The invention discloses a method for dynamic threshold method
remote sensing data cloud identification supported by the prior surface reflectance. The method comprises the steps that a, a prior surface reflectance
database is established, national MODIS surface reflectance data are collected, and synthesis is conducted through a minimum value synthesis technology so that an MODIS high-accuracy surface reflectance
data set can be formed; b, a dynamic threshold detection model is established on the basis of a 6S
radiation transfer model, a change tendency of the apparent reflectance of the visible light and near-
infrared band surface reflectance is simulated through the 6S
radiation transfer model under different
atmosphere and observation conditions, the minimum value and the maximum value of the change of the apparent reflectance of clear
sky pixels are obtained under all the possible conditions, and a dynamic threshold cloud and cloud shadow detection model is established through nonlinear least square fit; c,
data cloud and cloud shadow detection is conducted according to an HJ star CCD, the established dynamic threshold detection model is used for conducting an
information extraction experiment of cloud identification and a cloud shadow. The method can effectively improve the cloud identification accuracy of
satellite data with fewer wave bands.