Tree species identification and health assessment of forest sample plots based on UAV hyperspectral remote sensing technology

Abstract

Abstract National forest resource information is an important part of national basic information in many countries, sample plot survey is the main means to obtain this information. With the progress of science and technology and social development, the demand for cost saving and scientific and technological innovation has led to the wide application of UAV remote sensing in forest resource survey. This study introduced the practice of UAV hyperspectral remote sensing survey in Yicheng, Hubei Province, described in detail how to realize tree species identification and health assessment in forest sample plots by means of unmanned aerial vehicles. The results showed that the classification results of tree species identification method based on UAV hyperspectral remote sensing technology had high accuracy, and the results of the tree health assessment method used had certain reliability. This method greatly improved the safety of work in hazardous areas and reduced the cost.