ABSTRACT. Estimating the total biomass of fish stocks available for fishing at any one time can highly improve the process of deciding upon sustainable fishing management measures. However, countries where fishing resources are not abundant or valuable can hardly justify a regular investment in costly direct stock assessment programs. One way of overcoming such difficulties is to use catch rate data recorded from monitored commercial fishing operations, usually made available through the implementation of less expensive Observers programs. However, this data is prone to overestimate biomass of targeted stocks, because fishermen tend to operate in high-density areas. This study addresses this issue by exploring the use of geostatistical models to estimate biomass of three slope fish stocks of the Brazilian EEZ: codling (Urophycis mystacea), hake Values exceeded those obtained by scientific surveys conducted in the same period and area, but an in-depth analysis of methods employed demonstrated that such overestimation was only significant in the case of hake, the main target of the trawl fleet during the study period. The study showed that geostatistical models are most effective in reducing bias introduced by fishermen behavior when some catches away from high density areas are available. Those tend to be rare in the case of major target-species. Keywords: geostatistical approach, swept-area, biomass assessment, slope fisheries.Investigando las zonas de talud frente a Brasil mientras se pesca: evaluación directa de la abundancia poblacional de peces a partir de datos registrados en faenas de pesca de arrastre comercial RESUMEN. Estimar la biomasa total de stocks pesqueros viene siendo una premisa cada vez más importante para mejorar las medidas de manejo pesquero. Sin embargo, en países donde estos stocks son menos abundantes o menos rentables es difícil justificar continuas inversiones en programas científicos para evaluar su biomasa. Una alternativa es el uso de datos colectados a bordo de embarcaciones comerciales por medio de programas de observadores, que son relativamente menos costosos. No obstante, estos datos tienden a reflejar el direccionamiento de la flota sobre regiones con altas densidades del recurso objetivo, resultando en sobreestimaciones de la biomasa de estos recursos. El presente estudio aborda este problema explorando la implementación de modelos geoestadísticos para estimar la biomasa de tres stocks demersales de talud: brótola (Urophycis mystacea), merluza (Merluccius hubbsi) y rape (Lophius gastrophysus).