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Publisher: Springer-Verlag (Total: 2350 journals)

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Showing 1 - 200 of 2350 Journals sorted alphabetically
3D Printing in Medicine     Open Access  
3D Research     Hybrid Journal   (Followers: 21, SJR: 0.222, CiteScore: 1)
4OR: A Quarterly J. of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.825, CiteScore: 1)
AAPS J.     Hybrid Journal   (Followers: 22, SJR: 1.118, CiteScore: 4)
AAPS PharmSciTech     Hybrid Journal   (Followers: 7, SJR: 0.752, CiteScore: 3)
Abdominal Imaging     Hybrid Journal   (Followers: 14, SJR: 0.866, CiteScore: 2)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 4, SJR: 0.439, CiteScore: 0)
Academic Psychiatry     Full-text available via subscription   (Followers: 23, SJR: 0.53, CiteScore: 1)
Academic Questions     Hybrid Journal   (Followers: 8, SJR: 0.106, CiteScore: 0)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 26, SJR: 0.316, CiteScore: 1)
Acoustical Physics     Hybrid Journal   (Followers: 11, SJR: 0.359, CiteScore: 1)
Acoustics Australia     Hybrid Journal   (SJR: 0.232, CiteScore: 1)
Acta Analytica     Hybrid Journal   (Followers: 7, SJR: 0.367, CiteScore: 0)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1, SJR: 0.675, CiteScore: 1)
Acta Biotheoretica     Hybrid Journal   (Followers: 4, SJR: 0.284, CiteScore: 1)
Acta Diabetologica     Hybrid Journal   (Followers: 17, SJR: 1.587, CiteScore: 3)
Acta Endoscopica     Hybrid Journal   (Followers: 1)
acta ethologica     Hybrid Journal   (Followers: 4, SJR: 0.769, CiteScore: 1)
Acta Geochimica     Hybrid Journal   (Followers: 6, SJR: 0.24, CiteScore: 1)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 2, SJR: 0.305, CiteScore: 1)
Acta Geotechnica     Hybrid Journal   (Followers: 7, SJR: 1.588, CiteScore: 3)
Acta Informatica     Hybrid Journal   (Followers: 5, SJR: 0.517, CiteScore: 1)
Acta Mathematica     Hybrid Journal   (Followers: 12, SJR: 7.066, CiteScore: 3)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2, SJR: 0.452, CiteScore: 1)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 6, SJR: 0.379, CiteScore: 1)
Acta Mathematica Vietnamica     Hybrid Journal   (SJR: 0.27, CiteScore: 0)
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal   (SJR: 0.208, CiteScore: 0)
Acta Mechanica     Hybrid Journal   (Followers: 21, SJR: 1.04, CiteScore: 2)
Acta Mechanica Sinica     Hybrid Journal   (Followers: 5, SJR: 0.607, CiteScore: 2)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 7, SJR: 0.576, CiteScore: 2)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.638, CiteScore: 1)
Acta Neurochirurgica     Hybrid Journal   (Followers: 6, SJR: 0.822, CiteScore: 2)
Acta Neurologica Belgica     Hybrid Journal   (Followers: 1, SJR: 0.376, CiteScore: 1)
Acta Neuropathologica     Hybrid Journal   (Followers: 5, SJR: 7.589, CiteScore: 12)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.334, CiteScore: 1)
Acta Parasitologica     Hybrid Journal   (Followers: 10, SJR: 0.641, CiteScore: 1)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.574, CiteScore: 2)
Acta Politica     Hybrid Journal   (Followers: 14, SJR: 0.605, CiteScore: 1)
Activitas Nervosa Superior     Hybrid Journal   (SJR: 0.147, CiteScore: 0)
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 6, SJR: 0.103, CiteScore: 0)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 23, SJR: 0.72, CiteScore: 2)
Adhesion Adhesives & Sealants     Hybrid Journal   (Followers: 9)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 16, SJR: 1.005, CiteScore: 2)
Adsorption     Hybrid Journal   (Followers: 4, SJR: 0.703, CiteScore: 2)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 4, SJR: 0.698, CiteScore: 1)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 37, SJR: 0.956, CiteScore: 2)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 19, SJR: 0.812, CiteScore: 1)
Advances in Contraception     Hybrid Journal   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 51, SJR: 1.09, CiteScore: 1)
Advances in Gerontology     Partially Free   (Followers: 8, SJR: 0.144, CiteScore: 0)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 28, SJR: 1.64, CiteScore: 2)
Advances in Manufacturing     Hybrid Journal   (Followers: 3, SJR: 0.475, CiteScore: 2)
Advances in Polymer Science     Hybrid Journal   (Followers: 43, SJR: 1.04, CiteScore: 3)
Advances in Therapy     Hybrid Journal   (Followers: 5, SJR: 1.075, CiteScore: 3)
Aegean Review of the Law of the Sea and Maritime Law     Hybrid Journal   (Followers: 6)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2, SJR: 0.517, CiteScore: 1)
Aerobiologia     Hybrid Journal   (Followers: 3, SJR: 0.673, CiteScore: 2)
Aesthetic Plastic Surgery     Hybrid Journal   (Followers: 9, SJR: 0.825, CiteScore: 1)
African Archaeological Review     Hybrid Journal   (Followers: 16, SJR: 0.862, CiteScore: 1)
Afrika Matematika     Hybrid Journal   (Followers: 1, SJR: 0.235, CiteScore: 0)
AGE     Hybrid Journal   (Followers: 7)
Ageing Intl.     Hybrid Journal   (Followers: 7, SJR: 0.39, CiteScore: 1)
Aggiornamenti CIO     Hybrid Journal   (Followers: 1)
Aging Clinical and Experimental Research     Hybrid Journal   (Followers: 3, SJR: 0.67, CiteScore: 2)
Agricultural Research     Hybrid Journal   (Followers: 4, SJR: 0.276, CiteScore: 1)
Agriculture and Human Values     Hybrid Journal   (Followers: 14, SJR: 1.173, CiteScore: 3)
Agroforestry Systems     Hybrid Journal   (Followers: 19, SJR: 0.663, CiteScore: 1)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 12, SJR: 1.864, CiteScore: 6)
AI & Society     Hybrid Journal   (Followers: 8, SJR: 0.227, CiteScore: 1)
AIDS and Behavior     Hybrid Journal   (Followers: 14, SJR: 1.792, CiteScore: 3)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4, SJR: 0.862, CiteScore: 3)
Akupunktur & Aurikulomedizin     Full-text available via subscription   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 5, SJR: 0.531, CiteScore: 0)
Algebra Universalis     Hybrid Journal   (Followers: 2, SJR: 0.583, CiteScore: 1)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1, SJR: 1.095, CiteScore: 1)
Algorithmica     Hybrid Journal   (Followers: 9, SJR: 0.56, CiteScore: 1)
Allergo J.     Full-text available via subscription   (Followers: 1, SJR: 0.234, CiteScore: 0)
Allergo J. Intl.     Hybrid Journal   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 5, SJR: 1.11, CiteScore: 3)
ALTEX : Alternatives to Animal Experimentation     Open Access   (Followers: 3)
AMBIO     Hybrid Journal   (Followers: 11, SJR: 1.569, CiteScore: 4)
American J. of Cardiovascular Drugs     Hybrid Journal   (Followers: 16, SJR: 0.951, CiteScore: 3)
American J. of Community Psychology     Hybrid Journal   (Followers: 28, SJR: 1.329, CiteScore: 2)
American J. of Criminal Justice     Hybrid Journal   (Followers: 8, SJR: 0.772, CiteScore: 1)
American J. of Cultural Sociology     Hybrid Journal   (Followers: 15, SJR: 0.46, CiteScore: 1)
American J. of Dance Therapy     Hybrid Journal   (Followers: 4, SJR: 0.181, CiteScore: 0)
American J. of Potato Research     Hybrid Journal   (Followers: 2, SJR: 0.611, CiteScore: 1)
American J. of Psychoanalysis     Hybrid Journal   (Followers: 21, SJR: 0.314, CiteScore: 0)
American Sociologist     Hybrid Journal   (Followers: 12, SJR: 0.35, CiteScore: 0)
Amino Acids     Hybrid Journal   (Followers: 8, SJR: 1.135, CiteScore: 3)
AMS Review     Partially Free   (Followers: 4)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7, SJR: 0.211, CiteScore: 1)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 5, SJR: 0.536, CiteScore: 1)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Analysis of Verbal Behavior     Hybrid Journal   (Followers: 5)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 32, SJR: 0.978, CiteScore: 3)
Anatomical Science Intl.     Hybrid Journal   (Followers: 2, SJR: 0.367, CiteScore: 1)
Angewandte Schmerztherapie und Palliativmedizin     Hybrid Journal  
Angiogenesis     Hybrid Journal   (Followers: 3, SJR: 2.177, CiteScore: 5)
Animal Cognition     Hybrid Journal   (Followers: 19, SJR: 1.389, CiteScore: 3)
Annales françaises de médecine d'urgence     Hybrid Journal   (Followers: 1, SJR: 0.192, CiteScore: 0)
