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International Journal of Remote Sensing Applications
   Journal TOC RSS feeds Export to Zotero [9 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  [46 journals]
  • Coastal Zone Mapping through Geospatial Technology for Resource Management
           of Indian Sundarban, West Bengal, India

    • Abstract: Coastal Zone Mapping through Geospatial Technology for Resource Management of Indian Sundarban, West Bengal, India
      Pages 103-112
      Author Ismail MondalJatisankar Bandyopadhya
      The West Bengal part of the Ganges-Brahmaputra delta, popularly known as the Sundarban delta, is a system where intricate estuarine and coastal processes are influenced by adjacent marine, terrestrial and meteorological systems and the dynamic interface amongst the three. Being the center of population growth, coastal sea, ponds/wetlands, estuarine islands in this area are to sustain the negative impact caused by society’s commercial, recreational, and residential activities. Additionally, natural forcing like sea level rise or climate change is a prime issue of concern for this vulnerable tract. Presently, this deltaic system is facing degradation due to natural and anthropogenic causes. Degradation of this littoral tract is manifested in terms of frequent embankment failures, submergence & flooding, beach erosion, siltation within embankment, saline water intrusion in the agricultural field etc. In the above perspective, viable coastal zone management options are to be adopted based on scientific approach retaining socio-economic use of the coastal zone complying with preservation of resources and nature values. Knowledge and understanding of coastal morph dynamic behavior as well as middle to long-term developments therein is essential in this respect. Lack of data pertaining to this coast makes the task all the more difficult than expected and restricts proper estimation of impacts to be caused by the different coastal variables. The present study is aimed at predicting evolution of Sundarbans estuary located at the mouth of Bay of Bengal by a set of physical mathematical model through extrapolation of observed morphological behavior of erosion-accretion. The long term goal of this study is to identify the coupling amongst the coastal processes and mainly two dimensional evolutions (shoreline change) of the form of deltaic island system of West Bengal with special reference to sea level rise which in turn is guided by climate change. This study is carried out so that a greater degree of certainty can be achieved while applying the output as a blue print for the coastal managers and planners for this vulnerable niche. The coastal zone is under heavy pressure from land-based activities located in the catchment of rivers. Traditionally, both scientific research and framework have treated catchments and coasts as separate entities. However, it is increasingly recognized that they should in fact be treated as an integrated whole, encompassing both environmental and socio economic and political systems.
      PubDate: 2014-06-04
       
  • Pedestrian Safety Modelling and Analysis Using GIS in Chennai

    • Abstract: Pedestrian Safety Modelling and Analysis Using GIS in Chennai
      Pages 97-102
      Author Anil Kumar MisraRohith P PoyilR Murugasa
      This paper analyzes the various variables affecting pedestrian road crashes, placing emphasis on the effect of daily activity patterns and the built environment, including the land use of the places. Study also develops a level of safety model in terms of number of pedestrian accidents in Chennai. First, eleven potential factors influencing pedestrian level of safety are summarized: width of road, width of sidewalk, average running speed of vehicles, vehicular volume, pedestrian volume, percentage of sidewalk area encroached, presence of crossing facilities, sight distance, pedestrian refuge and median, lightings and curb. The selected roads are typical of those prevalent in urban areas of Chennai. With the survey data, a stepwise regression analyses are carried out to develop a reliable pedestrian level of safety model for road segments, suitable for use in the vast majority of Indian urban areas. The study reveals that the factors significantly influencing pedestrian level of safety at road segments including width of sidewalk, average running speed of vehicles, percentage of sidewalk area encroached, presence of pedestrian refuge and median, lightings and curb. A model to predict the pedestrian safety level in terms of number of pedestrian accidents is developed in this study using regression analysis and integrated with GIS to produce a colour coded maps showing the predicted number of pedestrian accidents. The validation has been done by comparing the predicted number of pedestrian accidents with actual number of pedestrian accidents occurred.
      PubDate: 2014-06-04
       
  • High Spatial-Resolution Land Cover Classification and Wetland Mapping over
           Large Areas Using Integrated Geospatial Technologies

    • Abstract: High Spatial-Resolution Land Cover Classification and Wetland Mapping over Large Areas Using Integrated Geospatial Technologies
      Pages 71-86
      Author Fei YuanPhilipp NagelBradley J. Coo
      Land Use and Land Cover (LULC) and wetland classification maps are an important prerequisite for many environmental studies. In order to produce accurate LULC and wetland maps at high spatial-resolution, a new approach was developed to integrate image classifications, spatial data layers, and analysis methods using Python scripting. Both Maximum Likelihood and Object-based Feature Extraction were adopted into the LULC classification. A spatial analysis approach was applied to wetland mapping based on available wetland inventories and soil data. Python scripts were created and used to automate these processes for each of the 30 reference sites across Minnesota and Wisconsin of the United States, which encompassed the entire study site. Results demonstrated that the proposed method allowed for the integration of geospatial data of varying sources and qualities to produce accurate LULC and wetland maps effectively. The results of accuracy assessment indicated that the classification maps for Minnesota and Wisconsin were of comparable quality. The object-based classifier extracted LULC effectively from the Wisconsin imagery with acceptable accuracy despite lacking of the NIR spectral band. These maps were used as inputs to create a hydro geomorphicap-proach (HGM) guidebook (Hauer and Smith 1998) for both states (Cook et al. unpublished). The Python-based technique was found to be especially beneficial when dealing with big datasets over large study areas, as it allowed batch processing.
      PubDate: 2014-06-04
       
  • A Novel and Compact Ku-band Sensor for Polarimetric SAR Systems Placed in
           UAVs: Development and System Performances

    • Abstract: A Novel and Compact Ku-band Sensor for Polarimetric SAR Systems Placed in UAVs: Development and System Performances
      Pages 87-96
      Author S. Sánchez-SevillejaA. Arenas-PingarrónJ. Del Castillo-MenaJ.R. Larrañaga-Sudup
      A new compact Ku band patch array antenna with dual linear polarization and excellet isolation values have been designed, implemented and measured. The antenna is placed in a new no-tripulated UAV platform. This platform is smaller than the last one used by INTA in which others no-compact prototypes were placed in. A lot of advantages have been achieved with this smaller and compact new system. Two antenna prototypes have been designed and manufactured in Ku-band. Both designs have improved some important characteristics compared with the previous and bigger one developed by INTA in X-band. The new prototypes focus the work on RF components miniaturization, isolation between polarizations (
      PubDate: 2014-06-04
       
 
 
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