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Publisher: STM Journals   (Total: 36 journals)   [Sort by number of followers]

Showing 1 - 36 of 36 Journals sorted alphabetically
Current Trends in Information Technology     Full-text available via subscription   (Followers: 3)
Current Trends in Signal Processing     Full-text available via subscription   (Followers: 5)
Emerging Trends in Chemical Engineering     Full-text available via subscription   (Followers: 4)
J. of Advancements in Library Sciences     Open Access   (Followers: 36)
J. of Aerospace Engineering & Technology     Full-text available via subscription   (Followers: 13)
J. of Alternate Energy Sources & Technologies     Full-text available via subscription   (Followers: 1)
J. of AYUSH :- Ayurveda, Yoga, Unani, Siddha and Homeopathy     Full-text available via subscription   (Followers: 9)
J. of Control & Instrumentation     Full-text available via subscription   (Followers: 11)
J. of Electronic Design Technology     Full-text available via subscription   (Followers: 6, SJR: 0.1, CiteScore: 0)
J. of Herbal Science     Full-text available via subscription   (Followers: 4)
J. of Industrial Safety Engineering     Full-text available via subscription   (Followers: 6)
J. of Materials & Metallurgical Engineering     Full-text available via subscription   (Followers: 1)
J. of Modern Chemistry & Chemical Technology     Open Access   (Followers: 3)
J. of Polymer & Composites     Full-text available via subscription   (Followers: 16)
J. of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 10, SJR: 0.284, CiteScore: 1)
J. of Remote Sensing & GIS     Full-text available via subscription   (Followers: 21)
J. of VLSI Design Tools & Technology     Full-text available via subscription   (Followers: 5)
J. of Water Resource Engineering and Management     Full-text available via subscription   (Followers: 3)
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 Pharmacology     Full-text available via subscription   (Followers: 1)
Research & Reviews : A J. of Toxicology     Full-text available via subscription   (Followers: 4)
Research & Reviews : A J. of Life Sciences     Open Access  
Research & Reviews : J. of Agricultural Science and Technology     Full-text available via subscription  
Research & Reviews : J. of Botany     Full-text available via subscription   (Followers: 1)
Research & Reviews : J. of Crop Science and Technology     Full-text available via subscription   (Followers: 3)
Research & Reviews : J. of Dairy Science and Technology     Open Access   (Followers: 2)
Research & Reviews : J. of Ecology     Full-text available via subscription   (Followers: 2)
Research & Reviews : J. of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Research & Reviews : J. of Food Science and Technology     Open Access  
Research & Reviews : J. of Physics     Open Access   (Followers: 1)
Research & Reviews : J. of Space Science & Technology     Full-text available via subscription   (Followers: 10)
Research & Reviews : J. of Statistics     Open Access   (Followers: 6)
Research & Reviews : J. of Veterinary Science and Technology     Open Access   (Followers: 1)
Trends in Electrical Engineering     Full-text available via subscription   (Followers: 4)
Trends in Mechanical Engineering & Technology     Full-text available via subscription   (Followers: 3)
Journal Cover
Journal of Remote Sensing & GIS
Number of Followers: 21  
  Full-text available via subscription Subscription journal
ISSN (Print) 2321-421X
Published by STM Journals Homepage  [36 journals]
  • Effect of Image Band Number and Band Multicollinearity on Mapping Accuracy
           of Tree Diversity and Evenness
    • Authors: Mohammad Redowan, Sayeed Mahmud Riadh, Kazi Mohammad Masum
      PubDate: 2013-07-22
      Issue No: Vol. 4 (2013)
  • Use of LANDSAT ETM + Data for Detection of Prosopis juliflora in Irrigated
    • Authors: Vijay Shivaji Bhagat, Ramnath K. More
      Abstract: Prosopis juliflora (PJ) can be used as a relevant indicator for integrated management of irrigated saline soil in arid zones. Remotely Sensed Landsat Enhanced Thematic Mapper Plus (ETM+) dataset was used for detection and delineation of areas under PJ. The vegetation densities were classified using normalized difference vegetation index (NDVI) whereas soil moisture levels were estimated based on distribution of soil wetness index (SWI). The classified NDVI map was combined with classified SWI map for detection of PJ. It is considered that the available water in the soil is one of the determinants of plant species and densities. The field checks show that the soil under PJ is drier than the irrigated soils mainly in dry season. Therefore, the dense and medium vegetation distributed on drier soils are considered as PJ. About 16.17% of reviewed area is covered by dense and 11.29% by sparse PJ. Overall accuracy of the analyses is about 87%. The dense PJ is classified more precisely than the sparse. The methodology formulated in the study can be used as a rapid assessment tool prior to planning and monitoring the saline lands of arid zones.