Annales Henri Poincaré     Hybrid Journal   (Followers: 3, SJR: 1.097, CiteScore: 2)
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4, SJR: 0.438, CiteScore: 0)
Annali dell'Universita di Ferrara     Hybrid Journal   (SJR: 0.429, CiteScore: 0)
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1, SJR: 1.197, CiteScore: 1)
Annals of Biomedical Engineering     Hybrid Journal   (Followers: 18, SJR: 1.042, CiteScore: 3)
Annals of Combinatorics     Hybrid Journal   (Followers: 4, SJR: 0.932, CiteScore: 1)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Dyslexia     Hybrid Journal   (Followers: 10, SJR: 0.85, CiteScore: 2)
Annals of Finance     Hybrid Journal   (Followers: 30, SJR: 0.579, CiteScore: 1)
Annals of Forest Science     Hybrid Journal   (Followers: 7, SJR: 0.986, CiteScore: 2)
Annals of Global Analysis and Geometry     Hybrid Journal   (Followers: 1, SJR: 1.228, CiteScore: 1)
Annals of Hematology     Hybrid Journal   (Followers: 16, SJR: 1.043, CiteScore: 2)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12, SJR: 0.413, CiteScore: 1)
Annals of Microbiology     Hybrid Journal   (Followers: 10, SJR: 0.479, CiteScore: 2)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 4, SJR: 0.687, CiteScore: 2)
Annals of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.943, CiteScore: 2)
Annals of Ophthalmology     Hybrid Journal   (Followers: 12)
Annals of Regional Science     Hybrid Journal   (Followers: 7, SJR: 0.614, CiteScore: 1)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of Solid and Structural Mechanics     Hybrid Journal   (Followers: 9, SJR: 0.239, CiteScore: 1)
Annals of Surgical Oncology     Hybrid Journal   (Followers: 14, SJR: 1.986, CiteScore: 4)
Annals of Telecommunications     Hybrid Journal   (Followers: 9, SJR: 0.223, CiteScore: 1)
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1, SJR: 1.495, CiteScore: 1)
Antonie van Leeuwenhoek     Hybrid Journal   (Followers: 5, SJR: 0.834, CiteScore: 2)
Apidologie     Hybrid Journal   (Followers: 4, SJR: 1.22, CiteScore: 3)
APOPTOSIS     Hybrid Journal   (Followers: 8, SJR: 1.424, CiteScore: 4)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2, SJR: 0.294, CiteScore: 1)
Applications of Mathematics     Hybrid Journal   (Followers: 2, SJR: 0.602, CiteScore: 1)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 43, SJR: 0.571, CiteScore: 2)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 17, SJR: 0.21, CiteScore: 1)
Applied Cancer Research     Open Access  
Applied Categorical Structures     Hybrid Journal   (Followers: 2, SJR: 0.49, CiteScore: 0)
Applied Composite Materials     Hybrid Journal   (Followers: 49, SJR: 0.58, CiteScore: 2)
Applied Entomology and Zoology     Partially Free   (Followers: 3, SJR: 0.422, CiteScore: 1)
Applied Geomatics     Hybrid Journal   (Followers: 3, SJR: 0.733, CiteScore: 3)
Applied Geophysics     Hybrid Journal   (Followers: 8, SJR: 0.488, CiteScore: 1)
Applied Intelligence     Hybrid Journal   (Followers: 12, SJR: 0.6, CiteScore: 2)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.319, CiteScore: 1)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 6, SJR: 0.886, CiteScore: 1)
Applied Mathematics - A J. of Chinese Universities     Hybrid Journal   (SJR: 0.17, CiteScore: 0)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.461, CiteScore: 1)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 63, SJR: 1.182, CiteScore: 4)
Applied Physics A     Hybrid Journal   (Followers: 9, SJR: 0.481, CiteScore: 2)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 24, SJR: 0.74, CiteScore: 2)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8, SJR: 0.519, CiteScore: 2)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 12, SJR: 0.316, CiteScore: 1)
Applied Solar Energy     Hybrid Journal   (Followers: 18, SJR: 0.225, CiteScore: 0)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4, SJR: 0.542, CiteScore: 1)
Aquaculture Intl.     Hybrid Journal   (Followers: 22, SJR: 0.591, CiteScore: 2)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 1)
Aquatic Ecology     Hybrid Journal   (Followers: 33, SJR: 0.656, CiteScore: 2)
Aquatic Geochemistry     Hybrid Journal   (Followers: 4, SJR: 0.591, CiteScore: 1)
Aquatic Sciences     Hybrid Journal   (Followers: 13, SJR: 1.109, CiteScore: 3)
Arabian J. for Science and Engineering     Hybrid Journal   (Followers: 5, SJR: 0.303, CiteScore: 1)
Arabian J. of Geosciences     Hybrid Journal   (Followers: 2, SJR: 0.319, CiteScore: 1)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 20, SJR: 1.052, CiteScore: 2)
Archaeologies     Hybrid Journal   (Followers: 12, SJR: 0.224, CiteScore: 0)
Archiv der Mathematik     Hybrid Journal   (Followers: 1, SJR: 0.725, CiteScore: 1)
Archival Science     Hybrid Journal   (Followers: 59, SJR: 0.745, CiteScore: 2)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 8, SJR: 0.186, CiteScore: 1)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 2, SJR: 0.909, CiteScore: 1)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (SJR: 3.93, CiteScore: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.79, CiteScore: 2)
Archives and Museum Informatics     Hybrid Journal   (Followers: 146, SJR: 0.101, CiteScore: 0)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5, SJR: 1.41, CiteScore: 5)
Archives of Dermatological Research     Hybrid Journal   (Followers: 7, SJR: 1.006, CiteScore: 2)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 14, SJR: 0.773, CiteScore: 2)
Archives of Gynecology and Obstetrics     Hybrid Journal   (Followers: 16, SJR: 0.956, CiteScore: 2)
Archives of Microbiology     Hybrid Journal   (Followers: 8, SJR: 0.644, CiteScore: 2)
Archives of Orthopaedic and Trauma Surgery     Hybrid Journal   (Followers: 8, SJR: 1.146, CiteScore: 2)
Archives of Osteoporosis     Hybrid Journal   (Followers: 2, SJR: 0.71, CiteScore: 2)
Archives of Sexual Behavior     Hybrid Journal   (Followers: 10, SJR: 1.493, CiteScore: 3)
Archives of Toxicology     Hybrid Journal   (Followers: 17, SJR: 1.541, CiteScore: 5)
Archives of Virology     Hybrid Journal   (Followers: 5, SJR: 0.973, CiteScore: 2)
Archives of Women's Mental Health     Hybrid Journal   (Followers: 14, SJR: 1.274, CiteScore: 3)
Archivio di Ortopedia e Reumatologia     Hybrid Journal  
Archivum Immunologiae et Therapiae Experimentalis     Hybrid Journal   (Followers: 2, SJR: 0.946, CiteScore: 3)
ArgoSpine News & J.     Hybrid Journal  
Argumentation     Hybrid Journal   (Followers: 5, SJR: 0.349, CiteScore: 1)
Arid Ecosystems     Hybrid Journal   (Followers: 2, SJR: 0.2, CiteScore: 0)
Arkiv för Matematik     Hybrid Journal   (Followers: 1, SJR: 0.766, CiteScore: 1)
Arnold Mathematical J.     Hybrid Journal   (Followers: 1, SJR: 0.355, CiteScore: 0)
Arthropod-Plant Interactions     Hybrid Journal   (Followers: 2, SJR: 0.839, CiteScore: 2)
Arthroskopie     Hybrid Journal   (Followers: 1, SJR: 0.131, CiteScore: 0)
Artificial Intelligence and Law     Hybrid Journal   (Followers: 11, SJR: 0.937, CiteScore: 2)
Artificial Intelligence Review     Hybrid Journal   (Followers: 14, SJR: 0.833, CiteScore: 4)
Artificial Life and Robotics     Hybrid Journal   (Followers: 9, SJR: 0.226, CiteScore: 0)
Asia Europe J.     Hybrid Journal   (Followers: 5, SJR: 0.504, CiteScore: 1)
Asia Pacific Education Review     Hybrid Journal   (Followers: 12, SJR: 0.479, CiteScore: 1)
Asia Pacific J. of Management     Hybrid Journal   (Followers: 16, SJR: 1.185, CiteScore: 2)
Asia-Pacific Education Researcher     Hybrid Journal   (Followers: 12, SJR: 0.353, CiteScore: 1)
Asia-Pacific Financial Markets     Hybrid Journal   (Followers: 2, SJR: 0.187, CiteScore: 0)
Asia-Pacific J. of Atmospheric Sciences     Hybrid Journal   (Followers: 19, SJR: 0.855, CiteScore: 1)
Asian Business & Management     Hybrid Journal   (Followers: 9, SJR: 0.378, CiteScore: 1)
Asian J. of Business Ethics     Hybrid Journal   (Followers: 9)
Asian J. of Criminology     Hybrid Journal   (Followers: 5, SJR: 0.543, CiteScore: 1)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2, SJR: 0.548, CiteScore: 1)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5, SJR: 0.183, CiteScore: 0)
ästhetische dermatologie & kosmetologie     Full-text available via subscription  

