The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians

Spatial planning in mountainous areas requires careful consideration of relationships between abiotic conditions and various ecosystem properties. While detailed spatial databases of these and also detailed ecological databases built on field data are still lacking for many regions, satellite data a...

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Main Author: Mkrtchian Alexander
Format: Article
Language:English
Published: Sciendo 2013-08-01
Series:Ekológia (Bratislava)
Subjects:
Online Access:https://doi.org/10.2478/eko-2013-0007
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spelling doaj-e22f261e53c943588cf404468220d4272021-09-05T21:00:46ZengSciendoEkológia (Bratislava)1337-947X2013-08-01321879410.2478/eko-2013-0007The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian CarpathiansMkrtchian Alexander0Vol. Velykoho st. 63/371, Lviv 79053, UkraineSpatial planning in mountainous areas requires careful consideration of relationships between abiotic conditions and various ecosystem properties. While detailed spatial databases of these and also detailed ecological databases built on field data are still lacking for many regions, satellite data are an indispensable source of spatially distributed detailed ecological information. Digital elevation models and multi-spectral images are especially useful for the acquisition of detailed, up-to-date and cheap spatial data. In this study, principal component analysis and canonical correlation analysis were used to reveal the structure of the relationships between the land surface reflectance values in different wavelength ranges and to investigate relationships between the principal components and the set of topographic characteristics and indexes for the study area in the Ukrainian Carpathians. The most important factor that influences the land and vegetation cover structure was found to be elevation, while other factors included a set of topographic characteristics and indices.https://doi.org/10.2478/eko-2013-0007multispectral imagerydigital elevation modelsndvitopographic variables
collection DOAJ
language English
format Article
sources DOAJ
author Mkrtchian Alexander
spellingShingle Mkrtchian Alexander
The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians
Ekológia (Bratislava)
multispectral imagery
digital elevation models
ndvi
topographic variables
author_facet Mkrtchian Alexander
author_sort Mkrtchian Alexander
title The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians
title_short The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians
title_full The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians
title_fullStr The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians
title_full_unstemmed The relations between land surface morphometry and spectral characteristics of ecosystems in the Ukrainian Carpathians
title_sort relations between land surface morphometry and spectral characteristics of ecosystems in the ukrainian carpathians
publisher Sciendo
series Ekológia (Bratislava)
issn 1337-947X
publishDate 2013-08-01
description Spatial planning in mountainous areas requires careful consideration of relationships between abiotic conditions and various ecosystem properties. While detailed spatial databases of these and also detailed ecological databases built on field data are still lacking for many regions, satellite data are an indispensable source of spatially distributed detailed ecological information. Digital elevation models and multi-spectral images are especially useful for the acquisition of detailed, up-to-date and cheap spatial data. In this study, principal component analysis and canonical correlation analysis were used to reveal the structure of the relationships between the land surface reflectance values in different wavelength ranges and to investigate relationships between the principal components and the set of topographic characteristics and indexes for the study area in the Ukrainian Carpathians. The most important factor that influences the land and vegetation cover structure was found to be elevation, while other factors included a set of topographic characteristics and indices.
topic multispectral imagery
digital elevation models
ndvi
topographic variables
url https://doi.org/10.2478/eko-2013-0007
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