Potential of using Machine learning Technology to predict site location of Burial Sites in the Åland Islands.
(2024) ARKM21 20241Archaeology
- Abstract
- The most recent advancement in the subdiscipline of Digital Archaeology is the introduction of Artificial Intelligence (AI) in conjunction with Machine Learning (ML) as a tool to predict potential archaeological sites in a landscape. Furthermore, the development of new LiDAR (Light Detection and Ranging) technology with a resolution of 5 laser–points/m2 in Åland (as well as large parts of Finland) brings the possibility of analysing hidden archaeological features hidden beneath thick forests and shrubbery. Åland, being a cross–cultural region between Sweden and Finland with a rich archaeological footprint influenced by both countries, may have forgotten archaeological sites hidden in the thick forests of the mainland or among the thousands... (More)
- The most recent advancement in the subdiscipline of Digital Archaeology is the introduction of Artificial Intelligence (AI) in conjunction with Machine Learning (ML) as a tool to predict potential archaeological sites in a landscape. Furthermore, the development of new LiDAR (Light Detection and Ranging) technology with a resolution of 5 laser–points/m2 in Åland (as well as large parts of Finland) brings the possibility of analysing hidden archaeological features hidden beneath thick forests and shrubbery. Åland, being a cross–cultural region between Sweden and Finland with a rich archaeological footprint influenced by both countries, may have forgotten archaeological sites hidden in the thick forests of the mainland or among the thousands of islands scattered in the archipelago. This study seek to explore the possibility of using a semi–automated deep learning approach to predict potential burial mounds and cairns in Åland, utilizing the latest high–resolution LiDAR dataset. Although only 4 of the 14 study areas were thoroughly surveyed, the AI/ML system was able to identify sites interpreted to be potential burial sites. As archaeological sites are provided legal under the Ålandic cultural heritage act called Landskapslagen (1965:9) om Fornminnen, it is important to find any potentially significant archaeological site to ensure its legal protection. Therefore, the study suggest that AI/ML systems have the potential to revolutionize the fields of archaeology and Cultural Heritage Management in Åland, with the hopes that similar studies can explore the possibility of finding forgotten archaeological sites in the archipelago region where little have been previously surveyed. (Less)
- Popular Abstract (Swedish)
- Den senaste utvecklingen inom underfältet Digital Arkeologi är införandet av Artificiell Intelligens (AI) i kombination med Maskininlärning (ML) som ett verktyg för att förutsäga potentiella arkeologiska platser i ett landskap. Vidare möjliggör utvecklingen av en LiDAR (Ljusdetektering och avstånd) teknologi med en upplösning på 5 laserpunkter/m2 på Åland (samt i stora delar av Finland) att analysera dolda fornlämningar under täta skogar och buskage. Åland, som är en tvärkulturell region mellan Sverige och Finland med ett rikt arkeologiskt fotavtryck influerat av båda länderna, kan ha många bortglömda arkeologiska lämningar gömda i fastlandets täta skogar eller bland de tusentals öarna i skärgården. Denna studie syftar till att utforska... (More)
- Den senaste utvecklingen inom underfältet Digital Arkeologi är införandet av Artificiell Intelligens (AI) i kombination med Maskininlärning (ML) som ett verktyg för att förutsäga potentiella arkeologiska platser i ett landskap. Vidare möjliggör utvecklingen av en LiDAR (Ljusdetektering och avstånd) teknologi med en upplösning på 5 laserpunkter/m2 på Åland (samt i stora delar av Finland) att analysera dolda fornlämningar under täta skogar och buskage. Åland, som är en tvärkulturell region mellan Sverige och Finland med ett rikt arkeologiskt fotavtryck influerat av båda länderna, kan ha många bortglömda arkeologiska lämningar gömda i fastlandets täta skogar eller bland de tusentals öarna i skärgården. Denna studie syftar till att utforska möjligheten att använda ett halv–automatiserat djupinlärningssätt för att förutsäga potentiella gravhögar och rösen på Åland, med hjälp av den senaste högupplösta LiDAR–dataset. Trots att endast 4 av de 14 studieområdena var noggrant undersökta, kunde AI/ML–systemet identifiera platser som tolkades som potentiella gravplatser. Eftersom arkeologiska lämningar har juridiskt skydd enligt den åländska kulturarvslagen Landskapslagen (1965:9) om Fornminnen, är det viktigt att upptäcka potentiellt betydelsefulla arkeologiska platser för att säkerställa deras lagliga skydd. Därför föreslår studien att AI/ML–system kan ha potential att revolutionera områdena arkeologi och kulturarvsförvaltning på Åland, med förhoppningen att likande studier kan utforska möjligheten att hitta bortglömda arkeologiska lämningar i skärgårdsregionen där få tidigare inventeringar har utförts. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9172149
- author
- Larsson, Andreas LU
- supervisor
- organization
- alternative title
- A GIS, literature and field study about the usage of Artificial Intelligence technology as a Predictive Modelling tool of determining potential site placements of Burial Sites in the Åland Islands.
- course
- ARKM21 20241
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Airborne Laser Scanning (LiDAR), Geographical Information Systems (GIS), Artificial Intelligence, Machine Learning, Remote Sensing, Burial Mounds, Buiral Cairns, Åland, Archaeology, Cultural Heritage Management, Landskapslagen (1965:9) om Fornminnen.
- language
- English
- additional info
- This masters thesis passed through the Opposition peer review process
- id
- 9172149
- date added to LUP
- 2024-09-16 16:31:26
- date last changed
- 2024-09-16 16:31:26
@misc{9172149,
abstract = {{The most recent advancement in the subdiscipline of Digital Archaeology is the introduction of Artificial Intelligence (AI) in conjunction with Machine Learning (ML) as a tool to predict potential archaeological sites in a landscape. Furthermore, the development of new LiDAR (Light Detection and Ranging) technology with a resolution of 5 laser–points/m2 in Åland (as well as large parts of Finland) brings the possibility of analysing hidden archaeological features hidden beneath thick forests and shrubbery. Åland, being a cross–cultural region between Sweden and Finland with a rich archaeological footprint influenced by both countries, may have forgotten archaeological sites hidden in the thick forests of the mainland or among the thousands of islands scattered in the archipelago. This study seek to explore the possibility of using a semi–automated deep learning approach to predict potential burial mounds and cairns in Åland, utilizing the latest high–resolution LiDAR dataset. Although only 4 of the 14 study areas were thoroughly surveyed, the AI/ML system was able to identify sites interpreted to be potential burial sites. As archaeological sites are provided legal under the Ålandic cultural heritage act called Landskapslagen (1965:9) om Fornminnen, it is important to find any potentially significant archaeological site to ensure its legal protection. Therefore, the study suggest that AI/ML systems have the potential to revolutionize the fields of archaeology and Cultural Heritage Management in Åland, with the hopes that similar studies can explore the possibility of finding forgotten archaeological sites in the archipelago region where little have been previously surveyed.}},
author = {{Larsson, Andreas}},
language = {{eng}},
note = {{Student Paper}},
title = {{Potential of using Machine learning Technology to predict site location of Burial Sites in the Åland Islands.}},
year = {{2024}},
}