Citizen science in environmental and ecological sciences

D Fraisl, G Hager, B Bedessem, M Gold… - Nature Reviews …, 2022 - nature.com
Citizen science is an increasingly acknowledged approach applied in many scientific
domains, and particularly within the environmental and ecological sciences, in which non …

Documentation of archaeology-specific workflow for airborne LiDAR data processing

E Lozić, B Štular - Geosciences, 2021 - mdpi.com
Airborne LiDAR is a widely accepted tool for archaeological prospection. Over the last
decade an archaeology-specific data processing workflow has been evolving, ranging from …

[HTML][HTML] Automated mapping of cultural heritage in Norway from airborne lidar data using faster R-CNN

ØD Trier, JH Reksten, K Løseth - … Journal of Applied Earth Observation and …, 2021 - Elsevier
The existing cultural heritage mapping in Norway is incomplete. Some selected areas are
mapped well, while the majority of areas only contain chance discoveries, often with bad …

A modified Mask region‐based convolutional neural network approach for the automated detection of archaeological sites on high‐resolution light detection and …

A Bonhage, M Eltaher, T Raab, M Breuß… - Archaeological …, 2021 - Wiley Online Library
Due to complicated backgrounds and unclear target orientation, automated object detection
is difficult in the field of archaeology. Most of the current convolutional neural network (CNN) …

Global-scale archaeological prospection using CORONA satellite imagery: Automated, crowd-sourced, and expert-led approaches

J Casana - Journal of Field Archaeology, 2020 - Taylor & Francis
Declassified CORONA satellite imagery, collected from 1960–1972 as part of the world's first
intelligence satellite program, provides nearly global, high-resolution, stereo imagery that …

Deep learning in archaeological remote sensing: Automated qanat detection in the Kurdistan region of Iraq

M Soroush, A Mehrtash, E Khazraee, JA Ur - Remote Sensing, 2020 - mdpi.com
In this paper, we report the results of our work on automated detection of qanat shafts on the
Cold War-era CORONA Satellite Imagery. The increasing quantity of air and space-borne …

Deep learning to detect built cultural heritage from satellite imagery.-Spatial distribution and size of vernacular houses in Sumba, Indonesia

F Monna, T Rolland, A Denaire, N Navarro… - Journal of Cultural …, 2021 - Elsevier
Abstract In Sumba Island–Indonesia, the implantation of vernacular houses, inside and
outside traditional villages, is considered to be an efficient proxy for the on-going complex …

Combining deep learning and location-based ranking for large-scale archaeological prospection of LiDAR data from the Netherlands

WB Verschoof-van der Vaart, K Lambers… - … International Journal of …, 2020 - mdpi.com
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

[HTML][HTML] ART-RISK 3.0 a fuzzy—based platform that combine GIS and expert assessments for conservation strategies in cultural heritage

M Moreno, R Ortiz, D Cagigas-Muñiz, J Becerra… - Journal of Cultural …, 2022 - Elsevier
Heritage preservation poses numerous difficulties, especially in emergency situations or
during budget cuts. In these contexts, having tools that facilitate efficient and rapid …

[HTML][HTML] Deep learning reveals extent of Archaic Native American shell-ring building practices

DS Davis, G Caspari, CP Lipo, MC Sanger - Journal of Archaeological …, 2021 - Elsevier
Abstract In the mid-Holocene (5000-3000 cal BP), Native American groups constructed shell
rings, a type of circular midden, in coastal areas of the American Southeast. These deposits …