      PubDate: 2013-03-19
      Issue No: Vol. 4 (2013)
  • DEM Processing Methods
    • Authors: Sowmya Thyagarajan
      Abstract: Digital elevation model (DEM) is used generically to mean the digital cartographic representation of the earth in any form, rectangular grids or lattices, triangular networks or irregular spot heights, and breaklines. This paper aims to present a review of recent techniques used in satellite image processing, especially with focus on DEM processing. The reviewed approaches are classified according to the various techniques used in  processing  DEM, various filters  used in denoising and despeckling of DEM images have been described in this paper. This review does not contemplate to go into details of particular algorithms or describe results of comparative experiments; rather a summary of more approaches and  interesting parts are presented in this paper. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in processing of DEM.
      PubDate: 2013-03-19
      Issue No: Vol. 4 (2013)
  • A Survey on Weather Forecasting and the Proposed Approach
    • Authors: Parag P. Kadu, K. P. Wagh, P. N. Chatur
      Abstract: Accurate weather forecasting has been one of the most challenging problems around the world. The technical milestones that have been achieved by the researchers in this field have been reviewed and presented in this survey paper. Since the past decades, various models have been developed for weather forecasting using artificial neural network, data mining and by using soft computing, which are discussed in this paper. This paper also contains the proposed approach of artificial neural network that uses analysis of data and learns from it for future predictions of temperature, with the combination of wireless technology and Statistica software.
      PubDate: 2012-12-08
      Issue No: Vol. 4 (2012)
  • Multi-Criteria Decision Making and Geoinformatics: Evaluating Tools for
           Alternative Road Network in Hilly Terrain
    • Authors: Shafique Matin
      PubDate: 2012-12-08
      Issue No: Vol. 4 (2012)
  • A Memory Efficient No List SPECK (NSK) Wavelet Image Coder for
           Memory-constrained Applications
    • Authors: N. R. Kidwai, Ekram Khan, Rizwan Beg
      Abstract: In this paper, a fast and memory-efficient listless version of set-partitioned embedded block (SPECK) image coder is proposed. Due to the use of linked lists, the original SPECK algorithm requires large run-time memory, making it unsuitable for memory-constrained applications. The proposed coder replaces linked list with small fixed size static memory, to keep track of blocks in set partitioning only and use only two markers to facilitate coding. Replacement of linked lists with small fixed-size static memory also reduces the memory access time, thereby making it faster than the original SPECK. Simulation results show that the proposed algorithm outperforms SPECK image coder in terms of memory requirement and computational complexity while retaining the coding efficiency and scalability. The proposed coder requires 0.25-bit per pixel state memory which is 3.125% of the memory to store the image. These features make it suitable for resource-constrained portable handheld multimedia devices.  
