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ЛИДАРНАЯ ТЕХНОЛОГИЯ В СОВРЕМЕННОЙ ИНВЕНТАРИЗАЦИИ ЛЕСНЫХ МАССИВОВ ГОРОДСКОЙ СРЕДЫ
Until now, field measurements have been the main method for inventorying urban forests. The advent of LiDAR and remote sensing technology has made a breakthrough possible in terms of the effort and quality balance. LiDAR technology allows a three-dimensional reconstruction of aboveground biomass in the form of a point cloud and thereby to classify vegetation at different levels in the analysis of urban forests. Large-scale LiDAR scan data are increasingly being used to study in detail the vertical and horizontal structure of aboveground biomass in the urban landscape. In particular, 3D point clouds and full LiDAR waveform data allow estimation of changes in forest biomass and carbon stock, leaf area index and other dendrometric indicators. In addition, technologies for recognizing the type of forest and its species composition are being actively developed. Thus, LiDAR technology is an effective tool for reducing the ratio of labor costs and quality. However, when mapping urban vegetation, the most effective way is to combine LiDAR data with high resolution imagery and hyperspectral imaging data. This is especially true for urban systems where the green space distribution is critical to the provision of ecosystem services.