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Showing 1 - 200 of 2352 Journals sorted alphabetically
3D Research     Hybrid Journal   (Followers: 17, SJR: 0.214, h-index: 10)
4OR: A Quarterly J. of Operations Research     Hybrid Journal   (Followers: 10, SJR: 1.073, h-index: 25)
AAPS J.     Hybrid Journal   (Followers: 20, SJR: 1.192, h-index: 74)
AAPS PharmSciTech     Hybrid Journal   (Followers: 6, SJR: 0.718, h-index: 54)
Abdominal Imaging     Hybrid Journal   (Followers: 14, SJR: 0.723, h-index: 60)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 3, SJR: 0.447, h-index: 12)
Academic Psychiatry     Full-text available via subscription   (Followers: 22, SJR: 0.492, h-index: 32)
Academic Questions     Hybrid Journal   (Followers: 8, SJR: 0.135, h-index: 6)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 26, SJR: 0.378, h-index: 30)
Acoustical Physics     Hybrid Journal   (Followers: 11, SJR: 0.355, h-index: 20)
Acoustics Australia     Hybrid Journal  
Acta Analytica     Hybrid Journal   (Followers: 7, SJR: 0.387, h-index: 6)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1, SJR: 0.624, h-index: 34)
Acta Biotheoretica     Hybrid Journal   (Followers: 5, SJR: 0.419, h-index: 25)
Acta Diabetologica     Hybrid Journal   (Followers: 14, SJR: 1.318, h-index: 46)
Acta Endoscopica     Hybrid Journal   (Followers: 1, SJR: 0.113, h-index: 8)
acta ethologica     Hybrid Journal   (Followers: 4, SJR: 0.465, h-index: 23)
Acta Geochimica     Hybrid Journal   (Followers: 5)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 1, SJR: 0.294, h-index: 13)
Acta Geotechnica     Hybrid Journal   (Followers: 7, SJR: 1.818, h-index: 22)
Acta Informatica     Hybrid Journal   (Followers: 5, SJR: 0.524, h-index: 32)
Acta Mathematica     Hybrid Journal   (Followers: 11, SJR: 8.021, h-index: 47)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2, SJR: 0.53, h-index: 29)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 6, SJR: 0.406, h-index: 30)
Acta Mathematica Vietnamica     Hybrid Journal   (SJR: 0.451, h-index: 5)
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal   (SJR: 0.22, h-index: 20)
Acta Mechanica     Hybrid Journal   (Followers: 20, SJR: 0.898, h-index: 52)
Acta Mechanica Sinica     Hybrid Journal   (Followers: 5, SJR: 0.426, h-index: 29)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 5, SJR: 0.525, h-index: 18)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.524, h-index: 14)
Acta Neurochirurgica     Hybrid Journal   (Followers: 6, SJR: 0.833, h-index: 73)
Acta Neurologica Belgica     Hybrid Journal   (SJR: 0.348, h-index: 27)
Acta Neuropathologica     Hybrid Journal   (Followers: 5, SJR: 6.61, h-index: 117)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.295, h-index: 17)
Acta Parasitologica     Hybrid Journal   (Followers: 9, SJR: 0.581, h-index: 28)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.551, h-index: 39)
Acta Politica     Hybrid Journal   (Followers: 13, SJR: 0.658, h-index: 20)
Activitas Nervosa Superior     Hybrid Journal  
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 5, SJR: 0.103, h-index: 4)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 22, SJR: 0.871, h-index: 15)
Adhesion Adhesives & Sealants     Hybrid Journal   (Followers: 8)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 15, SJR: 0.795, h-index: 40)
Adsorption     Hybrid Journal   (Followers: 4, SJR: 0.774, h-index: 52)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 3, SJR: 0.319, h-index: 15)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 34, SJR: 0.959, h-index: 44)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15, SJR: 1.255, h-index: 44)
Advances in Contraception     Hybrid Journal   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 51, SJR: 1.113, h-index: 14)
Advances in Gerontology     Partially Free   (Followers: 8, SJR: 0.141, h-index: 3)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 22, SJR: 1.397, h-index: 42)
Advances in Manufacturing     Hybrid Journal   (Followers: 3, SJR: 0.2, h-index: 4)
Advances in Polymer Science     Hybrid Journal   (Followers: 41, SJR: 0.637, h-index: 89)
Advances in Therapy     Hybrid Journal   (Followers: 5, SJR: 0.79, h-index: 44)
Aegean Review of the Law of the Sea and Maritime Law     Hybrid Journal   (Followers: 7)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2, SJR: 0.882, h-index: 23)
Aerobiologia     Hybrid Journal   (Followers: 1, SJR: 0.511, h-index: 36)
Aesthetic Plastic Surgery     Hybrid Journal   (Followers: 9, SJR: 0.821, h-index: 49)
African Archaeological Review     Hybrid Journal   (Followers: 15, SJR: 0.612, h-index: 24)
Afrika Matematika     Hybrid Journal   (Followers: 1, SJR: 0.248, h-index: 6)
AGE     Hybrid Journal   (Followers: 7, SJR: 1.358, h-index: 33)
Ageing Intl.     Hybrid Journal   (Followers: 7, SJR: 0.337, h-index: 10)
Aggiornamenti CIO     Hybrid Journal   (Followers: 1)
Aging Clinical and Experimental Research     Hybrid Journal   (Followers: 3, SJR: 0.529, h-index: 55)
Agricultural Research     Hybrid Journal   (Followers: 3)
Agriculture and Human Values     Hybrid Journal   (Followers: 12, SJR: 1.197, h-index: 49)
Agroforestry Systems     Hybrid Journal   (Followers: 19, SJR: 0.64, h-index: 56)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 1.732, h-index: 59)
AI & Society     Hybrid Journal   (Followers: 7, SJR: 0.171, h-index: 19)
AIDS and Behavior     Hybrid Journal   (Followers: 13, SJR: 2.006, h-index: 71)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4, SJR: 0.706, h-index: 19)
