Remote sensing methods and techniques as a tool for the implementation of environmental legislation. The Greek Forest Law case study

Karathanassi, V; Iossifidis, Ch; Rokos, D

dc.contributor.author	Karathanassi, V	en
dc.contributor.author	Iossifidis, Ch	en
dc.contributor.author	Rokos, D	en
dc.date.accessioned	2014-03-01T01:19:29Z
dc.date.available	2014-03-01T01:19:29Z
dc.date.issued	2003	en
dc.identifier.issn	0143-1161	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15526
dc.subject	Case Study	en
dc.subject	Legislation	en
dc.subject	Remote Sensing	en
dc.subject.classification	Remote Sensing	en
dc.subject.classification	Imaging Science & Photographic Technology	en
dc.subject.other	Environmental engineering	en
dc.subject.other	Forestry	en
dc.subject.other	Image processing	en
dc.subject.other	Laws and legislation	en
dc.subject.other	Textures	en
dc.subject.other	Environmental legislation	en
dc.subject.other	Remote sensing	en
dc.subject.other	environmental legislation	en
dc.subject.other	forest	en
dc.subject.other	law enforcement	en
dc.subject.other	mapping	en
dc.subject.other	remote sensing	en
dc.subject.other	Greece	en
dc.title	Remote sensing methods and techniques as a tool for the implementation of environmental legislation. The Greek Forest Law case study	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/01431160305004	en
heal.identifier.secondary	http://dx.doi.org/10.1080/01431160305004	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	Implementation of environmental legislation can be supported by the production of maps with two information levels, one which identifies areas where a legal rule is enforced and another which identifies areas where there is an infringement of that rule. This paper investigates the efficiency of remote sensing methods and techniques for the production of such a map regarding a specific law case, the Greek Forest Law. To do this, we identified, with the use of KVR-1000 very high resolution imagery, potential illegal buildings in forests and forest areas, which were mapped at a scale of 1:5000. For this purpose, an image processing method was developed which integrates spectral and first-order texture signatures, detects disturbances in forest environment, and classifies them in order for the buildings to be identified among other disturbances. The texture signatures were selected after an investigation of the performance of first- and second-order statistical texture methods in detecting disturbances in forest environment. By the method developed, buildings are mapped by segmented parts of their edges. Based on a sample of 163 buildings, the accuracy of the method was calculated at approximately 89%, i.e. 11% of the buildings included in the sample were not detected. The map produced would probably not be acceptable in court, however it can adequately support administrative procedures in ministries, forest services, etc., regarding identification of illegal building, incorporation of forest areas in an existing city plan, organization of the forest and forest area register book, etc.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	International Journal of Remote Sensing	en
dc.identifier.doi	10.1080/01431160305004	en
dc.identifier.isi	ISI:000180624800004	en
dc.identifier.volume	24	en
dc.identifier.issue	1	en
dc.identifier.spage	39	en
dc.identifier.epage	51	en