[5], where the focus shifts to fully exploiting the dimensionality of remote sensing data--in this case, the value of radiometric information in airborne laser scanning to provide further insights about archaeological features. This paper describes a desk-based approach to radiometric calibration through the selection of homogenous areas of interest, which allows a raster reflectance map approximating a monochromatic illumination-independent true orthoimage to be generated. Having demonstrated the value of the approach and negating the lack of in-field calibration data for most airborne laser scanning data, a freely available tool to apply this procedure is introduced. The value of such tools is well known to all users of the Relief Visualisation Toolbox, which provides a set of techniques to visualise raster elevation datasets in an easy-to-use package. In the paper by [PERSON] and [PERSON] [6], the authors discuss what constitutes useful visualisations, and how their characteristics bear on the visibility of archaeological topographic features. The paper also addresses the inherent complexity that multiple visualisations may bring to the interpretative process, proposing an approach that blends different relief visualisation techniques to allow for the simultaneous display of topographic features in a single image. This paper offers an interesting complement to [PERSON]'s [2] and provides the \"recipes\" for their visualisations and a tool for their computation. The benefits of integrated workflows and the combination of what might otherwise be distinct areas of archaeological practice are illustrated in the paper by [PERSON] et al. [7] which reports on the articulation of remote sensing, machine learning, and Citizen Science in a Dutch case study. Underlying this approach is a desire to address the paucity of labelled archaeological training datasets for machine learning (see also [3]), and the recognition that Citizen Science can help generate and validate detections of hitherto unknown archaeological objects. This paper, too, offers an explicit, well-documented workflow that aims to ensure effective integration and that the character of outputs from the different processes is understood. Understanding the character of outputs from data collection strategies is a theme common to the last two papers in this Special Issue. By asking the question of what a satellite system designed for archaeological specifications might look like, [PERSON] et al. [8] discuss the factors that impose inherent limitations on the archaeological applications of existing satellite data. By presenting a high-level mission architecture for a bespoke satellite system designed from an archaeological specification, the paper provides a simulation analysis that foregrounds the archaeological requirements for a satellite constellation design. This provides insights into data characteristics that should be useful to the users of repurposed satellite data and contributes to thinking about how archaeological and heritage management concerns might be incorporated into the future planning of satellite missions. A key point of this paper is that satellite data can be sourced and used without understanding how they were acquired, which may be an inherent limitation on the considered applications. While the discussion of a satellite for archaeology is innovative, the valuable application of satellite data in archaeology has a long history, with such data from the 1960s and 1970s, for example, providing valuable historical documents of landscapes that may be long gone or dramatically altered. The benefits of a longer-term perspective on aspects of archaeological practice are discussed by [PERSON] et al. [9] in this collection's final paper. The value of differential crop development (cropmarks) in the detection of buried archaeology is well-known, but the authors point out that much of the knowledge about how and why such proxies develop is empirical.