Fragmentation and complexity measures for the classification of landscape scenic beauty using digital ground photographs

Tsouchlaraki, A

dc.contributor.author	Tsouchlaraki, A	en
dc.date.accessioned	2014-03-01T01:24:26Z
dc.date.available	2014-03-01T01:24:26Z
dc.date.issued	2006	en
dc.identifier.issn	17435242	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17258
dc.subject	Digital ground photographs	en
dc.subject	Fragmentation and complexity measures	en
dc.subject	Geographical information systems	en
dc.subject	Landscape evaluation and classification	en
dc.subject	Landscape scenic beauty	en
dc.subject	Texture indices	en
dc.title	Fragmentation and complexity measures for the classification of landscape scenic beauty using digital ground photographs	en
heal.type	journalArticle	en
heal.identifier.primary	10.2495/ECO-V1-N2-162-179	en
heal.identifier.secondary	http://dx.doi.org/10.2495/ECO-V1-N2-162-179	en
heal.publicationDate	2006	en
heal.abstract	This study aims to investigate quantitative indices for the automatic evaluation and classification of landscape scenic quality using digital ground photographs. Research efforts to date are scarce on automated extraction of qualitative information based on photographs and therefore this study contributes in this respect, i.e. the automated quantification of landscape scenic quality. Based on the texture indices that are commonly used in landscape ecology, nine quantitative indices are selected to describe the fragmentation and complexity of the landscape, and the results from the application of these indices to a sample of ground photographs are described in this paper. Furthermore, we investigate the effectiveness of the indices selected with respect to the classification of the landscape's scenic quality, while the results are compared to the results derived from a research programme of the National Technical University of Athens. Also, as research experience has shown that texture indices are affected by data resolution, this paper investigates the influence of this factor in the calculation of the quantitative indices that are applied in digital ground photographs. Comments and suggestions for further investigation are presented. The main conclusion of the investigation is that the texture measurement indices are sensitised in the landscape's scenic quality, a fact that is positive and encouraging enough in order to pursue further research. © 2006 WIT Press.	en
heal.journalName	International Journal of Ecodynamics	en
dc.identifier.doi	10.2495/ECO-V1-N2-162-179	en
dc.identifier.volume	1	en
dc.identifier.issue	2	en
dc.identifier.spage	162	en
dc.identifier.epage	179	en