Arthropod abundance, biomass and taxonomic diversity are key metrics often used to assess the efficacy of restoration efforts. Gathering these is a slow laborious process, quantified by an expert manually sorting weighing arthropod specimens. We present tool accelerate bulk classification estimates utilizing machine learning methods for computer vision. Our approach requires pre-sorted samples ...

Many topographic characteristics of the landscape (e.g. relief, slope, aspect, gradient, slope curvature, slope length and contour curvature) play important roles in the distribution of vegetation and biodiversity (e.g. Merriam, 1890, 1894; Whittaker & Niering, 1965, 1968; Vuilleumier, 1970; Brown, 1971, 1978; Hastings et al., 1972; Simpson, 1975; Hanawalt & Whittaker, 1976; Whittaker, 1977; Be...

Two demonstration sites in southeast Idaho, USA were used to extend remote sensing of leafy spurge research to fine-scale detection for abundance mapping using matched filtering (MF) scores. Linear regression analysis was used to quantify the relationship between MF estimates and calibrated ground estimates of leafy spurge abundance. The two sites had r values of 0.46 and 0.64. Both the slope o...

It is important to understand the volume backscattering by dense aggregations of a variety of scattering objects such as bubbles or biological targets. This paper addresses the interference of the echoes from randomly distributed targets. The main motivation of the paper is to understand the conditions under which the echo interference may affect the accuracy of the abundance and/or the biomass...

Double-observer line transect methods are becoming increasingly widespread, especially for the estimation of marine mammal abundance from aerial and shipboard surveys when detection of animals on the line is uncertain. The resulting data supplement conventional distance sampling data with two-sample mark-recapture data. Like conventional mark-recapture data, these have inherent problems for est...

We present a framework for hyperspectral image (HSI) analysis validation, specifically abundance fraction estimation based on HSI measurements of water soluble dye mixtures printed on microarray chips. In our work we focus on the performance of two algorithms, the Least Absolute Shrinkage and Selection Operator (LASSO) and the Spatial LASSO (SPLASSO). The LASSO is a well known statistical metho...

Standard geostatistical techniques provide effective methods for estimating the global abundance and precision of a variable of interest, for mapping its spatial distribution and for describing its spatial structure. In the case of acoustic survey data, however, obtaining a measure of precision of the global abundance estimate is confounded by the combination of variances from the interpolation...