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Journal Cover
Applied Geomatics
Journal Prestige (SJR): 0.733
Citation Impact (citeScore): 3
Number of Followers: 3  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1866-928X - ISSN (Online) 1866-9298
Published by Springer-Verlag Homepage  [2350 journals]
  • Modeling of inland flood vulnerability zones through remote sensing and
           GIS techniques in the highland region of Papua New Guinea
    • Authors: Porejane Harley; Sailesh Samanta
      Pages: 159 - 171
      Abstract: Papua New Guinea (PNG) is saddled with frequent natural disasters like earthquakes, volcanic eruptions, landslides, droughts, floods, etc. Flooding, as a hydrological disaster to humankind’s niche, brings about a powerful and often sudden, pernicious change in the surface distribution of water on land, while the benevolence of flooding manifests in restoring the health of the thalweg from excessive siltation by redistributing the fertile sediments on the riverine floodplains. In respect to social, economic, and environmental perspectives, flooding is one of the most devastating disasters in PNG. This research is conducted to investigate the usefulness of remote sensing (RS), the geographic information system (GIS), and multi-criteria analysis (MCA) for flood susceptibility mapping. MCA methods such as weighted linear combination (WLC) and analytical hierarchy processes (AHP) were used to assess flood vulnerability in the Wahgi catchment area through RS and GIS technology. In the study, attention was focused on different parameters that cause flooding. These parameters include elevation, slope, distance from drainage, soil texture, soil drainage, rainfall, landform, and land use and land cover. The classes within parameters were ranked and suitably weighted depending on their influence to flooding with reference to the PNG Resource Information System (PNGRIS) metadata. The result of the analysis is a flood-susceptibility map showing the most vulnerable areas. This type of map is very useful for better management, planning, and mitigation of future flooding in the Wahgi catchment area. The validation of the flood-susceptibility map was carried out using past flood records in the study area.
      PubDate: 2018-06-01
      DOI: 10.1007/s12518-018-0220-8
      Issue No: Vol. 10, No. 2 (2018)
       
