Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial Vehicle
The study was carried out on the territory of the Kemerovo region-Kuzbass (Western Siberia, Russia). The purpose of the study was to obtain information on the species diversity and population of big-game animals. The monitoring was carried out on the forest territories of the region’s administrative...
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| Format: | Article |
| Language: | English |
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Technoscience Publications
2024-03-01
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| Series: | Nature Environment and Pollution Technology |
| Subjects: | |
| Online Access: | https://neptjournal.com/upload-images/(33)D-1338.pdf |
| _version_ | 1797264917692153856 |
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| author | S. Ivanova and A. Prosekov |
| author_facet | S. Ivanova and A. Prosekov |
| author_sort | S. Ivanova and A. Prosekov |
| collection | DOAJ |
| description | The study was carried out on the territory of the Kemerovo region-Kuzbass (Western Siberia, Russia). The purpose of the study was to obtain information on the species diversity and population of big-game animals. The monitoring was carried out on the forest territories of the region’s administrative districts. In the course of remote sensing using an unmanned aerial vehicle, the presence of all types of animals under consideration, except for the bear, was recorded. The deviation of the population number determined using the traditional method of digital technologies varied up to 50%. It was established that environmental measures organized and carried out by the regional administration and hunting farms improved the situation and stabilized the population of the main group of game animals. It was found that when using a sufficiently high sensitivity of the thermal imager (the used thermal imager had a very high sensitivity class ≤ 60 mK at 300 K), long-haired animals, which are characterized by a lower intensity of thermal radiation (for example, wolves) are identified and recognized in the images. The larger the animal and the worse the thermal insulation layer (wool or feathers), the easier it is to identify it in infrared images and the lower the sensitivity requirements of thermal imagers. The ability to recognize and record smaller animals and birds requires additional research on existing technologies. Our research has confirmed the validity of digital remote monitoring methods for managing the wildlife of hunting farms and nature conservation areas of the Siberian Taiga territories. |
| first_indexed | 2024-04-25T00:36:31Z |
| format | Article |
| id | doaj.art-6743f2ee855a4f2895b17e821a0c6e90 |
| institution | Directory Open Access Journal |
| issn | 0972-6268 2395-3454 |
| language | English |
| last_indexed | 2024-04-25T00:36:31Z |
| publishDate | 2024-03-01 |
| publisher | Technoscience Publications |
| record_format | Article |
| series | Nature Environment and Pollution Technology |
| spelling | doaj.art-6743f2ee855a4f2895b17e821a0c6e902024-03-12T16:37:29ZengTechnoscience PublicationsNature Environment and Pollution Technology0972-62682395-34542024-03-0123139139910.46488/NEPT.2024.v23i01.033Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial VehicleS. Ivanova and A. ProsekovThe study was carried out on the territory of the Kemerovo region-Kuzbass (Western Siberia, Russia). The purpose of the study was to obtain information on the species diversity and population of big-game animals. The monitoring was carried out on the forest territories of the region’s administrative districts. In the course of remote sensing using an unmanned aerial vehicle, the presence of all types of animals under consideration, except for the bear, was recorded. The deviation of the population number determined using the traditional method of digital technologies varied up to 50%. It was established that environmental measures organized and carried out by the regional administration and hunting farms improved the situation and stabilized the population of the main group of game animals. It was found that when using a sufficiently high sensitivity of the thermal imager (the used thermal imager had a very high sensitivity class ≤ 60 mK at 300 K), long-haired animals, which are characterized by a lower intensity of thermal radiation (for example, wolves) are identified and recognized in the images. The larger the animal and the worse the thermal insulation layer (wool or feathers), the easier it is to identify it in infrared images and the lower the sensitivity requirements of thermal imagers. The ability to recognize and record smaller animals and birds requires additional research on existing technologies. Our research has confirmed the validity of digital remote monitoring methods for managing the wildlife of hunting farms and nature conservation areas of the Siberian Taiga territories.https://neptjournal.com/upload-images/(33)D-1338.pdfwild animals, hunting grounds, biodiversity, remote sensing, unmanned aerial vehicle, management |
| spellingShingle | S. Ivanova and A. Prosekov Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial Vehicle Nature Environment and Pollution Technology wild animals, hunting grounds, biodiversity, remote sensing, unmanned aerial vehicle, management |
| title | Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial Vehicle |
| title_full | Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial Vehicle |
| title_fullStr | Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial Vehicle |
| title_full_unstemmed | Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial Vehicle |
| title_short | Hunting Resource Management by Population Size Control by Remote Sensing Using an Unmanned Aerial Vehicle |
| title_sort | hunting resource management by population size control by remote sensing using an unmanned aerial vehicle |
| topic | wild animals, hunting grounds, biodiversity, remote sensing, unmanned aerial vehicle, management |
| url | https://neptjournal.com/upload-images/(33)D-1338.pdf |
| work_keys_str_mv | AT sivanovaandaprosekov huntingresourcemanagementbypopulationsizecontrolbyremotesensingusinganunmannedaerialvehicle |