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Proceedings Paper

Vegetation cover quality assessment through MODIS time series satellite data in an urban region
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Paper Abstract

To preserve urban vegetation land cover quality and mitigate its degradation is an important task for urban planning and environmental management of Bucharest metropolitan area in Romania. Since vegetation land cover dynamics directly affect the urban landscape characteristics and air quality, remote sensing represents an effective tool for vegetation land cover quality assessment at regional scale. In particular, the use of satellite-based vegetation indices, like the NDVI (Normalized Difference Vegetation Index), can provide important information when evaluating Urban Vegetation Cover Quality (UVCQ) patterns in urban areas, which represents one of the most sensitive landscape components to urban environmental degradation. This paper proposes an approach for the regional-scale assessment of UVCQ by means of an NDVI-based (functional) indicator using freely available time series MODIS Terra/Aqua (Moderate Resolution Imaging Spectroradiometer) satellite data. As a case study, Bucharest metropolitan area landscape experiencing climate and anthropogenic changes, increasing human pressure and high vulnerability to degradation was chosen. As UVCQ indicator, the NDVI-based vegetation cover classification was produced by means of unsupervised multivariate statistical techniques and compared with spatio-temporal changes during 2002-2012 period, statistical indicators, and field data related to land cover management observed in the study area. Results demonstrate that the obtained remotely sensed vegetation land cover characterization can be effectively considered as a proxy of the UVCQ status of the examined area. Due to the large availability over time and low cost of satellite images, the proposed approach can be applied to wider urban/periurban regions, to monitor vegetation quality and indirectly control vegetation land degradation.

Paper Details

Date Published: 5 August 2013
PDF: 10 pages
Proc. SPIE 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), 87951Z (5 August 2013); doi: 10.1117/12.2028843
Show Author Affiliations
M. A. Zoran, National Institute of Research and Development for Optoelectronics (Romania)
R. S. Savastru, National Institute of Research and Development for Optoelectronics (Romania)
D. M. Savastru, National Institute of Research and Development for Optoelectronics (Romania)
G. M. Pavelescu, National Institute of Research and Development for Optoelectronics (Romania)
M. N. Tautan, National Institute of Research and Development for Optoelectronics (Romania)
S. I Miclos, National Institute of Research and Development for Optoelectronics (Romania)
L. A. Baschir, National Institute of Research and Development for Optoelectronics (Romania)


Published in SPIE Proceedings Vol. 8795:
First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013)
Diofantos G. Hadjimitsis; Kyriacos Themistocleous; Silas Michaelides; George Papadavid, Editor(s)

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