Akupunktur & Aurikulomedizin     Full-text available via subscription   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 4, SJR: 0.566, h-index: 18)
Algebra Universalis     Hybrid Journal   (Followers: 2, SJR: 0.388, h-index: 22)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1, SJR: 0.868, h-index: 20)
Algorithmica     Hybrid Journal   (Followers: 8, SJR: 0.898, h-index: 56)
Allergo J.     Full-text available via subscription   (Followers: 1, SJR: 0.183, h-index: 20)
Allergo J. Intl.     Hybrid Journal   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 5, SJR: 0.729, h-index: 20)
ALTEX : Alternatives to Animal Experimentation     Open Access   (Followers: 3, SJR: 1.392, h-index: 32)
AMBIO     Hybrid Journal   (Followers: 15, SJR: 1.094, h-index: 87)
American J. of Cardiovascular Drugs     Hybrid Journal   (Followers: 16, SJR: 0.864, h-index: 39)
American J. of Community Psychology     Hybrid Journal   (Followers: 24, SJR: 1.237, h-index: 83)
American J. of Criminal Justice     Hybrid Journal   (Followers: 7, SJR: 0.634, h-index: 13)
American J. of Cultural Sociology     Hybrid Journal   (Followers: 12, SJR: 0.283, h-index: 3)
American J. of Dance Therapy     Hybrid Journal   (Followers: 4, SJR: 0.175, h-index: 13)
American J. of Potato Research     Hybrid Journal   (Followers: 2, SJR: 0.558, h-index: 35)
American J. of Psychoanalysis     Hybrid Journal   (Followers: 22, SJR: 0.293, h-index: 13)
American Sociologist     Hybrid Journal   (Followers: 14, SJR: 0.18, h-index: 13)
Amino Acids     Hybrid Journal   (Followers: 8, SJR: 1.362, h-index: 83)
AMS Review     Partially Free   (Followers: 4)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7, SJR: 0.21, h-index: 37)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 3, SJR: 0.665, h-index: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Analysis of Verbal Behavior     Hybrid Journal   (Followers: 5)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 30, SJR: 1.096, h-index: 123)
Anatomical Science Intl.     Hybrid Journal   (Followers: 2, SJR: 0.301, h-index: 26)
Angewandte Schmerztherapie und Palliativmedizin     Hybrid Journal  
Angiogenesis     Hybrid Journal   (Followers: 3, SJR: 2.212, h-index: 69)
Animal Cognition     Hybrid Journal   (Followers: 16, SJR: 1.122, h-index: 55)
Annales françaises de médecine d'urgence     Hybrid Journal   (Followers: 1, SJR: 0.156, h-index: 4)
Annales Henri Poincaré     Hybrid Journal   (Followers: 3, SJR: 1.377, h-index: 32)
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4)
Annali dell'Universita di Ferrara     Hybrid Journal   (SJR: 0.504, h-index: 14)
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1, SJR: 1.167, h-index: 26)
Annals of Behavioral Medicine     Hybrid Journal   (Followers: 11, SJR: 2.112, h-index: 98)
Annals of Biomedical Engineering     Hybrid Journal   (Followers: 18, SJR: 1.182, h-index: 94)
Annals of Combinatorics     Hybrid Journal   (Followers: 3, SJR: 0.849, h-index: 15)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Dyslexia     Hybrid Journal   (Followers: 9, SJR: 0.857, h-index: 40)
Annals of Finance     Hybrid Journal   (Followers: 28, SJR: 0.686, h-index: 14)
Annals of Forest Science     Hybrid Journal   (Followers: 6, SJR: 0.929, h-index: 57)
Annals of Global Analysis and Geometry     Hybrid Journal   (Followers: 1, SJR: 1.136, h-index: 23)
Annals of Hematology     Hybrid Journal   (Followers: 14, SJR: 1.117, h-index: 62)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 7, SJR: 0.593, h-index: 42)
Annals of Microbiology     Hybrid Journal   (Followers: 10, SJR: 0.402, h-index: 26)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 5, SJR: 0.68, h-index: 45)
Annals of Operations Research     Hybrid Journal   (Followers: 8, SJR: 1.186, h-index: 78)
Annals of Ophthalmology     Hybrid Journal   (Followers: 12)
Annals of Regional Science     Hybrid Journal   (Followers: 7, SJR: 0.405, h-index: 42)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annals of Solid and Structural Mechanics     Hybrid Journal   (Followers: 10, SJR: 0.553, h-index: 8)
Annals of Surgical Oncology     Hybrid Journal   (Followers: 16, SJR: 1.902, h-index: 127)
Annals of Telecommunications     Hybrid Journal   (Followers: 7, SJR: 0.315, h-index: 25)
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.931, h-index: 31)
Antonie van Leeuwenhoek     Hybrid Journal   (Followers: 5, SJR: 0.992, h-index: 87)
Apidologie     Hybrid Journal   (Followers: 4, SJR: 1.14, h-index: 57)
APOPTOSIS     Hybrid Journal   (Followers: 8, SJR: 1.554, h-index: 87)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2, SJR: 0.354, h-index: 27)
Applications of Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.274, h-index: 20)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 44, SJR: 0.575, h-index: 80)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 17, SJR: 0.267, h-index: 26)
Applied Cancer Research     Open Access  
Applied Categorical Structures     Hybrid Journal   (Followers: 2, SJR: 0.361, h-index: 21)
Applied Composite Materials     Hybrid Journal   (Followers: 48, SJR: 0.705, h-index: 35)
Applied Entomology and Zoology     Partially Free   (Followers: 3, SJR: 0.554, h-index: 34)
Applied Geomatics     Hybrid Journal   (Followers: 3, SJR: 0.323, h-index: 9)
Applied Geophysics     Hybrid Journal   (Followers: 8, SJR: 0.541, h-index: 13)
Applied Intelligence     Hybrid Journal   (Followers: 11, SJR: 0.777, h-index: 43)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.358, h-index: 34)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 4, SJR: 0.955, h-index: 33)
