The aim of this paper is to outline an experimental survey technique carried out by a team from the University of Toronto. For five weeks in April and May 2012, crew members surveyed part of Wadi Quseiba's drainage basin east of the Jordan Valley, and west of the modern city of Irbid. The goals of the survey were twofold: to search for late prehistoric (Epipalaeolithic, Neolithic and Chalcolithic) sites, and to test an innovative approach to surveying a large territory with limited resources. Wadi Quseiba's (Figures 1 & 2) main canyon borders the Jordan Valley, and collects runoff from two main tributaries that drain the eastern plateau, Wadi Darraba and Wadi Khadra. All three channels were surveyed in the 2012 pilot investigation. During survey, cooler, drier conditions predominated on the plateau, while hotter, more humid conditions prevailed near the Jordan Valley, where the wadi channel drops to about 200m below sea level. Winter rains not only charge these channels with runoff, leading to erosive downcutting, but also allow cereal agriculture on the lowest terraces at the western end of the drainage. Here there are also springs that would once have provided a perennial water source. In the upper portions of the drainage are found olive groves, shrubby pastures that are remnants of degraded oak forests, and very restricted areas of oak woodland. Seasonal and spatial variations in ground cover have major effects on surface visibility and the feasibility of archaeological fieldwalking survey. Our survey began after the rainy season had ended, but early enough that many crops had not yet been harvested. Consequently, survey was largely restricted to portions of the drainage where crop cover was absent or harvest had just taken place. Almost none of Wadi Quseiba has been previously surveyed, other than a single day of survey on horseback by Nelson Glueck in 1947 (Glueck 1951: 184–85) which recorded three sites (Tell Abu el-Hussein, Ras Abu Lofeh and Mendah), none of them prehistoric. The overarching goal of this survey was to experiment with ways to maximise our probability of discovering 'target' archaeological materials—in this case, late prehistoric ones—both by using a predictive model, and by employing Bayesian optimal-allocation algorithms. To facilitate this goal, the survey recording system was fully digital. Many archaeological predictive models target landscape features, the distribution of water sources, and other factors thought to have influenced ancient landscape use in order to predict where undiscovered materials might be found (Wescott & Brandon 2000; Wheatley & Gillings 2002: 157–63; Verhagen 2009). Conversely, our approach is based on the premise that, in a highly dissected environment like Wadi Quseiba, only small portions of the late prehistoric land surface survive, as wadi downcutting has completely removed much of it. Additionally, even the surviving portions are often buried by later deposits, typically colluvium from the adjacent slopes. Consequently, we used satellite imagery and GIS to identify areas of erosion and sediment accretion, development and modern farming, with the goal of flagging those modern landscape features that have the highest probability of being exposed remnants of the