69 research outputs found
LIFE+ A_GreeNet Web Gis Data_Green Suite
No full textDescription:
This dataset contains a collection of georeferenced spatial data layers, produced as part of the LIFE+ A_GreeNet (Adriatic Climate Urban Network) project. These layers represent a wide range of environmental, climatic, socio-demographic, and urban planning characteristics across the study areas. The data collection, analysis, and modeling workflow of this project are detailed below, along with the produced files:
1. Foundation Data:
Limiti di progetto.gpkg: This initial layer delineates the boundaries of the project's study areas, within the administrative boundaries of each partner municipality.
2. Data Collection and Processing:
Mappe e database delle aree verdi e della loro qualità/stato di conservazione: Data layer containing the mapping of green areas and their quality and conservation status.
Suolo_SAVI.gpkg: Represents the Soil Adjusted Vegetation Index at a specific date, used in the study to assess the state of vegetation vigor within urbanized areas.
Stress termico_ST-LST.gpkg: Includes the Surface Temperature (ST) and Land Surface Temperature (LST) layers used to assess heat island effects and thermal stress.
Vulnerabilità socio-anagrafica.gpkg: Contains socio-demographic data (e.g., population density, age distributions, family structures, and fragility indicators) aggregated to the limits of ISTAT census sections.
3. Environmental and Climate Analysis and Planning:
Carta del Rischio.gpkg: The result of the cognitive framework is a qualitative-quantitative risk map developed through i) spatial
correlation of the processed data and ii) querying the GeoDB.
The following are the variables produced, which are combined with other indicators and spatial data of interest.
Together, make up the GeoDB dataset:
− socio-demographic fragility;
− soil quality: morphological-spatial vulnerability (SAVI Index);
− multi-temporal thermal stress (ST Index, LST Index);
− hydrogeological Management Plan (PAI), i.e. risk areas;
− educational institutions and health centers.
Griglie 10x10m.gpkg: A 10x10 meter spatial resolution grid system that serves as a homogeneous framework for data integration.
DC.2.1.0_Previsioni del PRG, stato di attuazione (sintesi).gpkg: A synthesis layer reflecting current land use according to the Municipal Regulatory Plan ("Piano Regolatore Generale") and the existing state of their implementation.
DC.2.1.X_Visione strategica dell'infrastruttura verde.gpkg: Contains the strategic vision for green infrastructure planning towards 2030 and 2050.
DC2.1.1_Scenari progettuali alla grande scala al 2030.gpkg and DC2.1.2_Scenari progettuali alla grande scala al 2050.gpkg: Contains specific and general projected interventions and scenarios at 2030 and 2050.
DA3.1.4_Progettazioni in corso e programmate.gpkg: Contains data on current or programmed projects.
Aree verdi proprietà.gpkg:
Aree verdi Previsioni Urbanistiche.gpkg:
Aree verdi esistenti 2.gpkg:
4. WebGIS Integration:
The different information layers of the project are loaded into a WebGIS platform where all these datasets are overlaid and analyzed. All raster or vector data are converted to raster images for visualization.
This dataset aims to analyze spatial correlations between different aspects of climate-related vulnerabilities in urban areas and serves as a reference for the A_GreeNet project.
Study Areas:
This dataset includes data related to the municipalities of:
Ancona - San Benedetto del Tronto - Martinsicuro - Alba Adriatica - Tortoreto - Giulianova - Roseto degli Abruzzi - Pineto - Silvi - Pescara
These locations form the core of the Adriatic Climate Urban Network within the LIFE+ A_GreeNet project.
Data Format:
All data layers are provided as GeoPackage (.gpkg) files, a widely supported open geospatial data format suitable for the storage and exchange of vector and raster data. This format is compatible with open-source GIS software such as QGIS.
To open a QGIS project saved within a GeoPackage:
Start QGIS: Open QGIS (or return to the start screen with no projects).
Open from GeoPackage: Go to "Project" > "Open from GeoPackage".
Select the GeoPackage: In the dialog box, locate and select the .gpkg file that contains your project.
Select the project file: Choose the .qgs file within the GeoPackage (e.g., project.qgs).
Open: Click "Open". Your project, including all the layers, will open from the single .gpkg file.
Supporting Resources:
A detailed explanation of the project and data collection methodologies is available in the project's deliverables.