Applied Mathematics - A J. of Chinese Universities     Hybrid Journal   (SJR: 0.275, h-index: 8)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.37, h-index: 26)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 62, SJR: 1.262, h-index: 161)
Applied Physics A     Hybrid Journal   (Followers: 7, SJR: 0.535, h-index: 121)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 23, SJR: 0.983, h-index: 104)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8, SJR: 0.677, h-index: 47)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 11, SJR: 0.288, h-index: 15)
Applied Solar Energy     Hybrid Journal   (Followers: 17, SJR: 0.251, h-index: 6)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4, SJR: 0.351, h-index: 9)
Aquaculture Intl.     Hybrid Journal   (Followers: 22, SJR: 0.613, h-index: 40)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 1)
Aquatic Ecology     Hybrid Journal   (Followers: 32, SJR: 0.646, h-index: 44)
Aquatic Geochemistry     Hybrid Journal   (Followers: 4, SJR: 0.764, h-index: 39)
Aquatic Sciences     Hybrid Journal   (Followers: 13, SJR: 1.172, h-index: 53)
Arabian J. for Science and Engineering     Hybrid Journal   (Followers: 5, SJR: 0.345, h-index: 20)
Arabian J. of Geosciences     Hybrid Journal   (Followers: 1, SJR: 0.417, h-index: 16)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 23, SJR: 1.056, h-index: 15)
Archaeologies     Hybrid Journal   (Followers: 12, SJR: 0.397, h-index: 13)
Archiv der Mathematik     Hybrid Journal   (Followers: 1, SJR: 0.597, h-index: 29)
Archival Science     Hybrid Journal   (Followers: 56, SJR: 0.804, h-index: 22)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 8, SJR: 0.28, h-index: 15)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 1, SJR: 0.946, h-index: 23)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (SJR: 4.091, h-index: 66)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.865, h-index: 40)
Archives and Museum Informatics     Hybrid Journal   (Followers: 133)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4, SJR: 2.841, h-index: 40)
Archives of Dermatological Research     Hybrid Journal   (Followers: 7, SJR: 0.9, h-index: 65)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 11, SJR: 0.846, h-index: 84)
Archives of Gynecology and Obstetrics     Hybrid Journal   (Followers: 17, SJR: 0.695, h-index: 47)
Archives of Microbiology     Hybrid Journal   (Followers: 8, SJR: 0.702, h-index: 85)
Archives of Orthopaedic and Trauma Surgery     Hybrid Journal   (Followers: 8, SJR: 1.039, h-index: 56)
Archives of Osteoporosis     Hybrid Journal   (Followers: 2, SJR: 1.092, h-index: 13)
Archives of Sexual Behavior     Hybrid Journal   (Followers: 9, SJR: 1.198, h-index: 74)
Archives of Toxicology     Hybrid Journal   (Followers: 16, SJR: 1.595, h-index: 76)
Archives of Virology     Hybrid Journal   (Followers: 5, SJR: 1.086, h-index: 90)
Archives of Women's Mental Health     Hybrid Journal   (Followers: 14, SJR: 1.264, h-index: 50)
Archivio di Ortopedia e Reumatologia     Hybrid Journal  
Archivum Immunologiae et Therapiae Experimentalis     Hybrid Journal   (Followers: 2, SJR: 1.2, h-index: 42)
ArgoSpine News & J.     Hybrid Journal   (SJR: 0.102, h-index: 3)
Argumentation     Hybrid Journal   (Followers: 5, SJR: 0.295, h-index: 18)
Arid Ecosystems     Hybrid Journal   (Followers: 3)
Arkiv för Matematik     Hybrid Journal   (Followers: 1, SJR: 0.948, h-index: 22)
Arnold Mathematical J.     Hybrid Journal   (Followers: 1)
Arthropod-Plant Interactions     Hybrid Journal   (Followers: 2, SJR: 0.797, h-index: 17)
Arthroskopie     Hybrid Journal   (Followers: 1, SJR: 0.145, h-index: 8)
Artificial Intelligence and Law     Hybrid Journal   (Followers: 10, SJR: 0.288, h-index: 25)
Artificial Intelligence Review     Hybrid Journal   (Followers: 14, SJR: 0.948, h-index: 48)
Artificial Life and Robotics     Hybrid Journal   (Followers: 8, SJR: 0.231, h-index: 14)
Asia Europe J.     Hybrid Journal   (Followers: 5, SJR: 0.247, h-index: 9)
Asia Pacific Education Review     Hybrid Journal   (Followers: 12, SJR: 0.371, h-index: 17)
Asia Pacific J. of Management     Hybrid Journal   (Followers: 15, SJR: 1.676, h-index: 50)
Asia-Pacific Education Researcher     Hybrid Journal   (Followers: 12, SJR: 0.353, h-index: 13)
Asia-Pacific Financial Markets     Hybrid Journal   (Followers: 2, SJR: 0.19, h-index: 15)
Asia-Pacific J. of Atmospheric Sciences     Hybrid Journal   (Followers: 20, SJR: 1.006, h-index: 14)
Asian Business & Management     Hybrid Journal   (Followers: 8, SJR: 0.41, h-index: 10)
Asian J. of Business Ethics     Hybrid Journal   (Followers: 7)
Asian J. of Criminology     Hybrid Journal   (Followers: 5, SJR: 0.263, h-index: 8)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2, SJR: 0.681, h-index: 15)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5, SJR: 0.195, h-index: 5)
ästhetische dermatologie & kosmetologie     Full-text available via subscription  

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Journal Cover Applied Geomatics
  [SJR: 0.323]   [H-I: 9]   [3 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1866-928X - ISSN (Online) 1866-9298
   Published by Springer-Verlag Homepage  [2352 journals]
  • GIS-based site suitability and vulnerability assessment of
           telecommunication base transceiver station facilities in Ibadan
           metropolis, Nigeria
    • Authors: Suleiman Abdul-Azeez Adegboyega; Ileri Ayo Oyetunji; Ayo Emmanuel Olajuyigbe; Francis A. Adesina
      Pages: 205 - 217
