Subjects -> EARTH SCIENCES (Total: 771 journals)
    - EARTH SCIENCES (527 journals)
    - GEOLOGY (94 journals)
    - GEOPHYSICS (33 journals)
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    - OCEANOGRAPHY (88 journals)

GEOPHYSICS (33 journals)

Showing 1 - 31 of 31 Journals sorted by number of followers
Geophysical Research Letters     Full-text available via subscription   (Followers: 200)
GIScience & Remote Sensing     Open Access   (Followers: 55)
Reviews of Geophysics     Full-text available via subscription   (Followers: 50)
Journal of Remote Sensing & GIS     Full-text available via subscription   (Followers: 36)
Physics and Chemistry of the Earth, Parts A/B/C     Hybrid Journal   (Followers: 9)
Journal of the Earth and Space Physics     Open Access   (Followers: 7)
Artificial Intelligence in Geosciences     Open Access   (Followers: 6)
New Zealand Journal of Geology and Geophysics     Hybrid Journal   (Followers: 6)
Research in Geophysics     Open Access   (Followers: 5)
Geothermal Energy     Open Access   (Followers: 5)
Eos, Transactions American Geophysical Union     Open Access   (Followers: 5)
Journal of Earth Sciences and Geotechnical Engineering     Open Access   (Followers: 4)
Greenhouse Gases : Science and Technology     Hybrid Journal   (Followers: 4)
NRIAG Journal of Astronomy and Geophysics     Open Access   (Followers: 4)
Journal of Environmental & Engineering Geophysics     Hybrid Journal   (Followers: 3)
Geodesy and Cartography     Open Access   (Followers: 2)
Geodesy and Cartography : The Journal of Committee on Geodesy of Polish Academy of Sciences     Open Access   (Followers: 2)
GEOMATICA     Hybrid Journal   (Followers: 1)
Geology, Geophysics and Environment     Open Access   (Followers: 1)
Interpretation     Hybrid Journal   (Followers: 1)
Contributions to Geophysics and Geodesy     Open Access   (Followers: 1)
Near Surface Geophysics     Open Access   (Followers: 1)
Chinese Journal of Geophysics     Full-text available via subscription   (Followers: 1)
Transportation Geotechnics     Full-text available via subscription   (Followers: 1)
Results in Geophysical Sciences     Open Access  
Energy Geoscience     Open Access  
Geomechanics and Geophysics for Geo-Energy and Geo-Resources     Hybrid Journal  
Geodesy and Geodynamics     Open Access  
Acta Geologica Polonica     Open Access  
GeofĂ­sica internacional     Open Access  
GeoScience Engineering     Open Access  
Similar Journals
Journal Cover
Geodesy and Cartography
Journal Prestige (SJR): 0.156
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2029-6991 - ISSN (Online) 2029-7009
Published by Vilnius Gediminas Technical University Homepage  [15 journals]
  • A Sub-pixel visualization method to display fuzzy Phenomena using RGB
           color composite (case study: mangroves forest)

    • Authors: Ara Toomanian
      Pages: 193– - 193–
      Abstract: Natural phenomena boundaries and complexity of features in an urban area due to the low spatial resolution, lead to more pixels of satellite images included in reflectance of multiple land-cover/object components. The sub-pixel information extracting model outputs are fractional cover maps of interested class (end-member), with membership values between zero and one. These maps represented gradient change in only one fuzzy phenomenon boundaries such as vegetation cover. However, in multiple fuzzy class area or complex fuzzy phenomena such as mangrove forests, in the northwest of the Qeshm Island, Hormozgan, Iran, displaying several fractional covers may cause confusion and misunderstanding for the end-user. In this study, an additive color composite and spectral mixture analysis method is utilized for multiple fractional cover representation.  The proposed method is implemented on images acquired from Operational Land Imager (OLI) sensor in the Landsat 8 satellite to extract three fractional covers (water, vegetation, and soil). An RGB color composite was used for each type and percentage of fractional cover for given pixel to display fractional cover separately. Based on such RGB color composite represented both quantitative and qualitative information, we used the RGB color solid cube as map legend for better understanding and map interpretation. The result of this study showed that suggested sub-pixel visualization method, gives new vision to the end-user understanding of fuzzy phenomena.
      PubDate: 2022-11-28
      DOI: 10.3846/gac.2022.16092
      Issue No: Vol. 48, No. 4 (2022)
  • Accuracy of coordinate determinations of the network of protected zone
           points according to the results of GNSS observations