Official website of the Life+ A_GreeNet project: https://www.lifeagreenet.eu/site/
The data layers were designed for use on the WebGIS platform created for the project: https://life.gishosting.eu/index.php/view/map?repository=life&project=demo_project_REV
Analysis of territorial fragilities through GIScience
No full textThe paper presents the results of an applied research on the Adriatic linear city (Marche, Abruzzo) for the construction of an urban-territorial cognitive framework renewed by GIScience methods/techniques (data processing, remote sensing and scientific indexes). In particular, the contribution presents the method steps for the production of a Risk Map and a geodatabase developed in a GIS (Geographic Information Systems) environment starting from open data to support the analytical phase of the A_GreeNet Life+ project and its aims. In this sense, the intermediate/final outputs of the research lay the foundations for new ways and different perspectives to investigate the urban landscape with a focus on the quality/quantity of green infrastructure, thermal stress and social dynamics. In conclusion, the paper is part of the process of renewing the cognitive processes of urban planning, with special regard to the study of territorial fragilities and urban transformations capable of photographing different territorial geographies and evaluating their resilience to the dynamics of climate change. On this basis, the project will imagine new forestation scenarios and the qualification of the landscape-vegetation system and open spaces for healthier and more liveable cities, in accordance with the planning framework in place
LIFE+ A_GreeNet - data & report iTree Eco
No full textLIFE+ A_GreeNet - data & report iTree Eco
Creators
Cecchi, Jonatha (Researcher)1
Malavolta, Simone (Researcher)1
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D'Onofrio, Rosalba (Supervisor)1
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MARCHESANI, Graziano Enzo (Researcher)
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Catorci, Andrea (Supervisor)
Giorgini, Irene (Researcher)
Description
Simulation Using the i-Tree Eco Model in Pre- and Post-Intervention Scenarios
Description:
i-Tree is a software suite that has been reviewed and approved by the USDA Forest Service. i-Tree provides assessment and analysis tools to quantify urban forest benefits. The various tools within this software help communities strengthen the management and advocacy of urban forests by quantifying the environmental and ecosystem services that trees and the urban forest structure provide. i-Tree Eco, in particular, is a tool designed to use standardized field data and local hourly air pollution and meteorological data to quantify urban forest structure and its numerous effects (Nowak and Crane 2000). The data provided by the software, which requires a very detailed identification of the trees present in the study area, include:
Urban forest structure (e.g., species composition, tree health, leaf area, etc.)
Amount of pollution removed hourly by the urban forest and the related percentage improvement in air quality over the course of the year.
Total carbon stored and net carbon sequestered annually by the urban forest.
Effects of trees on building energy use and the consequent effects on carbon dioxide emissions from energy sources.
Replacement value of the forest, as well as the value of air pollution removal and carbon storage and sequestration.
Potential impact of pest infestations.
The i-Tree Eco software is accessible at https://www.itreetools.org/tools/i-tree-eco
If the tree species present in the study area are not included in the software's species database, equivalent species with similar characteristics are used as a reference.
Data Collection and Processing:
File di progetto iTree - Eco.zip: Contains the raw data and project setup files for an i-Tree Eco assessment. Use these to open and continue working on your i-Tree Eco project.
Report iTree Eco - Ante Operam.zip: This is a report generated by i-Tree Eco showing tree inventory and ecosystem service data before any construction or development took place (the "Ante Operam" stage).
Report iTree Eco - Post Operam.zip: This is a report generated by i-Tree Eco showing tree inventory and ecosystem service data after construction or development took place (the "Post Operam" stage). It's likely to be compared to the pre-construction report to assess impacts.
Study Areas:
This dataset includes data related to the municipalities of:
Ancona - San Benedetto del Tronto - Martinsicuro - Alba Adriatica - Tortoreto - Giulianova - Roseto degli Abruzzi - Pineto - Silvi - Pescara
These locations form the core of the Adriatic Climate Urban Network within the LIFE+ A_GreeNet project.
Supporting Resources:
A detailed explanation of the project and data collection methodologies is available in the project's deliverables.
Official website of the Life+ A_GreeNet project: https://www.lifeagreenet.eu/site
A_GreeNET Explorer
No full textThe LIFE+ A_GreeNet Explorer Platform is a digital tool developed within the framework of the LIFE+ A_GreeNet project to support urban climate adaptation and green infrastructure planning. The platform serves as an advanced WebGIS system designed to collect, analyze, manage, and disseminate data related to urban green areas and climate resilience measures. Its main features include user-friendly data visualization, constant updates, and the ability to generate interactive maps and databases on the quality and conservation status of green urban spaces. The platform aims to assist decision-makers, local stakeholders, and the general public in planning and implementing effective strategies for micro-forestation, soil regeneration, and urban greening by providing centralized access to environmental and planning-related data. This innovative tool highlights the importance of data-driven approaches in addressing the rising temperatures and heatwaves that affect coastal cities in the Middle Adriatic, aligning with European and national climate adaptation policies
spotMapper
No full textSpotMapper: developed within the VITALITY project (Spoke 6, WP1) is a Web-Based Tool for Geospatial Analysis of Local Services Distribution
This presents SpotMapper, a novel web-based Geographic Information System (GIS) tool designed to analyze and visualize the spatial distribution of local services in urban environments. The tool integrates Google Places API with OpenStreetMap to provide real-time spatial data analysis capabilities. SpotMapper enables researchers and urban planners to conduct comprehensive geographical surveys by implementing an interactive area-selection mechanism and supporting over 30 service categories.