      Abstract: The study assessed GIS capability in siting of base transceiver stations (BTS) to ensuring optimum spatial coverage of signal while minimizing their health impacts. It therefore evaluated the spatial pattern of BTS, determined areas vulnerable to health hazards related to them and identified most suitable locations for siting the BTS in Ibadan metropolis. Digital elevation model, IKONOS, geographic locations of the BTS and administrative map of Ibadan were used. Images and map were georeferenced using ArcGIS 10.2 version. Features such as drainage, road network, buildings among others were extracted from the IKONOS image. Nearest neighbourhood analysis was performed to investigate the nature of the BTS distribution. Buffering analysis was carried out to identify the numbers of buildings at risk of radiation emission from BTS based on National Environmental Standards and Regulation Enforcement Agency (NESREA) 10 m distance regulation. View shed analysis was performed to determine signal strength across the study area. Multi-criteria analysis (MCA) and sensitivity analysis were carried out to generate BTS suitability index maps. The finding showed that BTS distribution pattern was dispersed with z-score of 4.39 and there was less than 1% likelihood that this dispersed pattern could be the result of random chance (P value = 0.01). The study revealed that 934 buildings with 13,387 population were found within 10 m from the BTS and thus vulnerable to possible health hazards of harmful radiation. The study proposes creation of 11 new BTS sites that would increase strong signal strength coverage across the study area. It canvassed for further researches on the effects of long-term exposure to radiation among people living around BTS in Nigeria.
      PubDate: 2017-09-01
      DOI: 10.1007/s12518-017-0194-y
      Issue No: Vol. 9, No. 3 (2017)
  • Landslide hazard evaluation and zonation in and around Gimbi town, western
           Ethiopia—a GIS-based statistical approach
    • Authors: Gemechis Chimidi; Tarun Kumar Raghuvanshi; K. V. Suryabhagavan
      Abstract: 2 The main purpose of the present study was to carry out landslide evaluation and zonation in and around Gimbi town in western Ethiopia, located about 440 km from Addis Ababa. This study was conducted following GIS-based statistical method. For hazard evaluation and zonation, nine causative factors viz., slope material, elevation, slope, aspect, curvature, groundwater surface traces, distance to roads, and distance to streams were considered. Data on these causative factors were obtained from secondary maps, digital elevation model, topographical sheets, and through field mapping. Fifty past landslides in the study area were also identified and mapped through field survey and image interpretation. Statistical correlations between each of the causative factors and the past landslides were established in GIS environment to rate the relative contribution of individual factor classes. Thus, by considering ratings for each causative factor subclasses and by assigning suitable weights to each factor, random trial combinations were attempted to produce the landslide hazard zonation map. The results showed that 12.2% of the study area falls in very high hazard, 30.7% in high hazard, 24.3% in moderate hazard, 23.3% in low hazard, and the remaining 9.5% in no hazard zones. Validation of landslide hazard zonation map with past landslides showed that 75% of the past landslides fall within very high and high hazard zones. Thus, the hazard zones depicted can be considered for future planning and development of the study area.
      PubDate: 2017-09-24
      DOI: 10.1007/s12518-017-0195-x
  • Simulating the impact of land use/land cover change and climate
           variability on watershed hydrology in the Upper Brantas basin, Indonesia
    • Authors: Ari Setyorini; Deepak Khare; Santosh M. Pingale
      Abstract: In this study, the impact of land use/land cover (LULC) change and climate variability on hydrological processes was assessed and simulated using the Soil and Water Assessment Tool (SWAT) in the Upper Brantas river basin, Indonesia. The Mann–Kendall (MK) test was used to analyze the spatial variations and temporal trends of the hydro-climatic variables in the basin. The model performance was assessed by using statistical indicators like coefficient of determination (R 2), Nash–Sutcliffe model efficiency (NSE), the ratio of root mean square error to measured standard deviation (RSR), and percentage bias (PBIAS). These were found to be 0.905, 0.997, 0.061, and 5.7 during calibration and 0.916, 0.995, 0.071, and −6.967 during validation, respectively. During 1989–2006, LULC changes were found to be 26.12% forest, converted to 1.3% grassland, 0.03% water, 14.58% urban area, 6.77% mixed plants, and 3.44% rice fields. The integrated effects of the LULC change and climate variability decreased surface runoff, groundwater, lateral flow, and streamflow by −4.44, −2.27, −4.47, and −5.50%, respectively, but evapotranspiration (ET) increased to 0.63%. LULC change increased surface runoff by 20.14%, ET 0.03%, and streamflow 0.29%, but decreased in groundwater by −9.65% and lateral flow by −3.70%. The climate variability decreased surface runoff, groundwater, lateral flow, and streamflow by −19.07, −1.50, −0.53, and −5.78%, respectively. Both climate variability and LULC changes influence the hydrological processes. Therefore, this study recommends that the above two aspects should be taken into consideration for water resources planning and management in the study region in Indonesia.
