Tutorial cards

Swedigarch tutorials

These tutorials are developed within Module 5 of SweDigArch – the Swedish National Infrastructure for Digital Archaeology (https://swedigarch.se/).

They provide practical and methodological guidance for producing interoperable digital datasets across multiple archaeological scales — from landscape and site documentation to artefact-level 3D collections and emerging multidimensional analytical data.

The aim is to ensure that new digital data are created in ways that support long-term reuse, FAIR principles, and integration within the Swedigarch ecosystem. By defining acquisition parameters and reproducibility standards, the workflows facilitate aggregation and enable connections to excavation data and archaeological science datasets.

Together, these tutorials support sustainable digital field practice and the development of research-ready, interoperable archaeological data.

3D trench visualized in a 3DGIS platform

Georeferencing of 3D boundary and surface models in GIS

Learn how to import, georeference, and align 3D boundary and surface models within a GIS environment.

Digital Drawing (vector drawing) on a surface model

Vector drawing on 3D surface boundary models polylines and polygons

Learn how to draw and edit vector features directly on 3D boundary and surface models.

Importing GPR-derived data in 3D GIS

This tutorial shows how to import and visualise Ground-Penetrating Radar (GPR) datasets in a 3D GIS environment.

Georeferencing a 3D textured model of an excavation trench Reality Capture

Learn how to georeference a textured 3D trench model in RealityCapture and accurately align it within a GIS environment.

Recording 3D data for monuments or larger volumes: introduction

An introductory tutorial outlining key principles and strategies for recording 3D data of monuments or large structures, from planning to acquisition.

Recording 3D data for monuments or larger volumes: acquisition

A practical guide to capturing high-quality 3D data of monuments, focusing on field workflows, scanner setup, and efficient acquisition strategies.

Recording 3D data for monuments or larger volumes: postprocessing

An overview of how to clean, register, and finalize 3D laser-scanning datasets to produce accurate, ready-to-use models of large structures

data cose to streamline the Meshlab software

Speeding up scanner data processing

A quick guide to streamlining your scanner workflow, from file handling to efficient processing and export.

Roman lantern 3D scanned using the spider scanner

Artec Studio 17 & Artec Space Spider – 3D Scanning and Processing Tutorial Series

A step-by-step tutorial series showing how to capture, process, and export high-resolution 3D models using the Artec Space Spider and Artec Studio 17.

Runestone in 3D processed using artec Leo

Generating a high-quality 3D model using the Artec Leo Scanner

A concise tutorial demonstrating how to generate a high-quality 3D model using the Artec Leo scanner, from acquisition to final processed output.

RealityCapture - Software interface and workflow overview

A tutorial showing how to speed up 3D scanner data post-processing using Python scripts with meshlab to automate tasks like file conversion, subsampling, and meshing so you can handle many scans more efficiently.

Archaeological artefact processed using reality capture

Creating a 3D Textured Model of an Archaeological Artifact Using Reality Capture (10 movies)

A practical tutorial showing how to create a high-quality textured 3D model of an archaeological artefact using photogrammetry in RealityCapture.

historical building processed using reality capture

Creating and georeferencing a 3D textured model of a historic building in Reality Capture

A step-by-step tutorial demonstrating how to create and georeference a textured 3D model of a historic building using RealityCapture.

Reality capture instructions-extending cameras'database

RealityCapture - Extending the Camera Database

A short tutorial explaining how to extend the RealityCapture camera database to correctly process images from unsupported or custom cameras.

megalithic passage grave in Reality capture

RealityCapture merge components

A concise tutorial showing how to merge separate components in RealityCapture to combine multiple image sets into a single 3D model.

REality capture screenshot of the software processing a dataset acquired from the drone

RealityCapture Ortho projections and Reports

A practical tutorial explaining how to generate ortho-projections and reports in RealityCapture for documentation and analysis.

Introduction to Unmanned aerial systems

An introductory tutorial covering the basics of unmanned aerial systems (drones), including components, flight principles, and their use in aerial data capture.

image representing a drone planning operation

Regulations for UAS operations

A concise overview of the key regulations and best practices governing unmanned aerial system (UAS) operations to ensure safe, legal drone use.

LIDAR data acquistion with a UAS

A tutorial that explains how to acquire LiDAR data using a UAV, covering flight planning, sensor setup, and data capture procedures.

Lidar dataset visualized in cloudcompare

Post processing LIDAR data with Cloud Compare

A practical tutorial showing how to post-process UAV LiDAR data using CloudCompare, from importing scans to cleaning, aligning, and generating usable 3D products.

authomatic classification of a Lidar dataset

Automatic classification of LiDAR data

A tutorial showing how to automatically classify LiDAR point cloud data (e.g., ground, vegetation, buildings) using open-source tools to prepare it for further analysis.

workflow of Lidar datasets processed in DJI terra

DJI TERRA workflow- LIDAR point cloud processing

A concise tutorial outlining the DJI Terra workflow for processing UAV LiDAR point clouds, from import to classified and exportable datasets.

screenshot of a map where it is possible download satellite images

Satellite image processing

A brief tutorial introducing methods for processing satellite imagery, including georeferencing, classification, and preparing data for mapping and analysis.

Pixel-based supervised image classification

A focused tutorial explaining how to perform pixel-based supervised classification of images to identify and map features using training data.

Object-based image analysis

A concise tutorial introducing object-based image analysis, showing how to segment imagery into meaningful objects and classify them for spatial analysis.

result of a landscape analysis using the tools described in the tutorial

Landscape analysis with landscape metrics

A short tutorial on using landscape metrics to analyze spatial patterns in landscape data for ecological and archaeological interpretation.

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