AN OPTIMAL SAMPLING DESIGN FOR LAND SURFACE TEMPERATURE VALIDATION WITH SPATIAL AND DIURNAL VARIATIONS

文献类型： 外文期刊

第一作者： Li, Jing

作者： Li, Jing;Wu, Hua;Li, Jing;Wu, Hua;Ni, Li;Li, Zhao-Liang;Qian, Yong-Gang

作者机构：

关键词： Land surface temperature; Validation; Sampling strategy; Diurnal temperature cycle; spatial heterogeneity

期刊名称：2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)

ISSN： 2153-6996

年卷期： 2019 年

页码：

收录情况： SCI

摘要： The development of ground-based sampling strategies is vital to the validation of medium- or coarse-resolution satellite-derived land surface temperature (LST) products, extremely over heterogeneous ground with dramatic diurnal LST change. An optimal sampling strategy in support of LST validation across both spatial and diurnal scales (SDS) was proposed in this study. The SDS integrated prior knowledge of land-cover, multi-temporal feature information and spatial distribution of samples to improve the representativeness of the samples. The SDS were also compared with three sampling strategies including random, systematic, and land-cover base sampling. The results obtained by the remote sensing simulation data indicated that the SDS performed best with stable root mean square errors (RMSE) less than 0.1k when sample ratio was more than 2%, and the representativeness of samples selected by the SDS in both diurnal space and spatial space was superior to the current sampling strategies.

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