      PubDate: 2017-07-11
      DOI: 10.1007/s12518-017-0193-z
  • Special issue: deformation monitoring
    • Authors: Andreas Wieser; Alessandro Capra
      PubDate: 2017-06-06
      DOI: 10.1007/s12518-017-0192-0
  • Geoinformatics for assessing the inferences of quantitative drainage
           morphometry of the Narmada Basin in India
    • Authors: Praveen Kumar Rai; Pawan Kumar Chaubey; Kshitij Mohan; Praful Singh
      Abstract: Geoinformatics-based morphological studies play a significant role in planning, designing, and development of river engineering structures. Quantitative morphometric parameters affect catchment streamflow pattern through their influence on concentration time, and geomorphic characteristics of a drainage basins play a vital role in controlling the basin’s hydrology. In the present paper, an effort has been made to assess the inferences of various linear, areal, drainage, and relief aspects of quantitative morphometric characteristics of the Narmada basin and its down (13) and upper watersheds (17) using ASTER DEM data in GIS platform. Total basin area of the Narmada is about 98,796 km2, and it is identified that the study area is an eighth order drainage basin. A total 31,211 stream segments including the Narmada river are identified, and it is clear that the cumulative stream length is higher in first-order streams and decreases as the stream order increases. The bifurcation ratio (Rb) of the Narmada basin is varied from 2 to 9, and it designates that the drainage pattern of the basin has been affected by the structural disturbances. The lowest value of elongation ratio in the basin indicates high relief and steep slope, while highest value specifies relatively plain land with low relief and low slope than other down watersheds. Sinuosity index of Narmada basin is 1.58, which shows that the Narmada river is meandering in nature.
      PubDate: 2017-05-18
      DOI: 10.1007/s12518-017-0191-1
  • Forest canopy height estimation using satellite laser altimetry: a case
           study in the Western Ghats, India
    • Authors: S. M. Ghosh; M. D. Behera
      Abstract: Canopy height is a crucial metric required to quantify the aboveground plant biomass accurately. The study explores the data derived using Light Detection and Ranging (LiDAR) technology from GeoScience Laser Altimeter System (GLAS) aboard Ice, Cloud, and Land Elevation satellite (ICESat) to derive canopy height estimate equations in the tropical forests of the Western Ghats, India. The interpretation of LiDAR waveforms for the purpose of estimating canopy heights is not straightforward, especially over sloping terrain where vegetation and ground are found at comparable heights. Canopy height models are developed using GLAS waveform extent and terrain index, derived from ASTER digital elevation, to counter the effect of topographic relief effects in canopy height estimates over steep terrain. The model was applied to calculate tree heights for whole of the Western Ghats. Results showed that the model can estimate tree heights within the specified height range with an accuracy of more than 90% while using percent overestimation/underestimation method of validation. This shows the effectiveness of the model, especially over steep slopes, also revealing that the models were able to successfully account for the pulse broadening effect. The study highlights the development of a LiDAR-based canopy height model for tropical forest and its ability to yield better canopy height estimates especially over steep slopes.
      PubDate: 2017-05-17
      DOI: 10.1007/s12518-017-0190-2
  • Correlated GNSS and temperature measurements at 10-minute intervals on the
           Severn Suspension Bridge
    • Authors: G. W. Roberts; C. J. Brown; X. Tang
      Abstract: Global Navigation Satellite System (GNSS) data were gathered on the 998-m-long Severn Suspension Bridge main span. The antennas were located on the tops of the four support towers, as well as five locations on the suspension cables; data were gathered at rates of 10 and 20 Hz. In addition, air and steel temperatures were gathered every 10 min. The GNSS data were processed in an On The Fly manner relative to a reference receiver located on a fixed position adjacent to the Bridge, and the resulting dataset was compared to the air and steel temperature data measurements, and correlations reported. Moving average filters that eliminate short-term movements due to wind loading and traffic loading were applied to the GNSS data, resulting in the longer-term deflections due to temperature changes every 10 min. The temperature over the 3 days varied by up to 10 °C, and movements of the order of decimetres were seen. Clear numerical correlations between the changes in temperature and the changes in height are presented when analysed at these 10-min intervals, suggesting that temperature compensation in structural health monitoring systems could be readily applied, resulting in a sustainable structure.
