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Background <p>There is a noticeable threat to the law enforcement posed by the proliferation of the cultivation of drugs around the world. One of the most popular illegal cultivated plants are Cannabis sativa and Ephedra sinica. This paper presents a new way of detecting such crops with hyperspectral image application using unmanned aerial vehicles (UAVs) to find such crops in inaccessible mountainous lands.</p> Techniques <p>It was a field study within the frames of UNODC mission in Kyrgyzstan by using a fixed-wing UAV with a hyperspectral camera (spectral range: 0.4–1.0&#xa0;m; 150–300 channels; resolution: 2–4&#xa0;nm). The mission integrated both ground spectrometry, airborne spectral imaging as well as automated classification to distinguish between the Cannabis and Ephedra and the surrounding vegetation.</p> Findings <p>The patterns of reflectance were distinguished. Cannabis could be differentiated with nettle, stubble and grass in the 500–820&#xa0;nm range. There was spectral divergence by ephedra against shrubs and rocks notably in the range 750&#xa0;nm. Digital mapping allowed visualising plant groupings according to their spectral signatures.</p> Conclusions <p>The new hyperspectral strategy, which involves use of UAV, is quick, less costly as well as accurate as compared to satellite monitoring. It enables quick investigation and monitoring of illegal cultivation of crops. The technology has a potential in expanding its usage into illegal mining, surveillance of crime against wildlife, and environmental monitoring.</p>

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UAV mounted spectrometry camera solution for detecting illicit cannabis and ephedra plantations

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月14日

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  • Dmitry Mikhaylov,
  • Devadas R. Thangavelloo,
  • Natalia Zolotykh,
  • Andrey Seleznev

摘要

Background

There is a noticeable threat to the law enforcement posed by the proliferation of the cultivation of drugs around the world. One of the most popular illegal cultivated plants are Cannabis sativa and Ephedra sinica. This paper presents a new way of detecting such crops with hyperspectral image application using unmanned aerial vehicles (UAVs) to find such crops in inaccessible mountainous lands.

Techniques

It was a field study within the frames of UNODC mission in Kyrgyzstan by using a fixed-wing UAV with a hyperspectral camera (spectral range: 0.4–1.0 m; 150–300 channels; resolution: 2–4 nm). The mission integrated both ground spectrometry, airborne spectral imaging as well as automated classification to distinguish between the Cannabis and Ephedra and the surrounding vegetation.

Findings

The patterns of reflectance were distinguished. Cannabis could be differentiated with nettle, stubble and grass in the 500–820 nm range. There was spectral divergence by ephedra against shrubs and rocks notably in the range 750 nm. Digital mapping allowed visualising plant groupings according to their spectral signatures.

Conclusions

The new hyperspectral strategy, which involves use of UAV, is quick, less costly as well as accurate as compared to satellite monitoring. It enables quick investigation and monitoring of illegal cultivation of crops. The technology has a potential in expanding its usage into illegal mining, surveillance of crime against wildlife, and environmental monitoring.