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Meeting the increasing demand for agricultural products is dependent on maintaining productive soils. Gully erosion in agricultural fields, has been shown in many regions to be as significant as sheet and rill erosion in delivering sediment to streams, rivers and lakes. Soil loss from all erosion sources is also much higher when gullies are present. Integrated conservation practices are needed to effectively control erosion from all sources in agricultural watersheds. In order to understand the effect of these practices, studies are necessary to improve our understanding of the processes involved in the formation and evolution of gullies in agricultural fields. Studies were performed to monitor gullies in a small catchment located in Kansas, USA through multi-temporal surveys using a ground-based Light Detection and Ranging (LiDAR) system to produce detailed topographic information (Figure 1). Elevation data, in the form of point clouds, obtained in each field campaign (surveys at different dates) were filtered to remove anomalous points representing vegetation and standing crop residue. Multi-temporal detailed terrain models were generated using irregular grids and gully evolution was quantified by measurements of headcut migration, channel widening and volume change estimation. Although the findings of this study represent short-term morphological changes, these results demonstrate the potential for using sequential detailed Digital Elevation Models (DEMs) for long-term monitoring of the dynamic behavior of gullies located in agricultural fields, providing information for developing/validating gully evolution theories thus improving the development of conservation practices.