      PubDate: 2012-12-08
      Issue No: Vol. 4 (2012)
  • Spatiotemporal Analysis of Noida, Greater Noida and Surrounding Areas
           (India) Using Remote Sensing and GIS Approaches
    • Authors: Gopal Krishna
      Abstract: Spatiotemporal analysis refers to an analysis having both spatial extension and temporal duration. Remote sensing has provided a great tool to quantify changes using satellite data in our area of interest. Population of Indian cities is growing rapidly. That is why human need for shelter is also growing day by day, resulting in fast urbanization. This study uses remote sensing and GIS approaches to delineate the urban growth resulting in decrease of agricultural land. In this study, it is analyzed as to how much change has taken place in a time span of two decades and five years, mainly emphasizing on change and growth of residential, commercial and industrial structures on agricultural land. The use of a time-series of Landsat data to classify the urban footprints since 1986 has enabled detection of spatial and temporal urban sprawl and urban development in the explosively growing large urban agglomerations of the two metropolitan cities of Noida and Greater Noida. In this study, a spatiotemporal analysis using three Landsat scenes of 25 years of time span, aims at the detection of the changes and the urban footprints in Noida and Greater Noida and its surroundings. It is also assessed as to how much urban expansion has taken place during the last 25 years. With the help of socioeconomic data, demographic profile and increase in number of households are also assessed.
      PubDate: 2012-12-08
      Issue No: Vol. 4 (2012)
  • Designing a Geo-spatial framework for Rapid Damage Assessment: A Case
    • Authors: Dipanwita Dutta, Cassandra La Barrie
      Abstract: With increasing number of natural hazards and disasters followed by economic losses, terms like disaster preparedness, response, relief and rehabilitation has become common to the decision makers as well as ordinary people. Since there is a great influence of occurrence of hazards and disaster upon a country’s economic growth, all government bodies are seek to find a way to reduce the adverse effect of a disaster. Rapid Damage Assessment (RDA) coupled with Rapid Damage Mapping (RDM) can assist decision makers to overcome the post-disaster crisis by providing necessary information for emergency response. The present paper aims to design a framework for RDA based on high resolution satellite image (IKONOS). RDA works in two phases, pre-disaster and post-disaster condition seeking to maintain alertness and prepared to serve quickly during disaster. To build the framework of RDA, an earthquake scenario has been simulated as an example. Rapid disaster mapping team equipped with modern communication technology could provide required information regarding safe zones, affected areas and level of damage. It is assumed that all required modern communication tools are available over there and the skilled workforce is equipped with modern map making softwares. 
      PubDate: 2012-08-01
      Issue No: Vol. 4 (2012)
  • Site Suitability Analysis for Reservoirs in Suriyawewa by Using GIS
    • Authors: I.P. Senanayake, D. M. D. O. K. Dissanayake, U.G.A. Puswewala
      PubDate: 2012-08-01
      Issue No: Vol. 4 (2012)
  • Retrieval of Incoming Shortwave Radiation Using Satellite Approaches: An
    • Authors: Sanjeev Kimothi, Seema Nainwal, Asha Thapliyal
      Abstract: The aim of this paper is to review the detail of incoming shortwave radiation retrieval approaches and put forth the required inputs. This review covers the worldwide research study for the estimation of incoming radiation using geostationary platform. Researches on the estimation of ground solar radiation have concentrated more on using the data from geostationary meteorological satellites since the orbit gives an advantage of obtaining multiple acquisitions in a day to account for diurnal and cloud-related variability. It was emphasized by several authors that accuracy may decrease if stations used for interpolation are located in two different climatic areas such as desert, coastal or if they are separated by physiographic structures such as mountainous, rocky area, etc. The attenuation coefficient of cloud could be computed by using Mie theory of scattering. A physical retrieval scheme of mapping irradiation by Meteosat-5 VISSR sensor data over the Indian landmass for the different climatic conditions shows the satellite sensor capability to capture seasonal irradiation.