      PubDate: 2017-04-26
      DOI: 10.1007/s12518-017-0187-x
  • Visual inspection of fire-damaged concrete based on terrestrial laser
           scanner data
    • Authors: Wallace Mukupa; Craig Hancock; Gethin Roberts; Khalil Al-Manasir; Huib de Ligt; Zhicong Chen
      Abstract: Visual condition survey and inspection is typically the initial method employed in the assessment of concrete damaged by fire, and it is among the most significant non-destructive testing methods. In spite of visual inspection being simple in principle, it is capable of providing cardinal information about the condition of the fire-damaged structure and act as a basis upon which subsequent and detailed assessment methods can be founded. When concrete is exposed to various elevated temperatures, it undergoes change in its physical characteristics among others, and indicators such as change in surface texture, cracks, spalling and colour change become evident. These indicators of fire-damaged concrete can be assessed using visual inspection methods and further assessed with more advanced methods in a case where detailed investigations are needed. In this study, visual inspection of terrestrial laser scanner data of fire-damaged concrete was investigated by modelling and analysing laser intensity. An analysis of the generated intensity images from laser intensity data has proved useful and valuable in the visual inspection of concrete before and after heating. Furthermore, laser scanner geometric data has been used in the assessment of concrete surface roughness before and after heating.
      PubDate: 2017-04-25
      DOI: 10.1007/s12518-017-0188-9
  • Automation of point cloud processing to increase the deformation
           monitoring accuracy
    • Authors: Ján Erdélyi; Alojz Kopáčik; Imrich Lipták; Peter Kyrinovič
      Abstract: The weather conditions and the loading during operation cause changes in the shape of engineering structures that affect static and dynamic function and reliability of these structures. Due to this fact, geodetic monitoring is an integral part of engineering structure diagnostics and gives important information about the current state (condition) of the structure. Terrestrial laser scanning (TLS) is often used for data acquisition in cases, requiring 3D information with high resolution. Therefore, TLS is used in different surveying applications, even in deformation monitoring of buildings or engineering structures. TLS allows non-contact documentation of the behaviour of the monitored structure. The accuracy of determination of the 3D coordinates of single measured points by currently commercially available laser scanners is several millimetres. The precision can be increased using suitable data processing, when valid assumptions about the scanned surface are available. The paper presents the possibility of deformation monitoring using TLS. To increase the precision of the results, the chosen parts of the monitored structure are approximated by fitting planes to point cloud. In this case, the position of the monitored point (part of structure) is calculated from tens or hundreds of scanned points instead of a single measurement. An application based on software MATLAB®, Displacement_TLS, was developed for automated data processing. It takes only several minutes, as the calculation is executed automatically for all monitored points at once. The proposed method represents fast and simple data processing. Benefits of the proposed method are demonstrated by experimental measurements of different structures and building elements.
      PubDate: 2017-04-19
      DOI: 10.1007/s12518-017-0186-y
  • Erratum to: Spatially explicit uncertainty modeling of zoonotic pathogen
           distribution: a case of Listeria monocytogenes in New York State, USA
    • Authors: Rita Mwima; Anthony Gidudu; Allan Mazimwe; Arika Ligmann-Zielinska; Samuel Majalija; Margaret Khaitsa; John David Kabasa; Peter Bergholz
      PubDate: 2017-04-17
      DOI: 10.1007/s12518-017-0185-z
  • A comparative evaluation of various models for prediction of displacements
    • Abstract: One of the main subjects of Geodesy is the monitoring of position changes of artificial structures (buildings, dams, bridges etc.). Such position changes can be caused by a variety of reasons such as vehicles for cable bridges and earthquakes. Various mathematical models have been developed in order to monitor and to analyze this phenomenon. This study presents the main models which are used by geodesists for the description of points’ displacements. These are the descriptive models (which are separated into the congruence and the kinematic ones) and the cause-response models (which are separated into the static and the dynamic). Moreover, several models, which are based on time series analysis and are used mainly for the prediction of financial parameters, are referred in parallel. These are the smoothing models, the time series decomposition models, and the ARIMA models. All the abovementioned models are discussed and compared in order to emerge their advantages, disadvantages, and limitations. The goal of this study is to substantiate which of these models could be used with reliability for prediction of displacements. A case study using the most appropriate models is carried out. The experiment deals with the prediction of displacements of a set of permanent GNSS stations. The results proved that the linear kinematic models have the best performance, in comparison with the other examined models.
      PubDate: 2017-04-13
      DOI: 10.1007/s12518-017-0189-8
  • Multi-dimensional and multi-temporal motion estimation of a beam surface
           during dynamic testing using low-frame rate digital cameras
    • Authors: Ivan Detchev; Derek Lichti; Ayman Habib; Mamdouh El-Badry
      Abstract: The combination of digital close-range photogrammetric systems and image processing techniques has been employed in structural health monitoring applications for more than 10 years. The use of off-the-shelf entry level digital single-lens reflex cameras has lately become a suitable choice even for applications requiring sub-millimetre- level precision especially when the involved devices need to be inexpensive. The drawback of such low-cost cameras is in the trade-off between spatial resolution, frame rate, and burst rate—at the highest available spatial resolution, a high frame rate is either not possible or it has a low burst rate. This may be problematic when monitoring a structural component during a dynamic/fatigue test. In order to estimate specimen motion in such a situation, this paper proposes an innovative sinusoidal fitting based on a least squares adjustment. This method simultaneously processes multiple bursts of data in order to synthetically increase the sampling frequency of the system. The input data for the adjustment comes from a full surface modelling procedure based on a newly proposed generalized 3D polynomial. The experimental results include a beam deformation test performed in a structures laboratory. The new sinusoidal fitting method effectively increased the system temporal resolution three-fold, which improved the precision of the derived parameters with up to two orders of magnitude. The root mean square error of the residuals were as good as 26 μm, and the one of the estimated amplitudes from the photogrammetric system versus a set of laser transducers used as control was as small as 43 μm.