  • Geomatics for economic archaeological documentation and management
    • Authors: Rami Al-Ruzouq; Senthilkumar Venkatachalam; Abdelrahman Abueladas; Saleh Abu Dabous
      Abstract: Restoration of heritage sites from their remains is a challenging task, as the required geospatial and geophysical data are generally incomplete and complex in nature. These data are typically collected using multiple disciplines/techniques such as GIS, remote sensing, photogrammetry and ground penetration radar (GPR), to record and document factual and accurate information. This research proposes an integrated data collection and management practice towards achieving a structured archaeological documentation process with minimal or no damage to the existing structure. The process includes the integration of archaeological information from aerial stereo photographs, satellite images, global positioning systems (GPS) and GPR profiles. This approach is demonstrated through a fourth century ancient Greco-Roman city in Jordan (Umm Qais). Various abstract levels of details have been generated including orthophoto, digital elevation model (DEM) and vector site layout of buildings and infrastructure. Further, the GPR analysis shows the existence of shallow discontinuous and shifted buried walls, which indicates that the site was affected by a possible earthquake during the historical period. The developed 3D geospatial archaeological database for Umm Qais City can be utilised for various purposes such as archaeological documentation, conservation, monitoring, restoration, tourism and urban planning. The study also outlines the schedule of various processes and the cost estimate associated with the development of the integrated 3D geospatial archaeological database.
      PubDate: 2018-06-02
      DOI: 10.1007/s12518-018-0227-1
       
  • 3D recording of ancient wooden boats for scientific and educational
           purposes
    • Authors: Elisa Costa; Francesco Guerra
      Abstract: Digital survey techniques are well established in the cultural and archaeological heritage fields and they have been used by us to document, study and promote knowledge on ancient ships and wooden boats. In this paper, we want to show four case studies with different peculiarity on which digital techniques have been applied: (1) ‘Comacchio sewn boat’, discovered in a land excavation site. (2) ‘Ercolano boat’, restored and exposed in a museum. (3) ‘Trabaccolo Nuovo Trionfo’, historical carriage boat of High-Adriatic sea. (4) Wooden scaled model of ‘brick Cygne’. These represent a peculiar application, complicated by the specific nature of the material of the boats, due to the structural stability and the shape of the wood that could be compromised in an aerobic environment. The archaeologists have the responsibility to employ a fast documentation, but with the correct precision and accuracy for the nominal scale of the survey; the use of digital imaging and survey techniques supports the researchers, such as video and photograph recording, multi-image photogrammetry and laser scanning, and the subsequent elaboration of a virtual 3D model of the real surveyed artefact. This allows scrupulous study of ancient naval construction from both a scientific and disseminative point of view to take place, permitting to increase the knowledge and perception by the general public of this important archaeological and historical heritage.
      PubDate: 2018-06-01
      DOI: 10.1007/s12518-018-0228-0
       
  • Point clouds by SLAM-based mobile mapping systems: accuracy and geometric
           content validation in multisensor survey and stand-alone acquisition
    • Authors: Giulia Sammartano; Antonia Spanò
      Abstract: The paper provides some operative replies to evaluate the effectiveness and the critical issues of the simultaneous localisation and mapping (SLAM)-based mobile mapping system (MMS) called ZEB by GeoSLAM™ https://geoslam.com/technology/. In these last years, this type of handheld 3D mapping technology has increasingly developed the framework of portable solutions for close-range mapping systems that have mainly been devoted to mapping the indoor building spaces of enclosed or underground environments, such as forestry applications and tunnels or mines. The research introduces a set of test datasets related to the documentation of landscape contexts or the 3D modelling of architectural complexes. These datasets are used to validate the accuracy and informative content richness about ZEB point clouds in stand-alone solutions and in cases of combined applications of this technology with multisensor survey approaches. In detail, the proposed validation method follows the fulfilment of the endorsed approach by use of root mean square error (RMSE) evaluation and deviation analysis assessment of point clouds between SLAM-based data and 3D point cloud surfaces computed by more precise measurement methods to evaluate the accuracy of the proposed approach. Furthermore, this study specifies the suitable scale for possible handlings about these peculiar point clouds and uses the profile extraction method in addition to feature analyses such as corner and plane deviation analysis of architectural elements. Finally, because of the experiences reported in the literature and performed in this work, a possible reversal is suggested. If in the 2000s, most studies focused on intelligently reducing the light detection and ranging (LiDAR) point clouds where they presented redundant and not useful information, contrariwise, in this sense, the use of MMS methods is proposed to be firstly considered and then to increase the information only wherever needed with more accurate high-scale methods.
      PubDate: 2018-06-01
      DOI: 10.1007/s12518-018-0221-7
       
