E-Book, Englisch, 399 Seiten
Borgogno-Mondino / Zamperlin Geomatics for Green and Digital Transition
Erscheinungsjahr 2025
ISBN: 978-3-031-91144-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
27th Italian Conference, ASITA 2024, Padua, Italy, December 9-13, 2024, Proceedings, Part II
E-Book, Englisch, 399 Seiten
Reihe: Communications in Computer and Information Science
            ISBN: 978-3-031-91144-6 
            Verlag: Springer International Publishing
            
 Format: PDF
    Kopierschutz: 1 - PDF Watermark
The two-volume set 2463-2464 constitutes the proceedings of the 27th Italian Conference on Geomatics for Green and Digital Transition, ASITA 2024, held in Padua, Italy, during December 9-13, 2024.
The 54 full papers were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows:
Part I:
Natural Hazards and Emergencies
Urban Systems: Structures, Cities, and Infrastructure
Part II:
Cultural Heritage and Landscape Management
Agriculture and Forests
Environmental Applications of Geomatics
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Cultural Heritage and Landscape Management.- Mapping the Marks of War: A Historical GIS Approach to Digitalize WWI Military Cartography of the Sette Comuni di Asiago Area (Vicenza, ITALY).- Historical GIS of High Command Maps from World War I: A Geo-Historical Enhancement Project for Archival Research.- Open Source and Participatory Mapping to Support Place-based Education.- Development of a Low-Cost SLAM System for Autonomous Mapping of Complex Environments.- Development of a Systematic Methodology for the Survey and Documentation of Graffiti at Palazzo Ducale in Venice.- Dynamic Coastal and Marine Monitoring with Geomatics and Earth Observation: the MPA of Miramare.- Interdisciplinary Approaches for Assessing The Conservation Status of Abandoned Sites Using Multispectral Images at Different Investigation Scales. The Case Study of the Former Asylum of Rovigo.- Innovation in the Monitoring and Control of Cultural Heritage: An Integrated BIM-GIS Approach.- A Spatial Decision Support System for the Integration between the UNESCO Site Management Plan and the Urban Plan: An Application the Site of Purmamarca, Argentina.- Tracking Soil Consumption Changes with Deep Learning-Based Binary Classifiers.- Agriculture and Forests.- Testing the Potentialities of Stratospheric Platforms in Agriculture: Preliminary Results for Modeling Field Irrigation Flow.- Assessment of Planetscope Imagery for the "Riserva San Massimo" Rice Farm: Evaluating Benefits and Calibration in relation to Sentinel-2 Data.- Monitoring and Mapping Drought Effects on Crops by Geospatial and Remotely Sensed data. A Critical Overview of Available Open-products.- The Integration of Satellite Analysis within Common Agricultural Policy Instruments: Application Hypotheses for the Issue of Soil Erosion in the Veneto Region.- SOM Classification for Crop Stress Analysis Using UAVs’ LiDAR and Multispectral Data.- Integrating LiDAR and Semi-empirical Model in Mapping the Interaction between Wildfire and Bark Beetle Outbreak.- Estimation of Soil Organic Carbon using Sentinel-2 Data at Regional Scale in Italy.- Environmental Applications of Geomatics.- Thematic Map Generalisation: An Automated Tool to Produce a National Habitat Map.- BASIC CORE South Tyrol – A project to Solve the Topographical Complexity of the National Spatial Data Catalogue.- Multitemporal Monitoring of the Miage Glacier (Mont Blanc) through the Use of Historical Cartography.- Geomatics Approaches for Detecting Floating Macroplastic Litter: The Res4Seal Project.- The COASTLINE Project: Integrating Advanced Geospatial Technologies for Coastal Monitoring and Management.- Integrating Geospatial Data Management and Simulation Models for Enhanced Marine Pollution Response: A Case Study of the Haven Oil Tanker Disaster.- Geomatic Monitoring of the MOSE System Deformations (Venice, Italy).- Cost-effective UAS photogrammetry in environmental monitoring: a quality assessment.- Classifying Remote Sensing Data through Advanced Dimensionality Reduction Approaches.




