Opitz, R., Baldwin, E. E., De Smedt, P. P., Verhegge, J., Campana, S., Mayoral-Herrera, V., Powlesland, D., Vieri, M., Perna, C. and Sarri, D. (2023). Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management - Impasses and opportunities for collaboration in agricultural areas. Internet Archaeology 62. https://doi.org/10.11141/ia.62.10.

Title
Title
The title of the publication or report
Title:
Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management - Impasses and opportunities for collaboration in agricultural areas
Issue
Issue
The name of the volume or issue
Issue:
Internet Archaeology 62
Series
Series
The series the publication or report is included in
Series:
Internet Archaeology
Biblio Note
Biblio Note
This is a Bibliographic record only.
Biblio Note
The ADS have no files for download on this page but further information is available online, normally as an electronic version maintained by the Publisher, or held in a larger collection such as an ADS Archive. Please refer to the DOI or URI listed in the Relations section of this record to locate the information you require. In the case of non-ADS resources, please be aware that we cannot advise further on availability.
Licence Type
Licence Type
ADS, CC-BY 4.0 or CC-BY 4.0 NC.
Licence Type:
Creative Commons Attribution 3.0 International Licence icon
Creative Commons Attribution 3.0
International Licence
Publication Type
Publication Type
The type of publication - report, monograph, journal article or chapter from a book
Publication Type:
Journal
Abstract
Abstract
The abstract describing the content of the publication or report
Abstract:
Remote and near surface sensing data are widely used in archaeology and heritage management for feature discovery, change detection and monitoring, as an input to predictive modelling, and in the planning process. While global and regional datasets are widely used for some purposes, data are regularly acquired specifically for archaeological projects because of the very high spatial resolution required for feature detection and assessments of archaeological significance and the need for data on subsurface features. The sensing data collected for archaeology cover limited areas and only a few types of sensors, known to produce data efficiently, are regularly employed. Precision agriculture is beginning to produce large quantities of varied sensing data across extensive landscape areas. This situation creates an opportunity to adapt and reuse precision agricultural data for archaeology and heritage work, extending covering and enhancing our understanding of archaeology in contemporary agricultural landscapes. Equally, there is potential for coordinated data collection, collecting data once for multiple applications, and to add value through analyses which bring together perspectives from multiple related domains to model long-term processes in anthropogenic soil systems. This article provides a high-level overview of policy and technological developments which create the potential for sensing data reuse, coordinated data collection, and collaborative analyses across archaeological, agricultural, and agri-environmental applications while underscoring the structural barriers which, at present, constrain this potential. It highlights examples where the development of interoperable data and workflows can promote tighter integration of archaeology and cultural heritage management with sustainable agricultural land management and support integrated decision making.
Author
Author
The authors of this publication or report
Author:
Eamonn E Baldwin
Rachel Opitz ORCID icon
Philippe P De Smedt
Jeroen Verhegge
Stefano Campana
Victorino Mayoral-Herrera
Dominic Powlesland
Marco Vieri
Carolina Perna
Daniele Sarri
Year of Publication
Year of Publication
The year the book, article or report was published
Year of Publication:
2023
Locations
Locations
Any locations covered by the publication or report. This is not the place the book or report was published.
Subjects / Periods:
archaeology (LCSH)
environment (LCSH)
heritage (LCSH)
landscape (LCSH)
biodiversity (LCSH)
remote sensing (LCSH)
geophysics (LCSH)
sustainability (LCSH)
land management (LCSH)
Source
Source
Where the record has come from or which dataset it was orginally included in.
Source:
Source icon
ADS Library (ADS Library)
Relations
Relations
Other resources which are relevant to this publication or report
Relations:
DOI: https://doi.org/10.11141/ia.62.10
Created Date
Created Date
The date the record of the pubication was first entered
Created Date:
27 Mar 2023