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PRE AND POST LAND CONSOLIDATION LAND FRAGMENTATION ASSESSMENT

Muchova Zlatica, Leitmanova Maria, Michal Peter

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.058View metrics

Abstract

Paper describes the usage of fragmentation indexes in condition of Slovak Republic. The aim of this paper is to objectively evaluate the success of new territorial organization after land consolidation (LC) process. Four indexes of fragmentation are methodically evaluated (Shape - SI, Simmons - FI, Januszewski - K and Reduction index - RI) and endurance distance of one owner to its plots is determined in initial and new state. Thus established approaches are unique in Slovak conditions and mentioned parameters are not used in process of LC and other documentation. The comparison of situation before and after proposal of LC uses calculation of consolidation coefficient пїЅ KK and the numbers of plots per one owner пїЅ N. Calculation and comparison of fragmentation before and after LC project is realized in Ve?kпїЅ Vozokany area (988 hectares) for purposes of this article. The results indicated that new situation after LC project has brought significant decrease of land fragmentation. FI index has increased from the original to the new state by 178 % and the K index by 0.012 %. The average land area has increased by 2 ha. Average number of plots per owner was reduced from 100 to 4. Endurance distance from the municipality center to individual plots and back per one owner was reduced by 347 km. Authors of this article state that these slightly modified measurement procedures of spatial ownership fragmentation are suitable and could help in an objective assessment of the quality of the proposals presented in the LC projects.

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Publication details

Title
PRE AND POST LAND CONSOLIDATION LAND FRAGMENTATION ASSESSMENT
Authors
Muchova Zlatica, Leitmanova Maria, Michal Peter
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
461-468
SWS Citekey
Muchova20179461468
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
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