Search results for "Logical map"

showing 6 items of 26 documents

Field mapping in Western Sicily in the frame of the CARG Project

2009

geological maps stratigraphy structural geology
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UAV SURVEY FOR THE ARCHAEOLOGICAL MAP OF LILYBAEUM (MARSALA, ITALY)

2019

Abstract. Collecting information and mapping are fundamental aspects of systematic archaeological excavation, documentation and interpretation. The process of recording physical evidence is the first step in the archaeological study with the goal to derive spatial and semantic information from the gathered and available data. Archaeological reports always include 2D maps, sections, data distribution and other spatial data. Indeed, the representation is inseparable from the archaeological practice, but this is undoubtedly a time-consuming activity. Nowadays, archaeologists can take advantages of various recording techniques to produce highly accurate 3D models and ortho-images of archaeologi…

lcsh:Applied optics. Photonicslcsh:TComputer scienceProcess (engineering)business.industryUAVGeomaticslcsh:TA1501-18203d modelExcavationlcsh:TechnologyArchaeologyField (geography)PhotogrammetryDocumentationArchaeologylcsh:TA1-2040Photogrammetry3D DocumentationArchaeological maplcsh:Engineering (General). Civil engineering (General)businessSpatial analysisSettore ICAR/06 - Topografia E CartografiaThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Geomorphology and surface geology of Mount St. Helens volcano

2020

Mount St. Helens is a stratovolcano of the Cascadia volcanic arc well known worldwide for its volcanic collapse and eruption in 1980, which caused considerable destruction and changed the geomorphology of the volcano and of a considerable portion of its surroundings. This paper presents a geomorphology and surface-geology map of both the wider Mount St. Helens, Washington (USA), at the 1:50,000 scale, and of its crater, at the 1:25,000 scale. The map is obtained from the interpretation of two high-resolution, air-borne acquired, digital terrain models, LiDAR dataset, combined with Google Earth imaging, geological information and field surveys. The geomorphology of the area is largely domina…

lcsh:MapsSurficial geologygeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesVolcanic arcGeomorphological mappingGeography Planning and DevelopmentGeochemistrygeomorphology010502 geochemistry & geophysics01 natural sciencesMountVolcanolcsh:G3180-9980mount st. helensEarth and Planetary Sciences (miscellaneous)Stratovolcanovolcanic geomorphologysurficial geologyGeologyAeolian archipelagogeomorphological mapping0105 earth and related environmental sciences
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Geomorphology of the urban area of Palermo (Italy)

2020

The results of a geomorphological study carried out in the urban area of Palermo are summarized in a thematic map. Field survey, analysis of aerial photographs and topographic maps, consultation of historical documents and maps, stratigraphic and topographic reconstruction from numerous wells and subsoil data, and bibliographic search were performed, in order to display the geomorphological changes produced by man over time in a densely populated area and to define the Anthropocene of the study area. Palermo town rises along large marine terrace surfaces cut by small river valleys and bordered by wide degraded and abandoned coastal cliffs. Over the last 2700 years, this area was affected by…

lcsh:Mapsanthropocenegeography.geographical_feature_category010504 meteorology & atmospheric sciencesGeomorphological mappingSettore GEO/04 - Geografia Fisica E GeomorfologiaGeography Planning and Developmentenvironmental risk010502 geochemistry & geophysicsField surveyUrban area01 natural sciencesGeographyThematic mappalermoEnvironmental riskAnthropocenelcsh:G3180-9980Earth and Planetary Sciences (miscellaneous)Anthropocene environmental risk Geomorphological mapping man-made landform Palermoman-made landformCartography0105 earth and related environmental sciencesgeomorphological mapping
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Towards a new marine structural model of Italy

2013

The exploitation of economic resources in marine environment and the assessment of natural hazards press a greater knowledge of the sea floor geology. Since the Structural Model of Italy was published in the 1991 by the CNR, new data have been collected concerning the marine geology of the sea floor surrounding Italy, also by means of up to date technologies (digital seismics, SBP Chirp, Multibeam). Data collected during the last decades in the frame of research programs as CROP MARE, CARG, morpho-bathymetric survey of the Tyrrhenian Sea, MAGIC, allow investigating the submerged geological structures with different temporal and spatial resolution. As consequence, at present marine geologist…

marine geology geological mapping Italy
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Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…

2019

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…

non-parametric classificationComputer science020209 energyHealth Toxicology and Mutagenesislcsh:Medicine02 engineering and technology010501 environmental sciencesengineering.material01 natural sciencesArticleDigital imageSoftwareArtificial Intelligence0202 electrical engineering electronic engineering information engineeringLearningTopological map0105 earth and related environmental sciencesLVQ algorithmLearning vector quantizationArtificial neural networkSOFM neural networkCompostbusiness.industryCompostinglcsh:RPublic Health Environmental and Occupational Health<i>LVQ</i> algorithmengineeringNeural Networks ComputerbusinessClassifier (UML)AlgorithmAlgorithmsSoftwareInternational Journal of Environmental Research and Public Health
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