The invention relates to a stereoscopic supervision and
data mining system and method facing lake blue-
green algae disaster. The method comprises the steps that monitoring index data related to the lake blue-
green algae disaster is obtained through the three ways of
remote sensing monitoring, automatic monitoring and manual patrol inspect, and the obtained data is transmitted to a
data center through
the internet; the
data center conducts data
backup and data preprocessing on the received data, and temporal interpolation, spatial interpolation and abnormal decision
processing are included; the data is transmitted to a
database to be stored after being preprocessed; lake three-dimensional numerical model calculation is conducted according to a
data source stored in the
database, according to numerical model
simulated data, to-be-monitored lake blue-
green algae disaster
risk evaluation is conducted, and lake blue-green
algae disaster forecasting and early warning information is displayed on a public platform. According to the method and
system, real-time stereoscopic monitoring on the blue-green
algae disaster is achieved, collected
data information is fully mined,
data processing and
model simulation are conducted, and blue-green
algae disaster information real-time receiving, rapid and accurate
processing and timely release are achieved.