Vegetation information extraction in karst area based on UAV remote sensing in visible light band

Abstract

Karst areas, with their rich species and unique ecological environment, have attracted the attention of many researchers. The unique landscape has brought a wealth of species and great difficulties for research. Karst areas have complex landforms and numerous karst caves, which not only bring a lot of manpower and time investment to the research, but also increase the risk of the research. Therefore, the common field research method is not suitable for karst areas. To solve this problem, this paper adopts the form of UAV remote sensing, uses the visible band, through the calculation of normalized vegetation index, combined with the spectral characteristics of the investigated plants, to extract the vegetation information of the study area. In this paper, the final extracted vegetation information is obtained through practice, and compared with other vegetation extraction methods. It can be seen from the results that the vegetation information extraction method proposed in this paper to the visible band UAV remote sensing has higher extraction accuracy and better effect than other existing methods. Therefore, it can be used to extract vegetation information in complex terrain areas, reduce labor cost input, save research time, and obtain more targeted regional plants for targeted research, So as to improve the efficiency and level of vegetation research in karst areas.