Statistical assessment of vegetation dynamics within protected areas using remote sensing data

This study aimed to test the effectiveness of protected areas to preserve vegetation. The first step was to identify vegetation suitable areas, designed as areas with optimal morphological terrain features for a good photosynthetic activity. These areas were defined according to the following landsc...

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Main Authors: Maria Elena Menconi, David Grohmann
Format: Article
Language:English
Published: PAGEPress Publications 2013-06-01
Series:Journal of Agricultural Engineering
Subjects:
Online Access:http://www.agroengineering.org/index.php/jae/article/view/179
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spelling doaj-faaa9eec82004dbfb655ca7fd3b8a9262020-11-25T03:47:56ZengPAGEPress PublicationsJournal of Agricultural Engineering1974-70712239-62682013-06-01441e5e510.4081/jae.2013.e5167Statistical assessment of vegetation dynamics within protected areas using remote sensing dataMaria Elena Menconi0David Grohmann1Dipartimento Uomo e Territorio, Università di PerugiaDipartimento Uomo e Territorio, Università di PerugiaThis study aimed to test the effectiveness of protected areas to preserve vegetation. The first step was to identify vegetation suitable areas, designed as areas with optimal morphological terrain features for a good photosynthetic activity. These areas were defined according to the following landscape factors: slope, altitude, aspect and land use. Enhanced vegetation index (EVI) was chosen as vegetation dynamics indicator. This method is based on a statistical approach using remote sensing data in a geographic information system (GIS) environment. The correlation between EVI and landscape factor was evaluated using the frequency ratio method. Classes of landscape factors that show good correlation with a high EVI were combined to obtain vegetation suitable areas. Once identified, these areas and their vegetation dynamics were analysed by comparing the results obtained whenever these areas are included or not included in protected areas. A second EVI dataset was used to verify the accuracy in identifying vegetation suitable areas and the influence of each landscape factor considered in their identification. This validation process showed that vegetation suitable areas are significant in identifying areas with good photosynthetic activity. The effects analysis showed a positive influence of all landscape factors in determining suitability. This methodology, applied to central regions of Italy, shows that the vegetation suitable areas located inside protected areas are <em>greener</em> than those outside protected areas. This suggests that the protective measures established by the institution of the parks have proved to be effective, at least as far as the status of vegetation development is concerned.http://www.agroengineering.org/index.php/jae/article/view/179areas suitable for vegetation, enhanced vegetation index, frequency ratio, open access data, geographic information system.
collection DOAJ
language English
format Article
sources DOAJ
author Maria Elena Menconi
David Grohmann
spellingShingle Maria Elena Menconi
David Grohmann
Statistical assessment of vegetation dynamics within protected areas using remote sensing data
Journal of Agricultural Engineering
areas suitable for vegetation, enhanced vegetation index, frequency ratio, open access data, geographic information system.
author_facet Maria Elena Menconi
David Grohmann
author_sort Maria Elena Menconi
title Statistical assessment of vegetation dynamics within protected areas using remote sensing data
title_short Statistical assessment of vegetation dynamics within protected areas using remote sensing data
title_full Statistical assessment of vegetation dynamics within protected areas using remote sensing data
title_fullStr Statistical assessment of vegetation dynamics within protected areas using remote sensing data
title_full_unstemmed Statistical assessment of vegetation dynamics within protected areas using remote sensing data
title_sort statistical assessment of vegetation dynamics within protected areas using remote sensing data
publisher PAGEPress Publications
series Journal of Agricultural Engineering
issn 1974-7071
2239-6268
publishDate 2013-06-01
description This study aimed to test the effectiveness of protected areas to preserve vegetation. The first step was to identify vegetation suitable areas, designed as areas with optimal morphological terrain features for a good photosynthetic activity. These areas were defined according to the following landscape factors: slope, altitude, aspect and land use. Enhanced vegetation index (EVI) was chosen as vegetation dynamics indicator. This method is based on a statistical approach using remote sensing data in a geographic information system (GIS) environment. The correlation between EVI and landscape factor was evaluated using the frequency ratio method. Classes of landscape factors that show good correlation with a high EVI were combined to obtain vegetation suitable areas. Once identified, these areas and their vegetation dynamics were analysed by comparing the results obtained whenever these areas are included or not included in protected areas. A second EVI dataset was used to verify the accuracy in identifying vegetation suitable areas and the influence of each landscape factor considered in their identification. This validation process showed that vegetation suitable areas are significant in identifying areas with good photosynthetic activity. The effects analysis showed a positive influence of all landscape factors in determining suitability. This methodology, applied to central regions of Italy, shows that the vegetation suitable areas located inside protected areas are <em>greener</em> than those outside protected areas. This suggests that the protective measures established by the institution of the parks have proved to be effective, at least as far as the status of vegetation development is concerned.
topic areas suitable for vegetation, enhanced vegetation index, frequency ratio, open access data, geographic information system.
url http://www.agroengineering.org/index.php/jae/article/view/179
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