Terrestial Laser Scaning in the Rainforest: 3D documentation of the site and archaeological

Subscribers:
9,550
Published on ● Video Link: https://www.youtube.com/watch?v=8btKPkLeZ3s



Duration: 0:00
59 views
0


Bolesław Zych, Wiesław Koszkul, Jarosław Źrałka, Bogumił Pilarski

This paper is focused on the presentation of the data which were obtained by Terrestrial Laser Scanning from the Maya center of Nakum, located in north-eastern part of Guatemala. The ruins of Nakum and its surroundings are covered by low and high vegetation which makes it difficult to analyze all surface features and modifications by aerial photography. One of the goal was merging 3D data with information from archaeological excavation and creating database. Point Cloud from Terrestrial Laser Scanning (TLS) was classified and Digital Elevation Model (DEM) with vegetation class was build. It allows us to conduct a very detailed analyze of area and its structures. Those data were integrated and compared to ESRI raster from examined area. The second way of use TLS data was to create interactive 3D map, which is based on triangulated point cloud and contains all digitalized tunnels, excavation unites with georeference, 3D models, photos, drawings and other important research data. It builds accurate database for the inventory and spatial planning, taking into account terrain shape, architectural objects and vegetation density. These data were combined with GIS and free-ware game engine software to create a database with easy open access, interactive publishing, and to build various interactive simulations in real time (flood, sun). Most of used software were open source (Meshlab, Blender, Unreal Engine) or accessible for research purposes (Arcgis).




Other Videos By TALE: The Archaeology Lecture E-library


2025-07-25Using the Energetic Calculator for Ancient Buildings (EnCAB) to Understand the Growth of Cities
2025-07-24Settlement scaling theory, agent based models, and ancient trade
2025-07-22Use of convolutional networks for archaeological feature detection in geophysical surveys
2025-07-21Application of object detection and semantic segmentation in structure from-motion mappings
2025-07-20SkyEye, a machine learning software to detect archaeological structures in LiDAR Dataset
2025-07-18Developing the Durham University Museum Artefact Collection (DUMAC) for Machine Learning...
2025-07-17On seriation and clustering of pottery deposits: from methodological aspects to predictive modelling
2025-07-15Improving the discoverability of zooarchaeological using Natural Language Processing
2025-07-15Combination of machine learning methods of image and natural language recognition on ancient...
2025-07-14Session 21 Introduction
2025-07-10Terrestial Laser Scaning in the Rainforest: 3D documentation of the site and archaeological
2025-07-10Geophysical survey in tropical forest: Results of research carried out at the pre-Columbian centre
2025-07-09Between traditional and innovative. Case study of deserted forest village Neuhaus
2025-07-08Mapping legacies of historic charcoal production on the landscape scale
2025-07-07Airborne laser scanning in Białowieża Primeval Forest
2025-07-04Discussant
2025-07-032 Welcome to the
2025-07-02The European Research Council (ERC) and its funding schemes
2025-07-01Ecological Marginality and Internal Migration on the Mesa Verde North Escarpment
2025-06-30Is Now a Good Time? Bridging Past and Present with Models and Modeling
2025-06-27Archeoinformatics and the Archaeological Digital Initiative: Successes and Challenges Teaching