Lasaponara, R. and Masini, N. (2007). Detection of archaeological crop marks by using satellite QuickBird multispectral imagery. J Archaeol Sci 34 (2). Vol 34(2), pp. 214-221.

Title
Title
The title of the publication or report
Title:
Detection of archaeological crop marks by using satellite QuickBird multispectral imagery
Issue
Issue
The name of the volume or issue
Issue:
J Archaeol Sci 34 (2)
Series
Series
The series the publication or report is included in
Series:
Journal of Archaeological Science
Volume
Volume
Volume number and part
Volume:
34 (2)
Page Start/End
Page Start/End
The start and end page numbers.
Page Start/End:
214 - 221
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.
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:
The capability of satellite QuickBird imagery for the identification of archaeological crop marks is presented and discussed for two test sites located in the south of Italy. The selected sites, dating back to Middle Ages, were buried under surfaces covered by herbaceous plants characterized by a different phenological status (dry/green) when the satellite data were acquired. The methodological approach adopted for the enhancement and extraction of crop marks is mainly based on the use of data fusion and edge detection algorithm. The main remarkable differences found for the two archaeological sites can be suitably linked to the different state of vegetation that caused a different spectral response. In particular, near infrared (NIR) spectral channel was able to enhance crop marks observed for dry vegetation, whereas Normalized Difference Vegetation Index (NDVI) was found to be more capable of enhancing crop marks observed for green vegetation.
Author
Author
The authors of this publication or report
Author:
Rosa Lasaponara
Nicola Masini
Year of Publication
Year of Publication
The year the book, article or report was published
Year of Publication:
2007
Locations
Locations
Any locations covered by the publication or report. This is not the place the book or report was published.
Subjects / Periods:
Archaeological Crop Marks (Auto Detected Subject)
Crop Marks (Auto Detected Subject)
Source
Source
Where the record has come from or which dataset it was orginally included in.
Source:
Source icon
BIAB (The British & Irish Archaeological Bibliography (BIAB))
Relations
Relations
Other resources which are relevant to this publication or report
Relations:
URI: http://www.sciencedirect.com/science/journal/03054403
Created Date
Created Date
The date the record of the pubication was first entered
Created Date:
22 Jan 2007