Enhancing Forest Security through Advanced Surveillance Applications
Forests established through afforestation are one of the most precious natural resources, especially in harsh and desert-biased conditions. Trees are often exposed to various threats that need to be addressed. Some of the threats are igniting fires, illegal lumberjacking, hunting, using, and crossin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Forests |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4907/14/12/2335 |
| _version_ | 1797381037307723776 |
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| author | Danny Buchman Tomas Krilavičius Rytis Maskeliūnas |
| author_facet | Danny Buchman Tomas Krilavičius Rytis Maskeliūnas |
| author_sort | Danny Buchman |
| collection | DOAJ |
| description | Forests established through afforestation are one of the most precious natural resources, especially in harsh and desert-biased conditions. Trees are often exposed to various threats that need to be addressed. Some of the threats are igniting fires, illegal lumberjacking, hunting, using, and crossing prohibited areas, etc. This article delves into the combination of advanced technologies, such as radars, thermal imaging, remote sensing, artificial intelligence, and biomass monitoring systems, in the field of forestry and natural resource security. By examining the parametric assurance technologies described in this paper, the potentials of real-time monitoring, early detection of threats, and rapid response capabilities are examined, which significantly improves the efficiency of forest protection efforts. This article deals with the presentation of advanced algorithms that include radar, thermal cameras, and artificial intelligence, which enable the automatic identification and classification of potential threats with a false alarm rate (FAR) as low as possible. The article presents a systemic solution that optimizes the answer for a parametric security system that is required to work in a complex environment with multiple triggers that can cause false alarms. In addition to this, a presented system is required to be easy to assemble and have the ability to integrate into natural areas and serve as a vulnerable aid in nature as much as possible. In conclusion, this study highlights the transformative potential of security applications in improving forest and natural reserve security while taking into account the complexity of the environment. |
| first_indexed | 2024-03-08T20:45:30Z |
| format | Article |
| id | doaj.art-34c7567449e4496480bf79d7c70b984f |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-08T20:45:30Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-34c7567449e4496480bf79d7c70b984f2023-12-22T14:09:26ZengMDPI AGForests1999-49072023-11-011412233510.3390/f14122335Enhancing Forest Security through Advanced Surveillance ApplicationsDanny Buchman0Tomas Krilavičius1Rytis Maskeliūnas2Faculty of Informatics, Vytautas Magnus University, 44248 Akademija, LithuaniaFaculty of Informatics, Vytautas Magnus University, 44248 Akademija, LithuaniaFaculty of Informatics, Vytautas Magnus University, 44248 Akademija, LithuaniaForests established through afforestation are one of the most precious natural resources, especially in harsh and desert-biased conditions. Trees are often exposed to various threats that need to be addressed. Some of the threats are igniting fires, illegal lumberjacking, hunting, using, and crossing prohibited areas, etc. This article delves into the combination of advanced technologies, such as radars, thermal imaging, remote sensing, artificial intelligence, and biomass monitoring systems, in the field of forestry and natural resource security. By examining the parametric assurance technologies described in this paper, the potentials of real-time monitoring, early detection of threats, and rapid response capabilities are examined, which significantly improves the efficiency of forest protection efforts. This article deals with the presentation of advanced algorithms that include radar, thermal cameras, and artificial intelligence, which enable the automatic identification and classification of potential threats with a false alarm rate (FAR) as low as possible. The article presents a systemic solution that optimizes the answer for a parametric security system that is required to work in a complex environment with multiple triggers that can cause false alarms. In addition to this, a presented system is required to be easy to assemble and have the ability to integrate into natural areas and serve as a vulnerable aid in nature as much as possible. In conclusion, this study highlights the transformative potential of security applications in improving forest and natural reserve security while taking into account the complexity of the environment.https://www.mdpi.com/1999-4907/14/12/2335sensor fusionmulti-target trackingKalman filterMMW radarCNN |
| spellingShingle | Danny Buchman Tomas Krilavičius Rytis Maskeliūnas Enhancing Forest Security through Advanced Surveillance Applications Forests sensor fusion multi-target tracking Kalman filter MMW radar CNN |
| title | Enhancing Forest Security through Advanced Surveillance Applications |
| title_full | Enhancing Forest Security through Advanced Surveillance Applications |
| title_fullStr | Enhancing Forest Security through Advanced Surveillance Applications |
| title_full_unstemmed | Enhancing Forest Security through Advanced Surveillance Applications |
| title_short | Enhancing Forest Security through Advanced Surveillance Applications |
| title_sort | enhancing forest security through advanced surveillance applications |
| topic | sensor fusion multi-target tracking Kalman filter MMW radar CNN |
| url | https://www.mdpi.com/1999-4907/14/12/2335 |
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