Zhang, X. and Peng, Y., 2020. Evaluation of remote sensing data quality under emergency conditions. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 915–919. Coconut Creek (Florida), ISSN 0749-0208.

This paper studies the quality evaluation of the fast-view data of Gaofen-1 satellite image. Ten quick-view image quality evaluation indexes are determined, including cloudiness, mean, variance, contrast, information entropy, second moment, homogeneity, correlation, definition and signal-to-noise ratio. The specific values of each quality evaluation index of the experimental image are obtained through calculation, and the quality of each image is evaluated. The experiment shows that the image 5 has more information, higher image quality and stronger usability, which are consistent with the visual interpretation results. It is confirmed that the emergency situation assessment results can be obtained in a timely and effective manner by using fast-tracking data, thus reserving time for making emergency early warning.

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