@article{Zakora_Sazonov_2021, title={ALGORITHM FOR ASSESSMENT OF FOREST RESOURCES BY REMOTE MONITORING DATA}, volume={28}, url={http://rocketspace.dp.ua/index.php/rst/article/view/92}, DOI={10.15421/452021}, abstractNote={<p><strong>The article presents an algorithm for assessing some taxation indicators of forest resources based on remote monitoring data. A software module has been developed that automatically evaluates the quantitative characteristics of forest areas. The proposed method uses the features of the spectral - reflective characteristics of forest vegetation, and the use of filtration makes it possible to take into account the features of the objects under consideration. As data sources, the results of color and infrared digital aerial photography from unmanned aerial vehicles were used. High resolution RGB and NIR (near infrared) camera data were analyzed. The processing of aerial photographs was carried out using gradient methods, filtering algorithms and division of images into zones. The use of vegetation indices as recognition signs, the value of which was calculated based on the spectral brightness coefficients of the red and near infrared ranges, made it possible to reduce the time for identifying the objects of photography. The paper considers both general and specific methods of orthomosaic processing. The possibility of direct assessment of some quantitative characteristics of taxation indicators by using the hidden regularities of the reflective properties of tree crowns contained in the image is shown.&nbsp; The developed algorithm and software module makes it possible to automate the accounting of forest resources, to update the taxation database, to monitor changes in the characteristics of forests, to monitor their condition, to receive objective information on the condition of forest funds as soon as possible. The program is written using the Pycharm development environment. The software block is implemented as a separate module and integrated into the open geographic information system QGIS.</strong></p&gt;}, number={4}, journal={Journal of Rocket-Space Technology}, author={Zakora, A. and Sazonov, V.}, year={2021}, month={Oct.}, pages={159-163} }