    • Authors: Oleksiy Tereshchuk, Sergiy Kryachok, Vadym Belenok
      Pages: 202– - 202–
      Abstract: The article examines errors of the planned position of the points of the educational and research site “Fortuna” of the Chernihiv Polytechnic National University (Ukraine), located in a forested area. Kinematic positioning has been performed using a GNSS receiver GeoMax Zenith 10/20 in real time mode. The network of permanent satellite GNSS stations System NET has been used as a coordinate basis. RTK Master Auxiliary Corrections (MAX) technology has been used to form the corrective amendments. The calculation of RTK corrections has been performed using the software package Leica GNSS Spider v4.3. The Transverse Mercator cartographic projection has been used to determine the flat rectangular coordinates in the USK-2000 system. The values of the coordinates determined in the RTK mode have been compared with the coordinates obtained by the method of electronic polygonometry, which are estimated to be 3 times more accurate. Coordinate differences have formed error vectors. As a result of analysis of the vector field, a stable tendency has been established: the deviation of the planned coordinates of the site points, determined by the method of GNSS-observations in real time mode and located in the forest park zone, in the direction of the base station.
      PubDate: 2022-11-28
      DOI: 10.3846/gac.2022.13903
      Issue No: Vol. 48, No. 4 (2022)
  • GPS supported assessment integrated with GIS service area analysis of
           healthcare institutions of Basona Werana in comparison with Debre Berhan

    • Authors: Wondwossen Mindahun, Natnael Agegnehu, Andnet Nigussie
      Pages: 209– - 209–
      Abstract: The study is principally aimed to assess and analyse the spatial location of the health institutions from lowerlevel Health Posts (HPs) to higher level Referral Hospitals (RHs) in both Zonal Capital Debre Berhan Town (DBT) and the surrounding Rural Basona Werana Wereda (BWW) which includes both government and private owned using Global Positioning System (GPS) equipment and ArcGIS software. The methodological procedure encompasses adjustments of data before use for the analysis, data processing, analysis and final result. On this basis, it could become possible to identify the spatial locations of the health institutions in BWW and DBT including residential areas in both districts. Built up road network data set enabled generation of possible service areas and as a result higher Clinics, Health Centrers and hospitals are either nearly or fully provided for urbanized population of DBT while they are either extremely rare or not provided in the rural population of BWW. Absence of road infrastructures and transport facilities also intensified the rural health service access. The study suggests involvement of scientific approaches of GPS, GIS and other relevant technologies towards health policy implementation will be a remedial action for the government and stake holders of the health sector.
      PubDate: 2022-11-28
      DOI: 10.3846/gac.2022.14139
      Issue No: Vol. 48, No. 4 (2022)
  • Mapping of deforestation and forest degradation associated with
           responsible drivers in the Man River Basin, Central India

    • Authors: Jitendra Thakur
      Pages: 218– - 218–
      Abstract: In developing countries, both deforestation and forest degradation are of serious environmental concern due to various driving factors. This can be more difficult to manage due to the lack of quality data and the unavailability of appropriate mapping techniques. Based on remote sensing data, this study examined an integrated approach to improve the mapping capability of forest change monitoring for data deficient areas. The study is carried out integrating ground-based information with Landsat 5 TM, Landsat 8 OLI and TIRS in the Man River Basin, India. The findings of the current study suggest that the integrated approach enhances the ability of modeling to estimate deforestation and forest degradation associated with responsible drivers, especially in countries such as India where grassroots data are infrequent.
      PubDate: 2022-11-28
      DOI: 10.3846/gac.2022.14951
      Issue No: Vol. 48, No. 4 (2022)
  • Development of soft computational simulator for optimized deep artificial
           neural networks for geomatics applications: remote sensing classification
           as an application

    • Authors: Ahmed Serwa
      Pages: 224– - 224–
      Abstract: Artificial neural networks (ANN) obtain more importance after the innovation of deep learning (DL) approach. This research is oriented towards development of soft computational simulator for geomatics research using ANN supporting the deep approach. ANN seems to be a black box due to its sensitivity towards initialization, architecture, and behavior. This research gives a spotlight on the dull areas of ANN algorithm by developing a soft computational simulator for it. The applied examples are chosen to cover geomatics data. DANNDO (Deep Artificial Neural Networks Designer and Optimizer) software is developed to achieve the research objective. Multi-layer perceptron (MLP) architecture is applied in this simulator. Geomatics (remote sensing multi- spectral data) is selected to be a testing paradigm to insure the reliability of the developed simulator. The developed simulator proved the high performance of applying both shallow and deep ANN (DANN).
      PubDate: 2022-11-29
      DOI: 10.3846/gac.2022.15642
      Issue No: Vol. 48, No. 4 (2022)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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