for Journals by Title or ISSN
for Articles by Keywords
help
Followed Journals
Journal you Follow: 0
 
Sign Up to follow journals, search in your chosen journals and, optionally, receive Email Alerts when new issues of your Followed Jurnals are published.
Already have an account? Sign In to see the journals you follow.
Journal Cover   International Journal of Remote Sensing Applications
  [7 followers]  Follow
    
  This is an Open Access Journal Open Access journal
   ISSN (Print) 2226-4361 - ISSN (Online) 2226-4353
   Published by Science and Engineering Publishing Company Homepage  [47 journals]
  • Seasonal and Spatial Variability of SST Using MODIS Data: the Case Study
           of Aegean Sea

    • Abstract: Seasonal and Spatial Variability of SST Using MODIS Data: the Case Study of Aegean Sea
      Pages 25-32
      Author Kontsantinos TopouzelisStefani VarnavaAndreas Georgio
      This paper focuses on the analysis of spatial and temporal variability of Sea Surface Temperature (SST) derived from Aqua Moderate Imaging Spectrometer (MODIS) infrared imagery in the Aegean Sea. Data were organized to examine both seasonal and monthly variation of SST during 2005 - 2008. The four year period was chosen as a first approach to address and describe this phenomenon. A descriptive statistical analysis was performed, while hot spots and SST anomalies for each month and season were identified. The results show a smooth monthly variation of SST with February to be the coldest month while July the hottest as expected. The year with the higher average SST value was 2007 with 25.1oC while 2006 presents the minimum average value. In addition, the high resolution maps of 1 km that extracted from the analysis with a wide spatial coverage, allows to the detail representation of SST in the region. This helps to produce a rich eddy field and it allows monitoring the outflow of Black Sea Waters through the Dardanelles Strait.
      PubDate: 2015-0
       
  • High-Resolution Imaging for Impulse-Based Forward-Looking Ground
           Penetrating Radar

    • Abstract: High-Resolution Imaging for Impulse-Based Forward-Looking Ground Penetrating Radar
      Pages 11-24
      Author Ode OjowuLuzhou XuJian LiJohn AndersonLam Nguye
      Forward-Looking Ground Penetrating Radar (FLGPR) has multiple applications, one of which includes its use for detecting landmines and other buried improvised explosive devices (IEDs). The standard method for generating synthetic aperture radar (SAR) images for this radar is the backprojection (BP) algorithm, which has poor resolution and high sidelobe problems. In this paper, we consider using the Sparse Iterative Covariance-based Estimation (SPICE) algorithm and the Spare Learning via Iterative Minimization (SLIM) algorithm for generating sparse high-resolution images for FLGPR. A pre-processing step, which involves an orthogonal projection of the received data onto a subspace related to the region of interest is performed, for decreasing the dimension of the data and for clutter reduction. The SLIM and SPICE algorithms are user-parameter free, and are capable of providing SAR images with improved resolution. We also use the well-known CLEAN approach for imaging based on a proposed signal model in the time domain. We show using simulated data that the SPICE and SLIM algorithms provide higher resolution than CLEAN and the standard BP. Imaging using real data collected via the Synchronous Impulse Reconstruction (SIRE) radar, a multiple-input multiple-output (MIMO) FLGPR radar developed by the Army Research Laboratory (ARL), is also presented and used for analysis.
      PubDate: 2015-0
       
  • Morphodynamic Change of Fraserganj and Bakkhali Coastal Stretch of Indian
           Sundarban, South 24 Parganas, West Bengal, India

    • Abstract: Morphodynamic Change of Fraserganj and Bakkhali Coastal Stretch of Indian Sundarban, South 24 Parganas, West Bengal, India
      Pages 1-10
      Author Ismail MondalJatisankar BandyopadhyayParthasarathi ChakrabartiDebasish Santr
      The Bengal plain is characterized by the presence of an extensive coastal tract bordered by the Bay of Bengal in the south. Two contrasting coastal environments are prevailing in the area, namely; the macro tidal Hooghly estuary in the east; and the mesotidal Midnapore Coastal plain to the west. A morphogenetic study based on the terrain mapping unit (TMU) concept reveals the form- process-material interactions of these two contrasting coastal environments with a possible geo-history model of the coastal Quaternaries. It has been established that the entire process-response system of the coastal tract of the Bengal plain started operating after the rise of sea level around 6000yrs B.P. (i.e., optimum of flandrian transgression) and the Hooghly estuary, the mangrove vegetation plays a significant role as the dominant geomorphic agent in the evolution of the tidal shoals and their eventual accretion to the main landmass resulting in delta progradation. In the present-day scenario, the Hooghly estuary becomes the abandoned part of the Ganga-Brahmaputra delta in India, and is also turning destructive and forming erosional regime in the mesotidal Midnapore coastal area.
      PubDate: 2015-0
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-2015