUS of the monitored plots has a significant impact on the FVC product validation. By quantifying the HUS of the monitored plots and removing the heterogeneous monitoring plots, the uncertainty of the validation results can be reduced. It is necessary to consider the impact of validation methods and the HUS on the validation results in future product validation.

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