Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/4480
Title: | Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks | Authors: | Alexakis, Dimitrios Hadjimitsis, Diofantos G. Agapiou, Athos |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Keywords: | Spectroscopy;Archaeology--Remote sensing;Archaeology;Open access publishing | Issue Date: | 7-Dec-2012 | Source: | Remote Sensing, 2012, vol. 4, no.12, pp. 3892-3919 | Volume: | 4 | Issue: | 12 | Start page: | 3892 | End page: | 3919 | Journal: | Remote Sensing | Abstract: | Several studies in the past have examined the spectral capability of multispectral and hyperspectral imagery for the identification of crop marks, while recent studies have applied different vegetation indices in order to support remote sensing archaeological applications. However, the use of vegetation indices for the detection of crop marks lacks in accuracy assessment and critical evaluation. In this study, 71 vegetation indices were indexed, from the relevant bibliography, and evaluated for their potential to detect such crop marks. During this study, several ground spectroradiometric campaigns took place, in a controlled archaeological environment in Cyprus, cultivated with barley crops, during a complete phenological cycle (2011-2012). All vegetation indices, both broadband and narrowband, were evaluated for their separability performance, and the results were presented through tables and diagrams. In the end, the use of more than one vegetation index is suggested in order to enhance the final results. In fact, several not widely used vegetation indices are suggested and evaluated using both Landsat TM and EO-1 Hyperion images | URI: | https://hdl.handle.net/20.500.14279/4480 | ISSN: | 20724292 | DOI: | 10.3390/rs4123892 | Rights: | @ 2012, Remote Sens Attribution-NonCommercial-NoDerivs 3.0 United States |
Type: | Article | Affiliation : | Cyprus University of Technology |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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remotesensing-04-03892[1].pdf | 1.89 MB | Adobe PDF | View/Open |
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