Разработка методов выявления потенциальных ареалов произрастания наркосодержащих растений по данным дистанционного зондирования Земли

Abstract

This article explores the development of effective methods for identifying potential areas of growth of narcotic plants using remote sensing technology. In the face of threats posed by illicit drug cultivation and trafficking, traditional monitoring and eradication methods often prove inefficient and resource-intensive. Contemporary possibilities in remote sensing offer new perspectives for detecting and countering potential areas of narcotic plant growth. The article delves into methods such as spectral data analysis, hyperspectral imaging, data fusion, and machine learning for automating the identification of narcotic crops. Emphasis is also placed on the importance of integrating research findings into the operational activities of law enforcement agencies to enhance the effectiveness of combating illegal drug production. In conclusion, the development and implementation of remote sensing methods for identifying potential areas of narcotic plant growth represent a crucial step in the fight against illegal drug production, contributing to the creation of a safer society.