TECHNIQUE FOR PROCESSING DATA OF EARTH REMOTE SENSING WITH THE USE OF INFORMATION TECHNOLOGIES AND ALLOMETRIC CORRELATIONS FOR DEFINITION OF FOREST STANDS INDICATORS
This article discusses the technique for determining the main forest characteristics of stands, such as a stock, average diameter and height of the stand based on the data of remote sensing and allometric rules using software. Modern technologies of geospatial data processing allow using images of ultrahigh and high spatial resolution for analysis of woody vegetation. The data obtained from the research on the density of forest plantations make it possible to obtain data on the characteristics of the analyzed stand on the basis of widely known allometric regularities. One of the approaches to solving this problem is the application of a number of technologies with the use of computer processing of images obtained from both unmanned aerial vehicles and images of open cartographic services. The basis for determining the number of trees in the picture is the technology of pattern recognition using the base of the prepared standards, using logic iterate and mapping the pixels of the analyzed area with the basis of reference samples. At present, one of the problems of forestry is the lack of reliable and comprehensive information about forests. In addition, a large part of forest resources of the country located in hardly accessible areas, which is pushing to find new methods and ways of obtaining relevant information about the forest resources. One way of obtaining data on forests is a method of updating data of previous forest inventory which does not take into account changes occurring in the territory of the forest fund. Another way is using visual and measuring inventory, the results of which are doubtless more precisely, however, it requires a lot of labour input and expensive data collection process. The proposed technique can be an alternative way for solving this problem.