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You are here: Home » Past Issues » Volume 10, 2015 - Number 2 » FOREST ENVIRONMENT MONITORING IN THE OCNELE MARI AREA USING SYNTHETIC APERTURE RADAR DATA


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Violeta POENARU1,2, Alexandru BADEA1 & Sorin CIMPEANU2
1Romanian Space Agency, Space Applications Department, 010362, Bucharest, Sector 1, 21-25 Mendeleev, Romania, violeta.poenaru@rosa.ro, alexandru.badea@rosa.ro
2University of Agronomic Science and Veterinary Medicine, 011464, Bucharest, Bulevardul MARASTI nr. 59, Romania, mscimpeanu@yahoo.fr

FOREST ENVIRONMENT MONITORING IN THE OCNELE MARI AREA USING SYNTHETIC APERTURE RADAR DATA

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Abstract:

Monitoring of the environmental impact of mines is important for the evaluation of the land and vegetation cover degradation, water pollution, destruction and disturbance of ecosystems and habitats. Ocnele Mari salt mine area is one of the disused mine affected by degradation phenomena with direct impact of environment and human health. The paper investigates Synthetic Aperture Radar techniques capabilities to monitor forest environment in the Ocnele Mari salt mining area. The presence of vegetation in the area monitored through interferometric techniques leads to the decrease in correlation between data acquisitions which translate into lower coherence values. Persistent scatterer interferometry analysis is performed to estimate the phase of stable natural reflectors for land deformation assessment. The PSInSAR results confirm the leveling measurements: a decreasing trend in subsidence rate (about few millimeter/year) is observed. The coherence change detection approaches reveals that land changes can be observed in urban and non-vegetated areas while the amplitude change detection is less sensitive to subtle changes and provides valuable information about vegetation stage and moisture content. Polarimetric SAR interferometry analysis is performed to estimate forest height. The extracted heights from RADARSAT-2 data images vary between 18 and 60 m whereby heights above 50 m occur more frequently in far range.


Keyword: Vegetation land cover, land degradation, forest height estimation, PSInSAR, PolInSAR, Ocnele Mari


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