Dynamic adaptive distributed cooperative work method for remote sensing big data

The invention discloses a remote sensing big data-oriented dynamic self-adaptive distributed cooperative working method, which comprises the following steps of: acquiring and processing a working topology of each distributed node and a remote sensing data category in a remote sensing big data distributed system, and monitoring multi-category remote sensing data in real time to obtain a dynamic time sequence of the multi-category remote sensing data; carrying out change measurement and calculation between any multi-class remote sensing data at the next time sequence in the dynamic time sequence of the multi-class remote sensing data and the corresponding multi-class remote sensing data at the previous time sequence to obtain the dynamic quantity of the multi-class remote sensing data at the next time sequence; and carrying out topology updating on the multi-category remote sensing data dynamic quantity at the next time sequence according to the working topology to obtain a dynamic working topology at the next