The application employs a client-side architecture built on JavaScript, utilizing Leaflet.js for spatial operations and visualization. It addresses the growing need for accessible geospatial analysis tools in urban studies, particularly for examining service distribution patterns and accessibility. The tool's distinctive feature lies in its ability to perform rapid spatial queries within user-defined polygonal areas, while offering data export capabilities for further statistical analysis.
Initial testing demonstrates the tool's effectiveness in mapping service clusters and identifying spatial patterns in urban environments. SpotMapper represents a significant contribution to the field of urban geography and planning, offering a user-friendly interface for both academic research and practical urban analysis applications.
Keywords: GIS, spatial analysis, urban planning, web mapping, service distribution, Google Places API, OpenStreetMa
streetVision
No full textstreetVision, developed within the VITALITY project (Spoke 6, WP1), is a web-based geospatial tool designed to automate the collection and analysis of street-level imagery. This software addresses the challenge of systematic urban visual data collection by implementing an interactive mapping interface that enables users to define study areas and automatically generate equidistant sampling points along road networks. The tool integrates with Google Street View API to capture high-resolution images at each generated point, offering configurable parameters including multiple viewing angles, adjustable field of view (30° to 180°), and variable pitch angles (-90° to 90°). streetVision facilitates urban analysis through its automated data collection capabilities, allowing for the export of both spatial data (GeoJSON format) and imagery (individual images or batch downloads in ZIP format). The application's architecture employs modern web technologies, including Leaflet for mapping functionality and Turf.js for geospatial calculations, ensuring efficient processing and user interaction. This tool represents a significant advancement in streamlining the collection of street-level visual data for urban research and analysis.
Keywords: urban analysis, street-level imagery, automated data collection, geospatial tool, Google Street View
Learning from Experience to Build Urban Green Infrastructure (UGI) in the Central Adriatic City (Italy) under the Life+A_GreeNet Project
Get PDFIn Europe, the implementation of urban green infrastructure (UGI) in spatial planning remains slow, although the economic/financial limits of the past have been overcome due to the recent investment priorities established by the Structural Funds and Next Generation EU. The difficulties of integrating UGI in spatial planning regard the limits of researchers’ theoretical approach and the unpreparedness of territories, administrations, and technicians. The Life+ A_GreeNet project aims to overcome these critical points. Several European and national experiences in implementing UGIs are investigated to assess their transferability into techniques and local and large-scale spatial planning tools in the Central Adriatic of Italy through a phase of interaction, learning and listening among local administrations (decision makers and technicians). The objectives shared
among various local players are thereby identified. These involve regenerating settlement and environmental systems and beginning to interact on problems and possible solutions that, overcoming administrative limits, regard an entire territory. A framework of commitments for local and large-scale planning therefore emerges, with conditions for the transferability of some techniques and Climate change practical/operational procedures
Workshop Locale Progetto Erasmus+CliCCHE (Climate Change, Cities,Communities and Equity in Health
No full textL’iniziativa del Progetto Erasmu+CliCCHE nasce con l’obiettivo di sviluppare e testare nuove metodologie d’insegnamento volte a diffondere e rafforzare la conoscenza di strategie di adattamento ai cambiamenti climatici e di mitigazione degli impatti sulla salute umana all’interno dei progetti di rigenerazione urbana. Alla sua realizzazione hanno collaborato quattro enti accademici, l’Università degli Studi di Camerino, il Consiglio nazionale delle Ricerche sede di Palermo, il Cyprus Instituto di Lefkosia (Cipro), l’Instituto Universitario de Lisboa (Portogallo) e l’Università di Belgrado (Serbia) e quattro città, San Benedetto del Tronto, Nicosia (Cipro), Lisbona (Portogallo) e Valjevo (Serbia). I cittadini hanno rivestito un ruolo attivo nella realizzazione dei progetti di rigenerazione del quartiere Sant’Antonio a San Benedetto del Tronto. L'iniziativa ha visto i residenti affiancati dai professionisti locali, dagli Amministratori e dagli studenti della Facoltà di Architettura di Ascoli Piceno in una serie di workshop che si sono tenuti sul territorio nei mesi di marzo, aprile e maggio 2023 e che hanno avuto l’obiettivo di progettare la rigenerazione urbana del quartiere in chiave verde degli spazi urbani
