Estimating the density of raccoon dogs (Nyctereutes procyonoides) and water deer (Hydropotes inermis) using thermal real-time drone surveys and distance sampling
but with low detection probability (34.4%) and wide confidence intervals due to limited sample size and complex terrain. These results indicate that real-time drone surveys, when integrated with distance sampling, can effectively correct for detection bias in density estimation of medium- to large-sized mammals. Future studies should apply advanced approaches such as Multiple Covariate Distance Sampling to account for variability in detection probability across survey conditions.
Authors
- Hyeok Jae Lee
- Choonghyun Kang (ORCID: https://orcid.org/0000-0002-7848-0660)
- Yeon Woo Lee
- Minyoung Kim (ORCID: https://orcid.org/0000-0003-4273-7118)
- Jong Koo Lee
- Sumin Jeon
- Soo Kyeong Hwang
- Jihye Son
- Ryeoeun Youn
- Jiwon Choi
- Tae Ho Lee
- Hwanhee Seo
Institutions
- Incheon National University (KR)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-04-28
- DOI
- https://doi.org/10.1038/s41598-026-50722-9
- Primary Topic
- Wildlife Ecology and Conservation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Forestry Promotion Institute