      PubDate: 2017-04-10
      DOI: 10.1007/s12518-017-0184-0
  • A simplified geographical information systems (GIS)-based methodology for
           modeling the topography of bedrock: illustration using the Canadian Shield
    • Authors: Romain Chesnaux; Mélanie Lambert; Julien Walter; Vianney Dugrain; Alain Rouleau; Réal Daigneault
      Abstract: Many geology, mining, and geotechnical applications require or depend upon some form of modeling of bedrock topography. Optimizing the manner with which bedrock topography is modeled poses a significant challenge because of the unpredictable or erratic presentation of the surface shape of bedrock. Unlike surface topography, bedrock topography is more difficult to determine because direct observation points are often not readily or directly accessible, unless the bedrock outcrops at the surface and is exposed, a relatively rare occurrence. When bedrock is covered by granular deposits, the only methods that allow practitioners to objectively establish the location of the top of the bedrock are to drill boreholes or conduct geophysical surveys. This makes the determination of bedrock topography not only difficult but also expensive. This study proposes a new approach for optimizing the modeling of complex bedrock topography, whose originality is based on the addition of “virtual” data points derived from cross-sections located between known boreholes. The proposed methodology is thus composed of four steps: gathering the maximum amount of relevant surface and subsurface data (from observation points), selecting the most appropriate technique for interpolating the observed bedrock elevations that will be entered into the dataset to be modeled, enriching the quantity of modeling data by adding “virtual” data elements based on geological interpretations of cross-sections (inserted into the model alongside the original objective data), and finally the modeling itself. The proposed approach is illustrated using data from a study area located in the Canadian Shield. Thousands of borehole records and surficial geological data as well as geological cross-section records were integrated to construct a three-dimensional bedrock topography model. The new proposed methodology can be applied to other regions worldwide.
      PubDate: 2017-02-24
      DOI: 10.1007/s12518-017-0183-1
  • Pushing the sensitivity limits of RTS-based continuous deformation
           monitoring of an alpine valley
    • Authors: Mariusz Frukacz; Robert Presl; Andreas Wieser; Daniele Favot
      Abstract: Monitoring applications may require operating robotic total stations (RTS) at the limit of their sensitivity with respect to target displacements. Thorough understanding and mitigation of systematic effects are required in order to reach or push this limit. We investigate some of these effects, in particular effects external to the total station, using data and experience gained from a continuously operating monitoring system installed at the terminus of the Great Aletsch Glacier in Switzerland. The system consists of two robotic total stations, about 60 prisms, four global navigation satellite system (GNSS) receivers, thermocouples, inclinometers, and meteo-sensors. The purpose of the monitoring is to study reversible deformations of the adjacent slopes, likely driven by snowmelt and mountain water level changes. The deformations reach the millimeter- to centimeter-level and shall be studied on time scales ranging from annual to sub-annual, and ideally even down to daily or sub-daily resolution. Our investigation focuses on four aspects: protective housing, pillar stability, refraction, and stability of orientation, all of which were found to affect the measurements on the milligon-level with lines-of-sight of up to 2 km. The results highlight signatures of apparent point displacements, and the discussion comprises approaches to bounding or mitigating these effects which may also be expected in similar monitoring situations at other locations.
      PubDate: 2017-01-21
      DOI: 10.1007/s12518-017-0182-2
  • Approximation algorithms for visibility computation and testing over a
    • Authors: Sharareh Alipour; Mohammad Ghodsi; Uğur Güdükbay; Morteza Golkari
      Abstract: Given a 2.5D terrain and a query point p on or above it, we want to find the triangles of terrain that are visible from p. We present an approximation algorithm to solve this problem. We implement the algorithm and test it on real data sets. The experimental results show that our approximate solution is very close to the exact solution and compared to the other similar works, the computational cost of our algorithm is lower. We analyze the computational complexity of the algorithm. We consider the visibility testing problem where the goal is to test whether a given triangle of the terrain is visible or not with respect to p. We present an algorithm for this problem and show that the average running time of this algorithm is the same as the running time of the case where we want to test the visibility between two query points p and q. We also propose a randomized algorithm for providing an estimate of the portion of the visible region of a terrain for a query point.
      PubDate: 2017-01-06
      DOI: 10.1007/s12518-016-0180-9
  • A polarimetric analysis of COSMO-SkyMed and RADARSAT-2 offset tracking
           derived velocities of David-Drygalski Glacier (Antarctica)
    • Authors: Andrea Lugli; Luca Vittuari
      Abstract: This paper deals with the comparison of coregistration offset tracking velocities in the inner part of the David Glacier (Antarctica), obtained with SAR sensors characterized by different wavelengths and spatial resolutions: Cosmo-SkyMED (X band) and RADARSAT-2 (C band). Particular attention has been devoted to understand the role of polarization and penetration depth of the incident wavelength, which represent key parameters in determining the effective incidence angle and so, for this reason, affecting also derived velocities. Metric validation of offset tracking derived velocities was obtained with respect to a geodetic GPS point available in the study area and to a velocity field derived from Landsat imagery coregistration.