  • Local-scale accuracy assessment of vegetation cover change maps derived
           from Global Forest Change data, ClasLite, and supervised classifications:
           case study at part of Riau Province, Indonesia
    • Authors: Sanjiwana Arjasakusuma; Muhammad Kamal; Muhammad Hafizt; Hernandea Frieda Forestriko
      Abstract: Massive deforestation in Indonesia drives the need for proper monitoring using appropriate technology and method. The continuing mission of Landsat sensor extends the observation to almost 30 years back, initiating the ability to monitor the dynamics of vegetation intensively. By taking the advantage of the Landsat archive, advanced semi-automatic classification method, namely ClasLite developed by Asner et al. (J Appl Remote Sens 3:33543–33543, 2009) and a new end-product of 30 m Global Forest Cover Change cover (GFC) datasets developed by (Hansen et al. in Science 342:850–853, 2013a), offered the ability to easily monitor deforestation and forest degradation with little or few knowledge of mapping. This study aims to assess the performance of these newly available products of GFC and the ClasLite method against the traditional pixel-based supervised classification of minimum distance to mean (MD), maximum likelihood (ML), spectral angle mapper (SAM), and random forest (RF). Visual image interpretation of pan-sharpened Landsat was carried out to measure the accuracy of each final map. Result demonstrated that GFC and CLaslite performance has 3 to 18% higher overall accuracy for mapping vegetation cover change compared with the conventional supervised analysis using MD, ML, SAM, and RF with ClasLite as the most accurate method with 78.14 ± 2%. Further adjustment of the cover change map of GFC by using forest extent from ClasLite was able to increase the accuracy of the original GFC data by 10%. Therefore, GFC and ClasLite ensure the ability to monitor vegetation cover change accurately in a simple manner.
      PubDate: 2018-05-31
      DOI: 10.1007/s12518-018-0226-2
       
  • Surveying cultural heritage: summer school for conservation activities
    • Authors: Cristiana Achille; Francesco Fassi; Alessandro Mandelli; Fausta Fiorillo
      Abstract: Since 2011, the 3DSurvey Group of Politecnico di Milano organises an annual summer school programme entitled ‘Laboratory of Places, Ghesc and surroundings, history, survey, evolution’. This activity is patronised by the International Council on Monuments and Sites (ICOMOS) Italia and developed in collaboration with the Canova Association. This is a non-profit organisation founded in 2001 in the mediaeval village of Canova (Oira di Crevoladossola, Italy) and it is an institutional member of ICOMOS Italy since 2010. Its primary goal is the preservation and enhancement of rural, mediaeval stone architecture. From 2017, the summer school is also sponsored by ISPRS society. The case study of the course is the charming, abandoned mediaeval village of Ghesc, located in the hamlet of Montecrestese, Domodossola (Italy). There, the Laboratory aims to create a workspace where students, freelancers, teachers and members of the association can work to the documentation of the ancient village and actively contribute to its rediscovery and conservation. In particular, the research activity carried out in recent years by 3DSurvey Group and Canova Association deals with all the historical and architectural artefacts in the Ossola territory, even if they do not belong to the category of monumental bounded works. The general rural architecture also includes suburban complexes made up of buildings that do not have unique architectural values by themselves but considered together represent the construction tradition of the Ossola Valley.
      PubDate: 2018-05-24
      DOI: 10.1007/s12518-018-0225-3
       
  • Prediction of spatio-temporal land use/land cover dynamics in rapidly
           developing Varanasi district of Uttar Pradesh, India, using geospatial
           approach: a comparison of hybrid models
    • Authors: Varun Narayan Mishra; Praveen Kumar Rai; Rajendra Prasad; Milap Punia; Mărgărit-Mircea Nistor
      Abstract: Land use/land cover changes (LULCC) are one of the foremost aspects of environmental changes caused by human-induced activities mainly in rapidly developing areas. This study endeavors to evaluate and compare three hybrid models: stochastic Markov chain (ST-MC), cellular automata-Markov chain (CA-MC), and multi-layer perceptron-Markov chain (MLP-MC) to predict future land use/land cover (LULC) scenario in Varanasi district. LULC information extracted for years 1988 and 2001 was first employed to predict LULC scenario for 2015 using three hybrid models. The predicted results were compared with the observed LULC information for the year 2015 to appraise the validity of models through kappa index statistics. The MLP-MC model yielded reliable and best results. Finally, based on this consequence, the prediction of future LULC scenarios for years 2030 and 2050 was performed. The findings of this study exhibited the constant but overall increase of built up area and a considerable reduction in agricultural land. The results also demonstrate the potentiality of MLP-MC hybrid model for better understanding of spatio-temporal dynamics and predicting future landsacpe scenario in Varanasi district of Uttar Pradesh, India.
      PubDate: 2018-05-22
      DOI: 10.1007/s12518-018-0223-5
       
