Distance sampling with camera traps

By E. Howe, S. T. Buckland, Marie-Lyne Després-Einspenner, Hjalmar S. Kühl. 2017

232 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Social Psychology

How researchers see this paper

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

In Ecology

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

In Ecology, Evolution, Behavior and Systematics

1. Volker Steinhage
2. Timm Haucke
3. Hjalmar S. Kühl

In Social Psychology

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

Citations in the corpus

• Automated distance estimation for wildlife camera trapping (2022, methodology): “Within a joint project on building up a network of Automated Multisensor stations for Monitoring Of species Diversity (AMMOD) (Wägele et al., 2022), one sub-project is devoted to abundance estimation using Camera Trap Distance Sampling (CTDS) (Howe et al., 2017).”
• Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps (2021, background): “Reference objects can either be imaged only once when the camera traps are installed (Howe et al., 2017) or be placed permanently in the scene (Palencia”
• Exploiting Depth Information for Wildlife Monitoring (2021, methodology): “1 (bottom)), to locate animals in the observed environment and facilitate the automation of laborious ecological studies like estimating population densities (Howe et al., 2017).”