The invention relates to the technical field of multi-source
remote sensing data processing, and discloses a tea whole-process digital early warning and block chain responsibility tracing method, which comprises the following steps: firstly, constructing a terrace planting micro-unit distribution map, and analyzing terrace
landform repeated spacing; then acquiring multi-source heterogeneous
sensing data, determining a comprehensive spatial resolution and a comprehensive time acquisition interval, and calculating a space-time sampling
aliasing index according to the comprehensive spatial resolution and the comprehensive time acquisition interval; and generating a monitoring reliability
attenuation factor by using the index, and recovering the anti-
aliasing signal by using the monitoring reliability
attenuation factor as a
regular constraint to obtain a reliability correction risk value. The early warning event is generated according to the corrected risk value, the responsibility
traceability allocation weight is calculated by using the monitoring reliability
attenuation factor, and finally the early warning event, the responsibility weight and the
recovery parameter are stored in the block
chain system. According to the method, the problem of observation
distortion of the mountain
tea garden caused by cloud and mist shielding and
terrain breakage is effectively solved, and the accuracy and credibility of risk early warning and responsibility determination are ensured.