  • Parameter optimization for creating reliable photogrammetric models in
           emergency scenarios
    • Authors: S. Gagliolo; R. Fagandini; D. Passoni; B. Federici; I. Ferrando; D. Pagliari; L. Pinto; D. Sguerso
      Abstract: An optimized planning and realization of the survey, coupled with well thought-out processing, allows obtaining good quality results, while guaranteeing a reasonable use of resources and time. It represents a benefit for both operators and end-users. The former can save time and acquire smaller datasets to process, while the latter can invest their resources better. These goals are even more important in case of an emergency, because the circumstances can quickly change, causing risk to both people and goods. The paper examines the possibility of using unmanned aerial systems (UAS) photogrammetry for 3D modeling in such scenario, focusing on finding a compromise between the final accuracy and the requested processing time. An experimental test has been conducted over the Castle of Casalbagliano, a damaged structure located near Alessandria (Piedmont, Italy), simulating a post-emergency scenario. Several processing strategies have been tested to define a workflow useful in this kind of situations. The quality of the different processing has been evaluated in terms of both residuals of the bundle block adjustment and quality of the generated dense point cloud, compared with a reference terrestrial laser scanner acquisition. Finally, the possibility of publishing the obtained 3D models on the web has been exploited too.
      PubDate: 2018-05-21
      DOI: 10.1007/s12518-018-0224-4
       
  • 3D modelling of archaeological small finds by the structure sensor range
           camera: comparison of different scanning applications
    • Authors: Roberta Ravanelli; Lorenzo Lastilla; Andrea Nascetti; Martina Di Rita; Lorenzo Nigro; Daria Montanari; Federica Spagnoli; Mattia Crespi
      Abstract: Today, range cameras represent a cheap, intuitive and effective technology for collecting the 3D geometry of objects and environments automatically and practically in real time. Such features can make these sensors a valuable tool for documenting archaeological small finds, especially when not expert users are involved. Therefore, in this work, Scanner and itSeez3D, two of the most promising scanning applications actually available for the Structure Sensor, a range camera specifically designed for mobile devices, were tested in order to evaluate their accuracy in modelling the 3D geometry of two archaeological artefacts, characterized by different shape and dimensions. The 3D models obtained through the two scanning applications were thus compared with the reference ones generated with the more accurate photogrammetric technique. The results demonstrate that both the applications show the same level of geometric accuracy, which amounts generally to very few millimetres, from an overall point of view, and, at the same time, they substantially point out the good quality of the Structure Sensor 3D reconstruction technology. In particular, the itSeez3D application is surely the best solution for the color restitution, even if it requires a payment of $7 to export and thus to use effectively each model generated. On the other side, Scanner is a free application and its geometric accuracy is comparable to that of itSeez3D, but, however, the colours are frequently smoothed and sometimes not fully rendered.
      PubDate: 2018-05-18
      DOI: 10.1007/s12518-018-0215-5
       
  • Mobile mapping systems in civil engineering projects (case studies)
    • Authors: Omar Al-Bayari
      Abstract: There has been increased interest in mobile mapping system (MMS) usage, especially in the surveying and implementation of projects, for engineering and planning applications. Moreover, it is needed to enable state-of-the-art technologies implementation and usage in both modern and old (i.e., already existing) projects, especially when they are executed at sites with difficult nature and those located in crowded cities. The design of engineering projects consists of three phases: conceptual, preliminary, and detailed design phases. Surveying and site design is one of the most important parts in all these phases, in both the planning and implementation of infrastructure engineering and its layout. Examples are numerous and sometimes they are the fine line in the design and decision of the implementation of some projects, such as in roads rehabilitation, drainage networks, and railway and metro installation. The critical issue in such projects is the required accuracy, which should be achieved and guaranteed. Then, more applications and new practical and easily applied methodologies are needed. To achieve the accuracy required, we propose an effective methodology using an MMS and some software to check and guarantee that the target is met. We present an application of the methodology and a discussion of the problems faced while employing the MMS methodology. Two important projects are highlighted as case studies of our methodology application in employing an MMS in the surveying design phase of important scale infrastructures in the Kingdom of Saudi Arabia (KSA). The first is the surveying for the design of 180 km of drainage system in Jeddah and the second is the surveying of 1500 km of an existing railway network. The two surveying projects are the first applications using an MMS in the KSA where the accuracy was a necessity for the purpose of state-of-the-art management and monitoring of new and old installed systems. In this work, we discuss the new technology application and the problems faced. In addition, we address the different applications covered by an MMS.
      PubDate: 2018-05-17
      DOI: 10.1007/s12518-018-0222-6
       
  • Drainage morphometric analysis using open access earth observation
           datasets in a drought-affected part of Bundelkhand, India
    • Authors: Nirmal Kumar; Sudhir Kumar Singh; H. K. Pandey
      Abstract: In this study, a part of Yamuna and Ken basin was selected for quantitative estimation of morphometric parameters through open access earth observation datasets. Further, spectral indices, namely Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), Normalized Difference Water Index (NDWI), and Soil Brightness Index (SBI), have been calculated to know the relationship with the morphometric parameters. The area has sub-dendritic to dendritic drainage pattern and designated as fifth order stream and drainage density (0.564 km/km2). The stream order is mainly controlled by physiographic and lithological conditions of the area. Spectral indices have been employed to understand the vegetation, wetness, and soil moisture and soil characteristics in the area. The water retention curves of the area have been developed. The spectral indices and morphometric parameters (Dd) shows highly positive correlation. The result has been validated with the aid of borehole/lithology datasets. These quantitative estimates will help in achieving and developing long-term strategies for combating hydrological drought, meteorological drought, climate-related drought, agricultural drought, water mismanagement-related drought, and affected region for preparation of suitable groundwater management plans.
      PubDate: 2018-05-08
      DOI: 10.1007/s12518-018-0218-2
       
  • Data parametric representation for monitoring of cultural heritage
    • Authors: C. Battini; R. Vecchiattini
      Abstract: The present paper analyses the Abbey of S. Matteo in Genoa exemplifying a possible use of survey and its elaborations in the field of conservation. The three-dimensional survey was used as the basis for the collection, management and representation of the data derived from the survey on rising damp. The purpose was to test a dynamic data processing system that could be used as a tool to collect data on site as well as to access data remotely. By using software for three-dimensional representation and a node programming language, it was possible to define a system that offered dynamic viewing and was easy to use, through the use of chromatic scales and level curves, which can be generated starting from tables containing numerical data. Surveying, diagnostics, modelling and representation allow one to experiment with new ways of interaction within the common goal of conservation.
      PubDate: 2018-05-05
      DOI: 10.1007/s12518-018-0219-1
       
