Development of a methodology for inventorying forest lands using an unmanned aerial vehicle; the example of the Magdagachinsky forestry, the Amur Oblast, RF

Abstract

The purpose of the study is to develop and test a methodology for the inventory of forest lands using a drone. Modern methods of obtaining and analyzing data were used, including snapshots, statistical processing of their images, calculation of taxational indicators of stands, geospatial analysis and cartographic modeling. The possibility of effective using unmanned air vehicle to obtain the estimated (taxation) indicators of stands necessary for cadastral work (relative completeness, closeness, density, composition of stands, average height of the tier, bonus class, wood stock and a comprehensive estimated indicator of planting) is shown. Their analysis made it possible to give a comprehensive assessment of the state of forests on the lands of the Magdagachinsky forestry, the Amur oblast, RF. These are not the indicators of forest lands to have been established, but the estimated taxation indicators of plantations used in cadastral works