Three novel methods to estimate abundance of unmarked animals using remote cameras

By A. Moeller, P. Lukacs, Jon S. Horne. 2018

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Peter Johanns
2. Timm Haucke
3. Volker Steinhage
4. Hjalmar S. Kühl
5. J. Hoyer

Citations in the corpus

• Automated distance estimation for wildlife camera trapping (2022, methodology): “…that our methodology transcends to other abundance estimation methods such as the random encounter model (Rowcliffe et al., 2008), the random encounter and staying time model (Nakashima et al., 2018), the time-to-event model, space-to-event model, and instantaneous estimator (Moeller et al., 2018).”
• Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps (2021, background): “, 2018), the time-to-event model (TTE), space-to-event model (STE), instantaneous estimator (IS) (Moeller et al., 2018) and camera trap distance sampling (Howe et al.”