  • An integrated approach for threat assessment and damage identification on
           built heritage in climate-sensitive territories: the Albenga case study
           (San Clemente church)
    • Authors: Mattia Previtali; Chiara Stanga; Thomas Molnar; Lore Van Meerbeek; Luigi Barazzetti
      Abstract: Climate change represents an increasing threat to cultural heritage all around the world. In particular, the consequences of extreme weather events like tornados, heavy rain, and flooding can significantly damage built heritage and archeological sites. To face such issues, an integrated approach for threat assessment and damage identification is of primary importance for managing sites threatened by extreme weather events and climate change. This paper presents a holistic approach for risk assessment and management, specifically focusing on flooding, addressing San Clemente church in Albenga (Northern Italy). Located in the Centa riverbed, and dating back to the fifth century, San Clemente church has a complex historical stratification that reflects the changes that occurred in the area. The integrated approach included the analysis of historical, geometrical-dimensional, and meteorological data to identify the main threats associated with the site through a modified version of the ABC method. In fact, together with the standard categories, we added the category “Sensitivity to change” in order to understand the possibility for the archeological site to change without adverse impacts on its heritage significance. Starting with identified risks, it was possible to define a proper survey strategy to evaluate damages caused by flooding. Through the comparison of pre- and post-flooding condition of the church, it was possible to analyze the damages to the archeological site.
      PubDate: 2018-05-04
      DOI: 10.1007/s12518-018-0217-3
       
  • A geographycal information system to support restoration activities: a
           methodological approach experienced upon the case study of Ascoli Satriano
           Fortress
    • Authors: Eva Savina Malinverni; Roberto Pierdicca; Andrea Giuliano; Fabio Mariano
      Abstract: This paper deals with the development of a geographic information system (GIS), specifically designed for the restoration process of Ascoli Satriano Fortress (an important example of military architecture in the south of Italy), using as entry data its 3D modelling obtained with a standard multi-view stereo (MVS) pipeline. The work described has been developed following a methodological approach, highlighting best practices for the management of different information and the creation of specific thematic maps, demonstrating how a close cooperation between restorers and geomatics experts can be the turnkey for the conservation process of the architectural heritage. In this research, the GIS implementation proposed for the cataloguing and the management of historical buildings serves to define the abacus of the materials and the decay analysis performed by restorers The aim is to create a link between the survey’s output and both quantitative/descriptive information, useful for managing the restoration process in all the steps of the work. The management of an historical building into an integrated system enables all the actors involved in the process to be as much faithful as possible with the real building features.
      PubDate: 2018-05-01
      DOI: 10.1007/s12518-018-0216-4
       
  • 3D survey and 3D modelling for seismic vulnerability assessment of
           historical masonry buildings
    • Authors: C. Balletti; M. Ballarin; P. Faccio; F. Guerra; A. Saetta; P. Vernier
      Abstract: The new geomatics techniques have the aim of responding to the needs of damage documentation, risk assessment and providing support for managing and sharing data in emergency and danger conditions. The paper describes the experience of a group of researchers in geomatics and construction techniques at the Iuav University of Venice following the Emilia earthquake, when on 20th and 29th of May 2012, two powerful earthquakes struck northern Italy. The epicentres were recorded respectively in Finale Emilia (magnitude 5.9 Ml) and Medolla (magnitude 5.8 Ml) in the province of Modena, though the earthquake was formed by a series of seismic shakes located in the district of the Emilian Po Valley, mainly in the provinces of Modena, Ferrara, Mantova, Reggio Emilia, Bologna and Rovigo. An immediate documentation was necessary to shoring up and protect the damaged structures before any restoration and reconstruction intervention. Many monuments in the city of Mantova were hit by the earthquake and, among these, Palazzo Ducale with the well-known Castello di San Giorgio which host the noteworthy “Camera degli Sposi”. This building, the most famous of the city, was so damaged that it was closed for more than 1 year after the earthquake. Immediately after the earthquake, the Soprintendenza per i Beni Architettonici e Paesaggistici of Brescia, Cremona and Mantova establish an agreement with the University Iuav of Venice, requiring an analysis and assessment of the damage in order to proceed with the development of an intervention project. This activity turned out to be very important not only from the point of view of the recovery of the architectural and artistic heritage but also because the city’s economy is based primarily on tourism. The closure of one of the most important monuments of Mantova has led to a significant and alarming decline in the government income.
      PubDate: 2018-04-21
      DOI: 10.1007/s12518-018-0214-6
       
  • Estimation of water quality parameters using Landsat 8 images: application
           to Playa Colorada Bay, Sinaloa, Mexico
    • Authors: Luis Carlos González-Márquez; Franklin M. Torres-Bejarano; Clemente Rodríguez-Cuevas; Ana Carolina Torregroza-Espinosa; Jorge Antonio Sandoval-Romero
      Abstract: In this study, empirical models were generated to estimate water quality parameters, with the objective of showing the benefits of the satellite remote sensing application in the characterization of coastal waters. The study area was Playa Colorada Bay, located in the northwest of Mexico, in the eastern part of the Gulf of California. In two seasons of the year, on-site and laboratory characterizations were carried out to determine the spatial and temporal variation of phosphates (PO4), electrical conductivity (EC), total suspended solids (TSS), turbidity, and pH of water. Samplings were selected to match Landsat 8 satellite overpass in the study area. Radiometric and atmospheric corrections were applied to the images, prior to the generation of the models. The models were generated using the linear regression technique of successive steps; water quality parameters and their logarithms were used as dependent variables, and as independent variables were used corrected reflectance values of Landsat images. The results showed that the concentration of PO4 in the analyzed water samples were higher than those recommended in the Mexican ecological criteria of water quality, to protect the aquatic life of marine water in coastal areas. In autumn, PO4 was correlated with turbidity, T, pH, and TSS. The highest correlation coefficients were presented by TSS with PO4 (r = − 0.979) and pH (r = 0.958). The water quality models that were generated had coefficients of determination (R2) in the range of 0.637 to 0.955 and show the viability of the application of Landsat 8 images in the characterization of water quality parameters in Playa Colorada Bay. Models allowed the estimation of the distribution of water quality parameters over the whole bay instead of only at the sampling stations, favoring a better understanding of their spatial distribution.
      PubDate: 2018-03-26
      DOI: 10.1007/s12518-018-0211-9
       
