The landscape, understood as the manifestation of the link that identifies each society with
the space where it develops, brings us closer to the territory from a richer and more …

Recent literature is increasingly highlighting the role of individual behaviours for tackling
societal challenges like Climate Change. Indeed, the largest source of global greenhouse …

Agricultural land abandonment is a globally significant threat to the sustenance of economic,
ecological, and social balance. Although the driving forces behind it can be multifold and …

In this study, historical maps and orthophotos were used as a baseline to establish the
vulnerability of cultural heritage (CH) sites to natural and anthropic elements as a tool for …

Unlocking data from historical maps for landscape analysis is costly. Automatic extraction
using Machine Learning (ML) requires extensive preparation and expertise. Crowdsourcing …

The aim of this paper is to create and present a new archaeological predictive model via
GIS, incorporating what archaeologists consider the most important criterion absent of …

This study tests the use of Frequency Ratio (FR), Statistical Index (Wi), and Binary Logistic
Regression (BLR) methods for establishing predictive maps for Iron Age sites in the Bekaa …

Purpose This paper provides practical advice for archaeologists and heritage specialists
wishing to use ML approaches to identify archaeological features in high-resolution satellite …

This paper illustrates the current state of Thracian mounds in Bulgaria, reviewing its theory
and practice from a new heritage perspective, grounded in the field of Heritage studies. It …

During a two‐week campaign in 2017, we verified burial mounds from 40‐year‐old Soviet
topographic maps covering the northern part of the Yambol province, southeast Bulgaria …