Satellite Earth observation data in the visible and near-infrared (VNIR) wavelengths represent a useful source of information for forest systems monitoring through derived biogeophysical parameters (vegetation index, leaf area index, canopy cover, fraction of absorbed photosynthetically active radiation, chlorophyll content, net primary production, canopy water stress, etc.). Use of satellite remote sensing data to assess forest spatio-temporal changes due to climatic or anthropogenic stressors is an excellent example of the value of multispectral and multitemporal observations. Fusion technique was applied to time-series multispectral and multitemporal satellite imagery (NOAA AVHRR, MODIS Terra/Aqua, Landsat ETM and IKONOS satellite data) for periurban forest areas Cernica-Branesti, placed in the neighboring of Bucharest town, Romania, over 2002-2014 period.
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25 March 2016
9TH INTERNATIONAL PHYSICS CONFERENCE OF THE BALKAN PHYSICAL UNION (BPU-9)
24–27 August 2015
Istanbul, Turkey
Research Article|
March 25 2016
Satellite Earth observation data to identify climate and anthropogenic pressures on Bucharest periurban forests Available to Purchase
Maria Zoran;
Maria Zoran
1
National Institute of R&D for Optoelectronics
, MG5 Bucharest-Magurele, 077125 Romania
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Roxana Savastru;
Roxana Savastru
1
National Institute of R&D for Optoelectronics
, MG5 Bucharest-Magurele, 077125 Romania
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Dan Savastru;
Dan Savastru
1
National Institute of R&D for Optoelectronics
, MG5 Bucharest-Magurele, 077125 Romania
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Adrian Dida
Adrian Dida
2
University Transylvania of Brasov
, Brasov, Romania
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Maria Zoran
1
Roxana Savastru
1
Dan Savastru
1
Adrian Dida
2
1
National Institute of R&D for Optoelectronics
, MG5 Bucharest-Magurele, 077125 Romania
2
University Transylvania of Brasov
, Brasov, Romania
AIP Conf. Proc. 1722, 270007 (2016)
Citation
Maria Zoran, Roxana Savastru, Dan Savastru, Adrian Dida; Satellite Earth observation data to identify climate and anthropogenic pressures on Bucharest periurban forests. AIP Conf. Proc. 25 March 2016; 1722 (1): 270007. https://doi.org/10.1063/1.4944279
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