Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 567-571, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-567-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 567-571, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-567-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Sep 2017

12 Sep 2017

INTEGRATED QUALITY EVALUATION OF THE IN-SITU NETWORKING MEASUREMENTS AND UPSCALING USING GAUSSIAN PROCESS REGRESSION

G. Yin and A. Li G. Yin and A. Li
  • Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China

Abstract. The flourished development of wireless sensor network technology sheds light to the effective and inexpensive collection of in-situ networking measurements. This will contribute to the temporal validation of coarse resolution remote sensing products. However, the quality evaluation of the in-situ networking measurements and upscaling is still problematic. This study proposed an evaluation method based on Gaussian Process Regression (GPR). Specifically, the qualities of networking measurements and upscaling were evaluated through the relevance of each plot, and the pixelwise coefficient of variation of the scaling results. Both of which can be generated by GPR. The preliminary results demonstrated the potential of the proposed method on quality evaluation of upscaling. Its potential on measurements (per se) quality evaluation will be analysed future.