The visualisation and exploration of satellite imagery archives coupled with the quantification of margin/boundary changes are frequently used within earth surface sciences as key indicators of the environmental processes and drivers acting within a system. However, the large scale rapid visualisation and analysis of this imagery is often impractical due to factors such as computer processing power, software availability, internet connection speed, and user expertise in remote sensing. Here are described two separate tools that together can be used to process and visualise the full Landsat 4–8 and Sentinel 1–2 satellite records in seconds, enabling efficient mapping (through manual digitisation) and automated quantification of margin changes. These tools are highly accessible for users from a range of remote sensing expertise, with minimal computational, licensing and knowledge-based barriers to access. The Google Earth Engine Digitisation Tool (GEEDiT) allows users to define a point anywhere on the planet and access all Landsat 4–8/Sentinel 1–2 imagery at that location, filtered for user defined time frames, maximum acceptable cloud cover extent, and options of predefined or custom image band combinations via a simple Graphical User Interface (GUI). GEEDiT also allows georeferenced vectors to be easily and rapidly mapped from each image with image metadata and user notes automatically appended to each vector. This data can then be exported to a user's Google Drive for subsequent analysis. The Margin change Quantification Tool (MaQiT) is complimentary to GEEDiT, allowing the rapid quantification of these margin changes utilising two well-established methods that have previously been used to measure glacier margin change and two new methods via a similarly simple GUI. MaQiT is also suitable for the (re-)analysis of existing datasets not generated by GEEDiT. Although MaQiT has been developed with the aim of quantifying tidewater glacier terminus change, the tool can be applied to other margin changes within earth surface science where margin/boundary change through time is of interest (e.g. coastal and vegetation extent change). It is hoped that these tools will allow a wide range of researchers and students across the geosciences to have access to, efficiently map and analyse volumes of data that may have previously proven prohibitive.