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Publisher: STM Journals   (Total: 67 journals)   [Sort by number of followers]

Showing 1 - 67 of 67 Journals sorted alphabetically
Current Trends in Information Technology     Full-text available via subscription   (Followers: 3)
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J. of Advancements in Library Sciences     Open Access   (Followers: 44)
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J. of AYUSH :- Ayurveda, Yoga, Unani, Siddha and Homeopathy     Full-text available via subscription   (Followers: 9)
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J. of Remote Sensing & GIS     Full-text available via subscription   (Followers: 23)
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OmniScience : A Multi-disciplinary J.     Full-text available via subscription   (Followers: 2)
Recent Trends In Civil Engineering & Technology     Full-text available via subscription   (Followers: 5)
Research & Reviews : A J. of Bioinformatics     Full-text available via subscription   (Followers: 3)
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Journal Cover
Journal of Remote Sensing & GIS
Number of Followers: 23  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 2230-7990 - ISSN (Online) 2321-421X
Published by STM Journals Homepage  [67 journals]
  • Landuse and Landcover analysis using Remote Sensing and GIS: A case study
           in parts of Kadapa District, Andhra Pradesh, India.
    • Authors: Rajasekhar M, Sudarsana Raju G, Siddi Raju R, Padmavathi A, Balaram Naik B
      Pages: 1 - 7
      Abstract: Digital change detection techniques by using multi-temporal satellite imagery helps in understanding landscape dynamics. The present study illustrates the spatio-temporal dynamics ofLand use/cover of around Chennur, Kadapa District, Andhra Pradesh India. Landsat satellite imageries of two different time periods, i.e., Landsat Thematic Mapper (TM) were acquired by earth explorer site and quantify the changes in the study area 2005-2006 to 20015-16 over a period of 10 years. Supervised classification methodology has been employed using maximum likelihood techniques in ERDAS 2014 Software. The images of the study area were categorized into five different classes, namely Forest, Agriculture, Wastelands, Built-up and waterbodies. The results indicate that during the last 10 years, Waste Land and Built-up land have been increased by 3.86% (3.79 Sq km) and 2.98% (2.93 Sq km) while Agriculture, Forest and Waterbodies have decreased by 5.17% (5.08 Sq km), 0.45% (0.44 Sq km) and 1.22% (1.20 Sq km), respectively.
      PubDate: 2018-09-29
      Issue No: Vol. 9, No. 3 (2018)
       
  • Improving Healthcare Information System Using Geographic Information
           System
    • Authors: Matin Alinejad
      Pages: 8 - 15
      Abstract: Employing electronic tools and new methods is a necessity due to the large volume of data and their applications in urban and regional plans on the one hand, as well as dynamic nature of data in urban systems, on the other hand. Healthcare service is, particularly, one of the most important urban applications which concerns numerous population, and covers a vast area of urban space. It faces many problems like lack of sufficient health facilities according to the community needs and inappropriate distribution of demanded centers. This study aims to evaluate the spatial distribution of hospitals and healthcare centers with the facilities they provide in the city of Pune, India. The other aim is to model the shortest access path to health facilities of Pune city and the closest facility from patient’s location using network analysis tool by employing Geographic Information Systems (GIS) technology. The results showed that there are 233 healthcare facilities in the study area; out of which 94 of them are government while 139 are private. In addition, the findings from this study demonstrated that the GIS is one of the most important decision support tools that help in identification of the shortest path to the nearest healthcare center in emergency situations. GIS technology not only can profit patients, but it also can manipulate similar situations in other organizations such as the police department in order to regulate the crime as well as for fire brigade in case of fire emergencies.
      Keywords: GIS, healthcare facility, network analysis, shortest path, closest facilityCite this Article
      Matin Alinejad. Improving Healthcare Information System Using Geographic Information System. Journal of Remote Sensing & GIS. 2018; 9(3): 8-15p.

      PubDate: 2018-10-03
      Issue No: Vol. 9, No. 3 (2018)
       