Psycho-cognitive assessment and quality of life in older adults with chronic obstructive pulmonary disease-carrying the rs4713916 gene polymorphism (G/A) of gene FKBP5 and response to pulmonary rehabilitation: a proof of concept study
No full textPurpose: Chronic obstructive pulmonary disease (COPD) is characterized by pulmonary and extra-pulmonary multi-morbidity including depression, anxiety and cognitive disorders. Several studies investigated the association of the FKBP5 gene polymorphisms with susceptibility to anxiety, depression, and behavioral disorders. The FKBP5 gene codifies the FKBP51 protein which modulates the glucocorticoid receptor in the adaptive stress response. Genetic variants of the FKBP5 gene have been associated to a higher risk of developing mental disorders. We analyzed the association of genetic variants and stress exposure investigating the susceptibility to psychological distress and the impact on cognitive balance and quality of life (QoL) of COPD patients carrying the rs4713916 polymorphism (G/A) and we examined its association, with COPD rehabilitative outcomes. Materials and methods: A pilot study evaluated cognitive, psychological, clinical alterations/disorders, QoL, and coping strategies in 70 older adults with COPD, undergoing pulmonary rehabilitation, stratified according to the FKBP5 rs4713916 genotype (GG or GA). Results: Carriers of rs4713916 polymorphisms (G/A) show better cognitive performances, a higher degree of independence in the daily living activities, better QoL, no presence of depressive mood and anxiety symptoms, no family history of psychiatric disorders, more ability to cope with stressors by avoiding emotions but demanding emotional support, and lesser use of anti-anxiety, anti-depressant, anti-psychotic, hypnotic-sedative drugs. No difference was found in the number of comorbidities. Conclusion: These results offer valuable insights into the role of FKBP5 in the complex network of mechanisms associated to clinical, psychological and behavioral features of COPD patients
Life+ AGREENet Projects and Results
No full textThis Zenodo repository contains data and visualizations related to the LIFE A_GreeNet project (LIFE20 CCA/IT/001752). The LIFE A_GreeNet project, co-funded by the European Union's LIFE Programme, aims to enhance the resilience of Middle Adriatic coastal cities to climate change. Finisci con metodologia This is achieved through the implementation of urban green infrastructures, soil recovery, the planting of forests and green areas, and the adoption of Nature-Based Solutions (NBS) such as vertical greening and green roofs.The project also promotes the implementation of Sustainable Energy and Climate Action Plans (SECAPs).
The project partnership includes the Abruzzo Region (coordinator), the University of Camerino, ResAgraria, Legambiente, and the municipalities of Ancona, Pescara, San Benedetto del Tronto, and Silvi, along with other coastal municipalities in the province of Teramo.
Repository Contents:
This repository includes the following files, providing a visual and detailed overview of the project:
Projects views.zip: This archive contains images and plans illustrating the project areas and planned interventions at the urban scale. These visualizations provide a spatial representation of the project's climate adaptation strategy.
Books.zip: This archive contains documents and reports detailing the project, the A_GreeNet methodology, the strategic vision, climate adaptation objectives, and the selection of NBS. It also includes information on the climate data used for detailed design.
Envimet projects views.zip: This archive contains visualizations and data related to simulations performed with the ENVI-MET software. These simulations were used to evaluate the impact of improvement interventions (pre- and post-intervention) on aspects such as vegetation, mobility, and social interaction. The simulations provide an assessment of the performance of green areas in terms of ecosystem services (carbon storage and sequestration, runoff reduction, energy savings, oxygen production, pollutant removal). I-Tree was utilized for the evaluation of ecosystem services.
Methodology:
The project utilizes the A_GreeNet methodology, which involves the combined use of tools such as ENVI-MET (for thermo-fluid dynamic modeling) and i-Tree (for urban forest management). This methodology allows for pre- and post-intervention simulations to optimize project interventions and evaluate climate and economic benefits. The design process is structured in several phases, including site assessment, strategic vision definition, NBS selection, climate data analysis, pre-intervention scenario construction, ENVI-MET pre-intervention simulation, post-intervention scenario construction, ENVI-MET post-intervention simulation, and cost calculation
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