      PubDate: 2012-08-01
      Issue No: Vol. 4 (2012)
  • Geospatial Technology for Sericulture Development in Jharkhand: A Pilot
    • Authors: N. K. Sharma, A. T. Jeyaseelan, Ravish Kumar
      PubDate: 2012-08-01
      Issue No: Vol. 4 (2012)
  • Decision Fusion Approaches to Spatiotemporal Change Prediction in
           Satellite Images: A Comparative Study
    • Authors: karim Saheb Ettabaa, Wadii Boulila, Imed Riadh Farah, Basel Solaiman
      Abstract: Predicting changes in satellite images remains one of the major challenges in the remote sensing field. However, this process is usually accompanied by several imperfections leading sometimes to erroneous decisions. In order to solve this problem, we propose to introduce knowledge discovery methods to improve the prediction process in satellite images and to decrease the associated imperfections. The proposed approach addresses this issue through the use of two fusion methods which are the evidence and adaptive possibility methods. Performances of these two methods were evaluated using several time series of SPOT-5 images. The obtained results show that the adaptive possibility method outperforms the evidence method in predicting land cover changes in most cases.
      PubDate: 2012-07-31
      Issue No: Vol. 4 (2012)
  • Aerial Expansion of Govind Sagar Lake in Recent Decades of Bilaspur
           District of Himachal Pradesh
    • Authors: Surendra Kumar Chandniha, Arun Mondal, P. K. Mishra, Sananda Kundu
      PubDate: 2012-07-31
      Issue No: Vol. 4 (2012)
  • Satellite Based Assessment of Biomass and Carbon Stock for a Mountainous
           Watershed Using Geoinformatics Technique
    • Authors: Javed Mallick, Pham Viet Hoa, Hoang Thi Hang, Dr. Atiqur Rahman
      Abstract: Biomass and carbon estimation methods are relatively time consuming and more expensive, not uniformly standardized across the world, and are characterized in many regions by undersampling. Remote sensing technologies provide powerful tools for observing biomass and carbon stock estimation in mountain environments. The study gives a practical method for mapping forest biomass and carbon stock that uses spatial information on forest type and structural attributes extracted from a satellite image. This shows the concentration of biomass exhibits over the broad leaf that is located in the eastern and southern parts of the watershed. Broad leaf accounts the highest biomass accounting 79243.14 tonnes in the area of 115.35 hecrtares followed by broadleaf + conifer 7089.63 tonnes. Thereafter, carbon stock has been estimated that is derived from satellite images correspond to vegetation presence. The total carbon stock in the entire watershed is estimated 48218.02 tonnes in an area of 261 hectares. It is observed that in the study area, eastern and southern parts contained higher carbon stock that corresponds to broad leaf. The lowest carbon stock has been estimated in agricultural land and degraded land. The areas with the least carbon stock will give more attention in their economic planning and energy resources. Existing plantations are small and too young to supply a significant part of the total biomass requirements in the least growing biomass stock as carbon sequestration
      PubDate: 2012-04-23
      Issue No: Vol. 4 (2012)
  • Knowledge-based, Automated Land Use/Land Cover Mapping Using Resourcesat-1
    • Authors: Sundaram Subramaniam
      Abstract: The availability of large quantity of data from high-resolution space-based sensors along with the existing archives surpassed our ability to extract information from all the data using supervised image analysis techniques. Hence there is a need for automated image classifier with high throughput. Knowledge-based, modular, hierarchical decision-based classifier suitable for the analysis and extraction of major land use/land cover classes from IRS Resourcesat AWiFS data has been developed and the results are encouraging.