      PubDate: 2016-12-29
      DOI: 10.1007/s12518-016-0181-8
  • Spatially explicit uncertainty modeling of zoonotic pathogen distribution:
           a case of Listeria monocytogenes in New York State, USA
    • Authors: Rita Mwima; Anthony Gidudu; Allan Mazimwe; Arika Ligmann-Zielinska; Samuel Majalija; Margaret Khaitsa; John David Kabasa; Peter Bergholz
      Abstract: Listeria monocytogenes is a bacterium that is responsible for causing Listeria, a disease that has a wide range of adverse effects such as meningitis, bacteremia, complications during pregnancy, and other fatal illnesses especially among those whose immune systems are compromised. The purpose of this study was to establish hotspot candidate sites in New York State where the L. monocytogenes pathogen could be found. Several suitability criteria which include proximity to water, pasture, forests, and urban development and slope among others in New York State were considered in this analysis. This study assessed which spatial habitat factors influence habitat suitability of the L. monocytogenes pathogen in the forested areas of New York State. Multicriteria evaluation was used to integrate the different habitat factors using their different weights expressed using probability distributions. Spatially explicit uncertainty and sensitivity analysis (UA and SA) was carried out to examine the robustness of habitat suitability analysis. Suitability maps were generated and summarized using an average suitability map, a standard deviation uncertainty map, and sensitivity maps. Results showed that the shallowest depth to a wet soil layer (measured annually) and proximity to water are the habitat factors which contribute the most and individually to the distribution and survival of this pathogen. The slope gradient is singly insignificant but influential when associated with other factors like temperature, soil organic matter content, volume of water soil can store, proximity to forest, urban development, and pasture among others. It was established that water is the key habitat factor that favors the survival of this pathogen. Also, the ability to spatially model zoonotic pathogen hotspots is important in zoonoses control, informing and influencing policy. From these results, it is important to maintain the water quality of the water sources (lakes, rivers, ponds) and ensure that there is limited runoff from slopes.
      PubDate: 2016-12-24
      DOI: 10.1007/s12518-016-0177-4
  • Mapping of potential Cu and Au mineralization using EBF method
    • Authors: Majid Mohammady Oskouei; Fariba Soltani
      Abstract: Theory of data-driven evidential belief function (EBF) is based on generalized Bayesian probabilities. It computes the reliability of evidences according to the presence or absence of known indices. This method has a reliable performance even in the case of limitation of data layers diversity. The study aims to detect the most probable regions for copper and gold mineralization in Takhte-h-Soleiman, Iran using EBF method. The available data layers including lithological map, faults, geochemical anomalies and known indices maps were processed to generate a potential map for the study area. The “belief”, “disbelief”, “uncertainty” and “plausibility” functions were therefore calculated based on data-driven EBF for each pattern of evidences in two different classification types. The data layers were then combined with the use of the EBF AND-OR operators, and the “belief” map was proposed as a target recognition map for following detail explorations. As a validation criterion, the ratio of indices number to the total area of the most favourable regions in each map was computed. According to the highest ratio for the belief map resulted by integrated AND-OR operators on equal interval classification (0.62), it was selected as the target map for primary explorations.
      PubDate: 2016-12-19
      DOI: 10.1007/s12518-016-0178-3
  • Evaluation of pan-sharpening methods for spatial and spectral quality
    • Authors: Jagalingam Pushparaj; Arkal Vittal Hegde
      Abstract: Many pan-sharpening methods have been proposed to fuse the high spectral and low spatial resolution of multispectral (MS) image with the high spatial resolution of panchromatic (PAN) image to produce a multispectral image with improved spatial resolution. In this study, the effectiveness of pan-sharpening methods such as principal component analysis (PCA), brovey transform (BT), modified intensity hue saturation (M-IHS), multiplicative, wavelet-intensity-hue-saturation (W-IHS), wavelet principal component analysis (W-PCA), hyperspectral colour space (HCS), high-pass filter (HPF), gram-schmidt (GS), subtractive resolution merge (SRM), Fuze Go and Ehlers was assessed and compared by fusing the PAN and MS imagery of Quickbird-2. The qualities of the pan-sharpening methods were evaluated by both visual and quantitative analyses with respect to spatial and spectral fidelity. In quantitative analysis, the spectral indices such as spectral angle mapper (SAM), relative dimensionless global error in synthesis (ERGAS), structural similarity index method (SSIM), relative average spectral error (RASE), correlation coefficient (CC) and universal image quality index (Q) were used. The spatial indices such as spatial correlation coefficient (SCC), gradient and image entropy (E) were used. The result of both analyses revealed that the Ehlers and Fuze Go methods performed better than the other methods. The Ehlers method was superior by retaining the colour information, and Fuze Go best enhanced the spatial details in the fused image.
      PubDate: 2016-12-13
      DOI: 10.1007/s12518-016-0179-2
  • Cartographic data harmonisation for a cross-border project development
    • Authors: Francesca Noardo; Andrea Lingua; Irene Aicardi; Bartolomeo Vigna
      Abstract: An essential support for environmental monitoring activities is a rigorous definition of a homogeneous cartographic system, required to correctly georeference and analyse the acquired data. Furthermore, since 2007, the European Infrastructure for Spatial Information in the European Community (INSPIRE) Directive affirms the necessity to harmonise the European maps for permitting cross-border analysis. For satisfying these requirements, the authors have developed a procedure for the cartographic harmonisation in the cross-border area studied during the European project Alpes Latines-Coopération Transfrontalière (ALCOTRA)–Alpes Latines-Individuation Resources Hydriques Souterraines (ALIRHyS). It concerns the hydrogeological study of various springs and other water resources in an area between Italy and France including their constitution in a cross-border system. The basic cartographic information is obtained from existing national maps (Italian and French data), which use different coordinate systems or projection methods and are produced from different data acquisitions and processes. In this paper, the authors describe the methods used to obtain well-harmonised middle-scale maps (aerial orthophotos, digital terrain model and digital maps). The processing has been performed using geographic information system (GIS) solutions or image analysis software in order to obtain useful and correct cartographic support for the monitoring data, even if the obtained maps could be further analysed or refined in future works.
      PubDate: 2016-06-17
      DOI: 10.1007/s12518-016-0172-9
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