  • Land Use/Land Cover Change Dynamic of Bokaro District, East India Using
           Remote Sensing and GIS Techniques
    • Authors: Ashish Kumar Modi, Pratyush Das, Debajani Panda
      Pages: 16 - 22
      Abstract: Land, sometimes referred to as dry land, is the solid surface of Earth that is not permanently covered by water. The study describes the land use and land cover (LULC) dynamics in Bokaro district at Jharkhand from 1991 to 2011 using Remote Sensing and Geographical Information System (GIS). Whatever, human activities is invented or generated begins from LAND. Therefore, its uses and disintegration by human throughout the period of time is very essential to be known. A city grows not only by population but also by change in its spatial dimensions. The present study investigated the change detection of Bokaro district, Jharkhand, India using LANDSAT satellite data for the year 1991, 2001 and 2011. Topo sheet and high resolution images from Google earth were also used for the study. The process used for the study is known as image processing under which supervised classification method was used using different classes for the study area. The results indicated that there is a drastic increase in agriculture and habitation whereas forest, water and fallow land reduced within the district boundary limit. Migration is still continuing in the district and afforestation/human activities done throughout the period effecting in the reduction of water.
      Keywords: Change detection, land use and land cover, LANDSAT, Geographical Information System (GIS), remote sensingCite this Article
      Modi AK, Das P, Panda D. Land Use/Land Cover Change Dynamic of Bokaro District, East India Using Remote Sensing and GIS Techniques. Journal of Remote Sensing & GIS. 2018; 9(3): 16–22p.
      PubDate: 2018-10-25
      Issue No: Vol. 9, No. 3 (2018)
       
  • Digital Elevation Model (DEM) Extraction using Google Earth and Terrain
           Zonum Solutions Online Tool
    • Authors: Pradeep Sangwan, Sunil Sharma
      Pages: 23 - 29
      Abstract: Topographic data or DEM are commonly perceived as providing loaded information for various types of modeling. However, this information severely limited and most users rely on published topographic maps or DEM produced by government agencies. This paper proposes an alternative method of generating DEM by using online source of elevation data which is easier and free. Firstly, the location of the study area identified in Google Earth and marked using marking tool functions in Google Earth. The coordinates were exported to an online application tools named Terrain Zonum Solutions for extracting 5000 elevation points for the area. These points were uploaded and processed in ArcGIS-10 to generate the DEM. Based on the result, this study proposes an alternative method in obtaining a DEM data for a wide area with reduced expenditure, time and man-power drastically in comparison to traditional process. Common uses of DEM includes: extracting terrain parameters for geomorphology and physical geography, modeling water flow for hydrology or mass movement (for example avalanches and landslides), creation of relief maps, rendering of 3D visualizations, 3D flight planning, creation of physical models (including raised relief maps), rectification of aerial photography or satellite imagery, engineering and infrastructure design, line-of-sight analysis, base mapping, flight simulation, precision farming and forestry, surface analysis, intelligent transportation systems (ITS) and archaeology. Keywords: Digital elevation model (DEM), Google Earth, GIS, GPS, terrain zonum solutionsCite this ArticlePradeep Sangwan, Sunil Sharma. Digital Elevation Model (DEM) Extraction using Google Earth and Terrain Zonum Solutions Online Tool. Journal of Remote Sensing & GIS. 2018; 9(3): 23–29p.
      PubDate: 2018-12-03
      Issue No: Vol. 9, No. 3 (2018)
       
  • Recognition and Mapping of Structural Guides for Barytes Mineral
           Exploration in Parts of Kadapa District using Remote Sensing and GIS
    • Authors: Ramachandra M., Raghu Babu K, Pradeep Kumar B., Shivakumar Reddy P.
      Pages: 30 - 36
      Abstract: Identification and mapping of structural criteria of a region reveals information about the occurrence of ore deposits of igneous and metamorphic origin. Remote Sensing and GIS data helps in detection of such structural features, like faults, lineament, folds, etc. These are important guides for exploration of ore mineral and groundwater. Kadapa district hosts important ore minerals of igneous and metamorphic origin like Barytes, asbestos, gold, galena, steatite etc. Barytes is exploited in the district since a long past. Present study is taken up to prepare structural map along the existing Barytes mines in the district using geospatial techniques like Remote Sensing and GIS, with an intension to identify new Barytes mineralized locations through these structural guides. The structural data of any region provides a quick payback with faster, more accurate mineral identification for gold, silver, diamonds, iron, nickel, copper, uranium, aluminum, Barytes, and also provide rock and mineral relationship in search for ore deposits during exploration. Structural criteria, is an important measure in mineral exploration of certain mineral deposits that are confined by geographic, geological and tectonic features. Mainly the occurrence of ore deposits is dependent on neighboring lithology and structural deformation of the location area. Endogenous mineral deposits like tin, muscovite, lithium, tungsten, gold, beryl, gemstones etc. are associated with intermediate and acid rocks like syenite; granite, granodiorite. etc., and deposits of copper, nickel, cobalt, silver, arsenic and apatite are formed in basic rocks like gabbro, norite, diorite, etc. Due to false nature of ore bodies and their varied controls of mineralization the techniques used for mineral exploration such as remote sensing followed by ground and airborne geophysical surveys, stream sediment, litho-geochemical surveys and core drilling have been used for regional and detailed surveys. The aspect that indicate the mineralisation are known as localizers. If these indicators can be identified on satellite data/imagery then the mineral explorations can be much faster with increased efficiency.
      Keywords: Multispectral, LISS-III Satellite Imagery, SOI Toposheet remote sensing, GISCite this ArticleRamachandra M., Raghu Babu K., Pradeep Kumar B. et al. Recognition and Mapping of Structural Guides for Barytes Mineral Exploration in Parts of Kadapa District using Remote Sensing and GIS. Journal of Remote Sensing & GIS. 2018; 9(3): 30–36p.

