The effectiveness of richness, diversity and dominance textural indices when applied on digital ground photographs using a GIS for landscape visual analysis purposes

Tsouchlaraki, A

dc.contributor.author	Tsouchlaraki, A	en
dc.date.accessioned	2014-03-01T01:56:22Z
dc.date.available	2014-03-01T01:56:22Z
dc.date.issued	2007	en
dc.identifier.issn	10106049	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28089
dc.subject	Digital ground photographs	en
dc.subject	Geographical information systems	en
dc.subject	Landscape evaluation and classification	en
dc.subject	Landscape visual analysis	en
dc.subject	Scenic beauty	en
dc.subject	Texture indices	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Image analysis	en
dc.subject.other	Photography	en
dc.subject.other	digital photogrammetry	en
dc.subject.other	GIS	en
dc.subject.other	image classification	en
dc.subject.other	landscape ecology	en
dc.subject.other	texture	en
dc.subject.other	visualization	en
dc.title	The effectiveness of richness, diversity and dominance textural indices when applied on digital ground photographs using a GIS for landscape visual analysis purposes	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/10106040701204370	en
heal.identifier.secondary	http://dx.doi.org/10.1080/10106040701204370	en
heal.publicationDate	2007	en
heal.abstract	This study aims to investigate the effectiveness of three main textural indices for the automatic evaluation and classification of landscape scenic quality using digital ground photographs. Based on the textural indices that are commonly used in landscape ecology, the richness, diversity and dominance indices were selected to be examined, and the results from the application of these indices to a sample of ground photographs are described in this paper. The application of the textural indices to the sample of photographs takes place in two different ways, using a geographic information system (GIS) that aims to describe the general and partial heterogeneity of the landscape appearing in each photograph. Furthermore, we investigate the effectiveness of the indices selected as to the classification of the landscape's scenic quality, with the results being compared to other results derived from a research programme of the National Technical University of Athens. Comments and suggestions are presented for further investigation. The main conclusion of the investigation is that the texture indices are sensitized in the landscape's scenic quality, a fact that is positive and encourages the pursuit of further research.	en
heal.journalName	Geocarto International	en
dc.identifier.doi	10.1080/10106040701204370	en
dc.identifier.volume	22	en
dc.identifier.issue	3	en
dc.identifier.spage	205	en
dc.identifier.epage	217	en