Forests are critical terrestrial ecosystems that provide extensive economic, ecological, and environmental benefits. However, they are increasingly threatened by both biotic and abiotic disturbances. Among biotic factors, insect infestations are a leading cause of damage, posing significant challenges to coniferous forests in the Northern Hemisphere. Remote sensing technologies offer a promising solution for detecting forest disturbances caused by pests. This study evaluates the effectiveness of the Normalized Difference Vegetation Index (NDVI) in identifying dead trees affected by pest infestations. Using data collected from a Mavic 3M unmanned aerial vehicle equipped with a multispectral camera, NDVI imagery was generated and classified into vegetation presence levels. The classification successfully delineated areas containing dead trees, demonstrating the potential of NDVI-based remote sensing for forest health monitoring.