Abstract
While the effective sweep width (W) method appears to provide accurate, objective probability of detection (POD) for search planning, the need for an extensive library of locally relevant W values poses an obstacle to adoption. To investigate means for shortening such data acquisition, we conducted a roughly third-scale sweep width exercise in Bellview, Ohio, U.S.A., leveraging a more data-efficient means of deriving POD-validated Ws previously described. We compared the results to previous Ws obtained in a subjectively similar area in Wexford, Pennsylvania, finding that the sparsity of data in the smaller course sometimes results in poor fits. However, when good POD-curve fits can be derived, the W values for the similar areas appear to be statistically indistinguishable.
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