Remote Sensing of Past Human Land Use
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: closed (15 August 2021) | Viewed by 30485
Special Issue Editors
Interests: landscape archaeology; remote sensing; Near Eastern archaeology; early complex societies; settlement and land use history
Interests: landscape archaeology; remote sensing; human–environment relationships; archaeological science; Near East
Special Issue Information
Dear Colleagues,
Archaeological traces of ancient land use practices, including agricultural fields, water management features, road and route systems, ritual sites, and built environments, offer revealing evidence regarding past systems of settlement and subsistence, environmental entanglements, and perspectives on labor, gender, and power. Nevertheless, relict traces of land use practices are among the most difficult features to resolve using traditional archaeological field methods, as these ephemeral features are often preserved only as subtle differences in soil composition, topographic expression, or vegetation health. Furthermore, land use features often extend over enormous areas of the landscape, rendering them particularly susceptible to destruction through modern agriculture or urban development. Fortunately, a suite of emerging remote sensing technologies and approaches, including landscape-scale terrestrial geophysics, mutli-sensor drone-based imaging, and analysis of multi-temporal aerial and satellite imagery, are now transforming how we explore archaeological landscapes. This Special Issue showcases new research that deploys innovative approaches to archaeological remote sensing as a means to discover, document, and interpret ancient land use features.
Prof. Jesse Casana
Dr. Elise Jakoby Laugier
Guest Editors
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Keywords
- Archaeological remote sensing
- Land use history
- Landscape archaeology
- Archaeological geophysics
- Drones (UAVs)
- Satellite imagery
- Human-environment relationships
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