Vegetation management system and vegetation management method

A vegetation management method by a vegetation management system that analyzes, with use of remote sensing data obtained by photographing a facility and a vegetation to be analyzed by remote sensing, a contact of the vegetation with respect to the facility, the vegetation management method comprising:

• a data acquisition step of acquiring input data including at least the remote sensing data, geographical data of the facility, and environmental data relating to a growth of the vegetation;
• a vegetation classification step of classifying the vegetation photographed in the remote sensing data into a type of vegetation, from among a plurality of types of vegetation, based on a spectral library of different types of vegetation;
• a wide-area growth prediction step of predicting a time-series change of a growth range of the vegetation photographed in the remote sensing data;
• a vegetation amount simulation step of predicting, by a simulation, a fluctuation in a growth amount of each vegetation classified in the vegetation classification step;
• a three-dimensional construction step of constructing a three-dimensional model expressing the facility and the vegetation on basis of the remote sensing data and the geographical data;
• and
• a risk determination step of determining a contact risk indicating a contact possibility between the facility and the vegetation on basis of a processing result obtained in the wide-area growth prediction step, the vegetation amount simulation step, and the three-dimensional construction step.

A method comprising using at least one computer processor to:

• acquire input data that include at least remote sensing data, geographical data of a facility, and environmental data relating to a growth of vegetation, the remote sensing data obtained by photographing the facility and the vegetation;
• classify the vegetation photographed in the remote sensing data into a type of vegetation, from among a plurality of types of vegetation, based on a spectral library of different types of vegetation;
• predict a time-series change of a growth range of the vegetation photographed in the remote sensing data;
• predict, by a simulation, a fluctuation in a growth amount of the classified vegetation;
• construct a three-dimensional model that expresses the facility and the vegetation based on the remote sensing data and the geographical data;
• and
• determine a contact risk, indicating a contact possibility between the facility and the vegetation, based on the predicted time-series change of the growth rate of the vegetation, the predicted fluctuation in the growth amount of the classified vegetation, and the constructed three-dimensional model.