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

文献类型: 会议论文

第一作者: Jing Li

作者: Jing Li 1 ; Li Ni 2 ; Zhao-Liang Li 3 ; Yong-Gang Qian 4 ; Hua Wu 1 ;

作者机构: 1.State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

2.Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

3.Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences

4.Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences

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

会议名称: IEEE International Geoscience and Remote Sensing Symposium

主办单位:

页码: 3440-3443

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.

分类号: TP7-53

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