A Design for Estimating Visibility Bias in Aerial Surveys

R. Dennis Cook, J. O. Jacobson

Biometrics · 1979 · 163 citations · 6 references

Concepts

TL;DR

Failure to observe all animals in aerial census data can severely bias population density estimates. The study presents a design to estimate visibility bias—the probability of missing an animal—in aerial surveys with two observers on the same side. The design treats each possible group size separately and offers two related inference methods for visibility bias parameters and population totals. The design is applied to a white‑tailed deer survey in west‑central Alberta, illustrating its practical use.

Abstract

In aerial census data, is present because the failure to observe all animals can result in severely biased population density estimates. Assuming that the aircraft can accommodate two observers situated on the same side, we present a design for estimating the magnitude of visibility bias, i.e., the probability of not observing an animal. The magnitude of visibility bias depends strongly on the propensity for animals to occur in groups and, thus, the design considers each possible group size separately. Two related methods of inference for the visibility bias parameters and the population total are described. We also discuss the application of the basic design and the associated survey methodology to an aerial survey of white-tailed deer in west-central Alberta.

References

6