Development of methods for estimating deer population size with ground and remote sensing techniques

Autor: Oki, Kazuo, Maki, Masayasu, Okumura, Tadanobu, Salem Ibrahim, Salem
Jazyk: japonština
Rok vydání: 2022
Předmět:
Zdroj: 低温科学. 80:477-482
ISSN: 1880-7593
Popis: 本研究は,マイクロフォン地上センサとドローンリモートセンシングによるニホンジカ個体数推定手法の開発をおこない,それらの精度を比較検討し,最終的に人のアプローチによる調査が難しい湿原域におけるシカ個体数推定手法の提案をおこなった. 最終的な研究成果として,マイクロフォンによるシカ個体数推定では,尾瀬ヶ原西部地域のシカの個体数は,およそ539.9~667.4頭と推定され,ドローンによる個体数は,およそ470~696頭と推定された.マイクロフォンとドローンによるシカの個体数の推定原理は全く違うにも関わらずほぼ同じ推定結果が得られ,それぞれの手法の有効性が示された.今後,尾瀬においてこれらの手法の活用が期待される.
In the present study, we developed a method for evaluating the deer population in western Ozegahara using microphone ground sensors and an unmanned aerial vehicle (UAV). Specifically, we first developed a deer population estimation method using a microphone, followed by a deer population estimation method using the UAV. We then carried out a comparative examination of the accuracy of these deer population estimation methods. We propose these new methods for estimating deer populations in wetlands, which are difficult for humans to enter. Our research results showed that the deer population estimated by the microphone was 539.9 to 667.4 in the western Oze area, and the drone estimated it to be 470 to 696. Although the two methods for estimating the deer population are completely different, almost the same results were obtained, indicating that these methods are effective. It is expected that these methods will be utilized in Oze in the future.
Databáze: OpenAIRE