Acta Botanica Hungarica
Volume/Issue:
Volume 52: Issue 1-2
The reconstruction of vegetation change in Nyíres-tó mire (ne Hungary): An image-segmentation study
Authors: D. Cserhalmi 1 , J. Nagy 2 , D. Neidert 3 , and D. Kristóf 4
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  • 1 Szent István University Department of Botany, Institute for Biology, Faculty of Veterinary Science H-1077 Budapest Rottenbiller u. 50 Hungary
  • 2 Szent István University Institute of Botany and Ecophysiology, Faculty of Environmental and Agricultural Sciences H-2103 Gödöllő Páter K. u. 1 Hungary
  • 3 Plant Protection Institute HAS Department of Zoology H-1029 Budapest Adyliget Nagykovácsi u. 26-30 Hungary
  • 4 Cartography and Remote Sensing (FÖMI) Institute of Geodesy H-1149 Budapest Bosnyák tér 5 Hungary
DOI:
https://doi.org/10.1556/abot.52.2010.1-2.e1
Page Count:
89–102
Publication Date:
01 Mar 2010
Online Publication Date:
19 Sep 2009
Article Category:
Research Article
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The study area is the peaty bed of Nyíres-tó mire which is situated in the northeastern Alföld on the Bereg Plain. For this paper we used a digital photo interpretation method with which we reconstructed the former vegetation from black and white aerial photos, and made chronosequence of vegetation maps. The image segmentation method dissolves the photo into different objects (segments) by spectral and textural parameters. The segments consist of similar pixels, representing a unique ground object. We made the segmentation with the Definiens Inc. eCognition software. The stability of the mire was calculated with GRID-files. The historical vegetation maps show, that after many arid years, the tree or shrub dominant associations increased until the eighties. Later, the sufficient precipitation and the artificial flooding stabilised the tree covering. The analysis of GRID-files shown, that 45.77% of the pixels get code 1 (stable), 44.32% get code 2 (slightly changeable) and only 9.91% get code 3 (changeable). It means that almost half of the mire’s vegetation is the same as in 1952.

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Cover Acta Botanica Hungarica
Acta Botanica Hungarica
Print ISSN:
0236-6495
Online ISSN:
1588-2578
Keywords:
aerial photo; Bereg Plain; eCognition; image interpretation; Sphagnum

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