      PubDate: 2012-04-23
      Issue No: Vol. 4 (2012)
  • Avalanche Hazard Mapping along Manali-patsio Road Axis (Himachal Pradesh,
           India) Using Advanced Geo-Informatics Techniques
    • Authors: Pratibha Sauparna, Siby John
      Abstract: Avalanche occurrence is quite a hazardous and unpredictable natural phenomenon. A large number of factors that are associated with its occurrence make it quite difficult to assess hazard in hilly areas. There are two main groups of variables that define the avalanche hazard – meteorological conditions and terrain characteristics. Due to the stable nature along the time, terrain parameters are easier to map. The purpose of this work is to assess different geographical factors that affect the avalanches triggering and, by combining the derived information, to extract a map of the avalanche hazard that, in this case, is restricted to Manali-Patsio highway. To this purpose, GIS techniques have been used, by mixing vectorial information, digital terrain models and IRS LISS-III imagery. In this paper, multi-criteria have been proposed as a technique for avalanche hazard mapping. Five avalanche conditioning factors (slope, aspect, land cover, elevation, and curvature) were taken as inputs. The ratings were given to each category of factors contributing to avalanche and weightages were decided for each factor after consulting experts in this field. The results were verified by back analysis. In back analysis, registered avalanche Atlas (SASE, Chandigarh) of the study area is taken as input and criteria for avalanche triggering were extracted. Then using these criteria, a model was generated and results were validated.
      PubDate: 2012-04-23
      Issue No: Vol. 4 (2012)
  • Land Use Land Cover Change Detection and Forecasting for Tiruchirappalli
           City Using Remote Sensing and GIS
    • Authors: SATHEES KUMAR, Nisha Radhakrishnan, Samson Mathew
      PubDate: 2012-04-23
      Issue No: Vol. 4 (2012)
  • Classification and Prediction of Weather Forecasting Dataset by using
           Artificial Neural Network
    • Authors: Sanjay Devchand Sawaitul, Kishor p Wagh, Dr. Prashant N Chatur
      PubDate: 2011-12-01
      Issue No: Vol. 4 (2011)
  • Study in Variation of Ozone Concentration over Indian Subcontinent using
           Ozone Monitoring Instrument data
    • Authors: Nisha Radhakrishnan
      PubDate: 2011-12-01
      Issue No: Vol. 4 (2011)
  • Spatio-temporal Distribution of Wildfire Occurrences on the Lake Floor of
           Lake Chad Based on Remotely Sensed Data
    • Authors: Anthony Dami, H. K. Ayuba, Mohammed .D. Bila
      PubDate: 2011-12-01
      Issue No: Vol. 4 (2011)
  • Flood Vulnerability Assessment Using Participatory GIS Approach
    • Authors: Arnab Kundu, Sananda Kundu
      PubDate: 2011-11-30
      Issue No: Vol. 4 (2011)
  • Monitoring Recent Vegetation Greenness Trend Impacted from Past Drought
           Events in Northern Arizona with AVIRIS and MODIS
    • Authors: Youngwook Kim
      PubDate: 2011-11-30
      Issue No: Vol. 4 (2011)
  • Spatio-Temporal Analyses for Ahad Watershed Management in Rajasthan State,
           India: Applications of Geoinformatics
    • Authors: Prakash Mantry, Prahlad Rai Vyas
      PubDate: 2011-11-30
      Issue No: Vol. 4 (2011)
  • Analysis of Wildfire Occurrences within the Shores of Lake Chad using
           Geo-information Technology
    • Authors: Haruna. K. Ayuba, Anthony Dami, Mohammed .D. Bila
      PubDate: 2011-11-30
      Issue No: Vol. 4 (2011)
    • Authors: Poonam S. Tiwari
      Abstract:  Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) and High Pass Filtering (HPF) algorithms. The photo interpretive potential and their statistical ability to preserve the spectral quality of fused data, in comparison with original Hyper-spectral image, have been investigated. A set of measures of effectiveness such as Correlation Coefficient, Mean, Median, Standard Deviation, and RMSE are used for comparative performance analysis and then best of fusion algorithms has been used for the purpose of automatic extraction of various urban features. This paper also explores the utility of object-oriented method to extract various urban features from the best fused high resolution data. The results were evaluated through comparison to manually acquired data. Several quality measures (Completeness, Correctness, and Quality etc.) were used for evaluating the accuracy of extraction. The results indicate that the fusion of Hyperspectral data with high spatial resolution data has an edge over multispectral dataset in terms of automatic extraction based on roof and road material.
      PubDate: 2010-12-13
      Issue No: Vol. 4 (2010)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
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