The changes in pine forest cover can be perfectly monitored through remote sensing and the use of satellite images, which although it is a costly technology, can give us real information about the exact location of pest outbreaks in the pine forest. However, since the satellite's orbit passes through the same point for a long time (temporal resolution), the location of the pest that is monitored by satellite may be detected very late, until the pest has been spread around a greater number of trees, and the control reaction would imply a larger area to intervene.
Therefore, the team from the Geographic Information Systems Lab of the Space Research and Remote Sensing Center (CSRSR), led by Professor Chen, of the National Central University of the Republic of China (Taiwan), through extensive data collection, used more than 14 data variables to analyze the conditions in which there is more susceptibility to the appearance of pine bark beetle outbreaks, of the genus Dendroctonus. These variables, such as temperature, slope, aspect, distance of the road, etc., were analyzed through technology based on algorithms such as the "decision tree" and "random forest". Algorithm, which constructs the probability of occurrence of pests and draws it on the map, called risk susceptibility map of pest outbreaks (with reference to the Pine Bark Beetle of the genus Dendroctonus).
The map is generated in two seasons: dry season and rainy season, according to the climate, and will occur every six months, during the life of this project. It will be provided to the of Health and Sanity Forestry Department of the ICF, as a tool for right decision making, and to the general public as a reference for the greater surveillance of those areas that are at higher risk of attacks by the pest of pine bark beetle.
|0.0-0.2 Very Low|
|0.8-0.1 Very High|
Immediately after the map of susceptibility to the risk of outbreaks of pests has been produced, the files will be delivered in first instance, to the Head of the Forest Health and Health Department of the ICF, and a paper map will be printed for distribution to the 12 regions of the Forest Service. The public can also use the digital version of the risk map to find out if there is a risk of pests in their own municipalities, and even more in their own forest lands.