AnewdetectionandvisualizationtooltoinspectrawLiDARdataforarchaeological prospection is introduced in this paper. It allowsthe supervised extraction oflinear structures (ridge or hollow)from the 3D ground points, for on-line detailed analysis of their crossand longitudinal profiles. Using raw data provides a richer information than an interpolated digital terrain model. In particular, theextraction process ismade aware ofpoint repartition irregularities caused by dense canopies in forested environments. The tool isbased on a recent curvilinear structure extraction framework withfast execution time, that ensures a good interaction. Additionalperformance is achieved through the detection of the local terrain trend around the structure, that allows finer characterizations ofthe extracted structure. The suitability to several application purposes has been evaluated by archaeologists through real contextexperiments. The tool was first applied to the survey of a well-known medieval wall and to the identification of its less preservedparts, that are still undisclosed in the forested landscape. Then it was used in the scope of a prospective work about man impactson its environment to detect and analyze old holloways andto get a betterunderstanding of their local sunkness or the cause oftheir local deviations. Potential and limits of the tools are discussed. Open source and executable codes are left available for moreextensive exploitation and possible integration into GIS softwares.