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NORMALIZED DIFFERENCE VEGETATION INDEX IN -VERTICAL- ANALYSIS OF GRASSLANDS

Luminita Cojocariu, Loredana Copacean, Cosmin Popescu, Despina - Maria Bordean

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s11.078View metrics

Abstract

The relief, as genetic factor and пїЅsupportпїЅ on which the grassland areas are engrafted on, may be equally considered the major decisive element for vegetationпїЅs type, aspect and consistency, through altitude, slope and orientation. This study will highlight the influence exerted on grassland areas by relief factors, in mountain and sub-mountain regions, and subsequently it will determine the differentiated landscaping пїЅnormsпїЅ in concordance with the singularity of each analyzed sector. The grassland assessment will rely on the calculation of the Normalized Difference Vegetation Index (NDVI). According to the Digital Elevation Model (DEM), and also to the observations and measurements in field, we will determine the altitude intervals and the characteristic parametres, achieving a NDVI value flooring.The values obtained will be quantitatively and qualitatively analyzed with Geographical Informatic Systems (GIS) and remote sensing techniques, to capture the changes that occur with changing environmental conditions. Since the researches are carried out in mountainous and hills regions, grasslands, as non-homogenous spatial entities, may present significant differences and therefore it is important to respect their defining elements, during landscaping and exploitation, in concordance with the physical-geographical particularities of each subarea.

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Publication details

Title
NORMALIZED DIFFERENCE VEGETATION INDEX IN -VERTICAL- ANALYSIS OF GRASSLANDS
Authors
Luminita Cojocariu, Loredana Copacean, Cosmin Popescu, Despina - Maria Bordean
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
625-632
SWS Citekey
Cojocariu201711625632
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
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