Title
Small Baseline Subset (Sbas) Pixel Density Vs. Geology And Land Use In Semi-Arid Regions In Syria
Abstract
36 ENVISAT ASAR images acquired in 2002 to 2010 along descending passes with nominal revisiting time of 35 days were processed over the whole region of Homs, western Syria, by implementing the low-pass Small Baseline Subset (SBAS) technique. More than 280,000 coherent pixels with similar to 100m ground resolution were obtained. We analysed pixel spatial distribution in respect of local geology and land use, to assess to what extent these factors can influence the performance of an interferometric deformation analysis in semi-arid environment. Filtering out the amount of pixels associated with the urban fabric of Homs and surrounding villages, it is apparent that limestone and marl units are less prone to generate coherent pixels if compared with the basalt units in the north-western sector of the processed region. The latter resulted in pixel density of similar to 50-60 pixels/km(2), which is comparable with that found over urban settlements and man-made structures.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Small BAseline Subset (SBAS), pixel density, land use, land cover, geology, Syria
Field
DocType
ISSN
Pixel density,Arid,Synthetic aperture radar,Remote sensing,GNSS augmentation,Pixel,Geology,Marl,Land use,Spatial distribution
Conference
2153-6996
Citations 
PageRank 
References 
1
0.44
2
Authors
4
Name
Order
Citations
PageRank
Deodato Tapete1239.07
Francesca Cigna25313.05
Andrew Sowter3265.22
Stuart H. Marsh4213.27