      PubDate: 2018-12-10
      Issue No: Vol. 9, No. 3 (2018)
       
  • Analysis of anomalous Ionospheric Total Electron Content variation for
           earthquakes in South East Asian region with International GNSS Service
           Network
    • Authors: Anjan Debnath
      Pages: 37 - 45
      Abstract: A study has been undertaken to find ionospheric total electron content anomaly around various earthquake days occurring in a period from January, 2016, to March, 2017, in the South East Asian region. Large Magnitude shallow earthquakes are considered only. For the study Vertical Total Electron Content (hereafter abbreviated as VTEC) data for various dual frequency GPS receivers maintained by the IGS network was collected with the help of IONOLAB-TEC software tool. Then these VTEC trends were analyzed to find anomalous TEC variation around earthquake days. For the analysis only those IGS stations that fall within Dobrovolsky Radius (hereafter abbreviated as D.R.) of each earthquake or are closest have been chosen. The analysis included geo magnetically quiet days only to take out all non-seismic effects in the ionosphere. The analysis shows VTEC irregularity spanning few days around many earthquake events. In many cases it was found that VTEC peaks are anomalously high before few days of earthquake and they slowly fall back to normal values. Continuous VTEC values have been plotted to analyze trend of VTEC variation.Keywords: VTEC, Dobrovolsky Radius, IONOLAB-TEC, IGS NetworkCite this ArticleAnjan Debnath. Analysis of anomalous Ionospheric Total Electron Content variation for earthquakes in South East Asian region with International GNSS Service Network. Journal of Remote Sensing & GIS. 2018; 9(3): 37–45p.

      PubDate: 2018-12-17
      Issue No: Vol. 9, No. 3 (2018)
       
  • Land Use/Land Cover Change Detection Analysis Using Supervised
           Classification, Remote Sensing and GIS In Mandavi River Basin, YSR Kadapa
           District, Andhra Pradesh, India
    • Authors: R. Siddi Raju, G Sudarsana Raju, M Rajasekhar
      Pages: 46 - 54
      Abstract: Assessment, development, and management of watershed strategy require exact calculations reports of present and past land use/cover data and its change determine the ecological and hydrological process taking place in a watershed. In this study, we have to adopt supervised classification with maximum likelihood algorithm in ERDAS imagine to notice land use/cover changes (LU/LCC) analyzed in Mandavi river basin, Kadapa district, Andhra Pradesh, India using multispectral satellite data gained from Landsat satellite series for the years 2006 and 2018. These satellite data is intended for land use/cover through supervised classification in ERDAS 2014, software. In the result, we could identify six land use/land cover (LU/LC) classes, namely agricultural land, built-up land, fallow land, forest land, river and water bodies. The results shown that during the 2006 and 2018, built-up land fallow land have been increased about 0.84% (such as 12.30 km2) and 2.92% (42.82 km2), respectively, whereas the area under other land categories such as agricultural land, forest land, river and water bodies have decreased about 1.86% (27.30 km2), 1.34 (19.66 km2), 0.26 (3.87 km2) and 0.29 (4.28 km2), respectively. Finally, accuracy assessment has been carried out and their result shows that overall accuracy of classified images of the year 2006 and 2018 are 86.62% and 91.85% respectively. The overall Kappa coefficient values of classified images of the year 2006 and 2018 are 0.8343 and 0.8987. Hence, these values indicate that acceptable accuracy of the classified LU/LC features.Keywords: Supervised classification, land use/cover, change detection, accuracy assessment, RS and GISCite this ArticleR. Siddi Raju, G. Sudarsana Raju, M. Rajasekhar. Land Use/Land Cover Change Detection Analysis Using Supervised Classification, Remote Sensing and GIS In Mandavi River Basin, YSR Kadapa District, Andhra Pradesh, India. Journal of Remote Sensing & GIS. 2018; 9(3): 46–54p.
      PubDate: 2018-12-18
      Issue No: Vol. 9, No. 3 (2018)
       
 
 
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