  • GeoWebEX: an open-source online system for synchronous collaboration on
           geographic information
    • Authors: Muhammad A. Butt; Syed Amer Mahmood; Syed Muhammad Hassan Raza
      Abstract: GeoWebEX is an online system for supporting group collaborations on geographical information such as maps and imageries, and capture and sharing of local/domain knowledge in real time. The system is developed using open-source technologies. GeoWebEX allows integration of geospatial data from different sources in the form of Web services, and collaborators’ input in the form of georeferenced annotations. It includes such integrated components as mapsharing, audio/video conferencing, real-time chat, georeferenced textual and graphical annotation, and user/session management. GeoWebEX has a lot of applications, including emergency response and preparedness, environmental and resources, public security, and state and local governments. This paper presents the design and development of GeoWebEX, and concludes by discussing some important issues encountered in developing such a system.
      PubDate: 2018-03-17
      DOI: 10.1007/s12518-018-0204-8
       
  • Construction control and documentation of facade elements using
           terrestrial laser scanning
    • Authors: Ján Erdélyi; Alojz Kopáčik; Peter Kyrinovič
      Abstract: The current trend of the construction of high-rise buildings is based on construction of a reinforced concrete frame and on subsequent mounting of a light curtain wall. Parts of facades of buildings are also additional elements like balcony railings. The correct functionality, safety and also the aesthetic look of the facades depend on accurate fitting of these elements to the concrete frame. The facade elements are mounted (fixed) using anchor blocks, which are built in the concrete frame. The paper presents the procedure of as-built documentation of anchor blocks of the building complex Panorama City in Bratislava (Slovakia). The complex consists of two high-rise buildings with height of 110 m and a connecting part with height of 15 m. The as-built documentation was created for the facades of the high-rise buildings, on which more than 2500 anchor blocks are situated. Each anchor block consists of four threaded rods of type M20. The position of the anchors can be described by 4 points, defined by intersection of the rod’s main axis and a plane representing the part of the concrete frame. For determination of the position of anchor blocks, the threaded rods and the planes were modelled from TLS point clouds. The measurement procedure, data processing and results are described. Part of the paper is devoted to accuracy analysis and the analysis of limitations of TLS usage, also.
      PubDate: 2018-03-09
      DOI: 10.1007/s12518-018-0208-4
       
  • Designing a spatial cloud computing system for disaster (earthquake)
           management, a case study for Tehran
    • Authors: Javad Sadidi; Eshagh Fakourirad; Parviz Zeaieanfirouzabadi
      Abstract: IT experts believe that cloud computing is turning into the fifth vital human needs preceded by water, electricity, gas, and telecommunications. In line with this trend, one of its major applications is in the swiftness enhancing of disaster management entities. This research, by using the huge capacities of cloud computing, aims to design a system to promote the performance of relief operations in disaster hit areas. The architecture of the designed system consists of two parts: hardware and software. In the hardware side, using NIST standards, the assessment function designed by Iran’s Passive Defense Organization, also applying Tehran’s telecom infrastructures plans and selecting 20 main centers in Tehran, a high bandwidth and widespread network of fiber optic infrastructure as the physical backbone of our cloud-based system has been exploited which covers all areas of the city. In the software part, an application has been developed using the ASP.net capabilities in the Microsoft Visual Studio to collect and integrate the data gathered by early dispatched relief groups. Based on the special prioritization algorithm designed by Iran’s passive defense organization, the application is capable of providing information by analyzing various spatial data. By processing and unifying the input data into the DBMS, the designed service offers a wide range of capabilities including real-time spatial tables, graph and curve generation, and different special-temporal queries in prioritizing the quake hit areas, recognizing and targeting the most severely hit ones. The mentioned capabilities enable city managers and decision makers to enhance the accuracy, swiftness, and effectiveness of relief operations.
      PubDate: 2018-03-03
      DOI: 10.1007/s12518-018-0203-9
       
  • GIS-based detection of terraced landscape heritage: comparative tests
           using regional DEMs and UAV data
    • Authors: Antonia Spanò; Giulia Sammartano; Francesca Calcagno Tunin; Sylvie Cerise; Giulia Possi
      Abstract: The analysis of terraced heritage has implications in many different fields of study, as it is shaped itself by natural, socioeconomic, and cultural dynamics. Given that their abandonment impoverishes territories and communities and raises natural, especially hydrogeological hazards, and that their deactivation leads to a loss of cultural identity, this paper aims to study rapid mapping systems for their detection. Since a deep relation between high land division and the use of terraces for the exploitation of territories has been recognized, a first detection method is based on cadastral maps. The joint use of regional-scale digital elevation models (DEMs) and cadastral dataset polygons, based on a model that typically uses GIS analyses, identifies areas with a high probability of terracing. A second method is based on the use of new technologies for very high-scale data collection. The DEM models derived from UAV (unmanned aerial vehicle) photogrammetry, given their ability to determine the micro-topographical characterization of the terrain as well as the most expensive on-site techniques, can be considered an excellent low-cost means by which to locate terraced heritage. The proposed work includes comparative testing between methods implying GIS-based analysis of slope models. It aims to highlight the effectiveness of using both methods: regional-scale DEMs and cadastral maps to detect a high probability of terrace localization, and DEMs derived from the use of low-altitude aerial data and structure from motion (SfM) algorithms, which have greatly and effectively increased the use of aerial drone photogrammetry.
      PubDate: 2018-03-02
      DOI: 10.1007/s12518-018-0205-7
       
 
 
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