Analysis of territorial fragilities through GIScience
A method tested in the Life+ A_GreeNet project to implement urban green infrastructures
DOI:
https://doi.org/10.6093/1970-9870/10200Keywords:
GIScience, Urban Green Infrastructure, urban planning, Risk Map, adriatic coastal citiesAbstract
The 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.
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References
Adelfio, M., Kain, J., Stenberg, J., et al. (2019). GISualization: Visualized integration of multiple types of data for knowledge co-production. Geografisk Tidsskrift. http://dx.doi.org/10.1080/00167223.2019.1605301
Anandababu D., Purushothaman B. M., Suresh Babu S., (2018). Estimation of Land Surface Temperature using LANDSAT 8 Data. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2), 177-186. ISSN: 2454-132X
Anees, M. M., Mann, D., Sharma, M., Banzhaf, E., & Joshi, P. K. (2020). Assessment of Urban Dynamics to Understand Spatiotemporal Differentiation at Various Scales Using Remote Sensing and Geospatial Tools. Remote Sensing, 12, 1306. https://doi.org/10.3390/rs12081306
Avdan U., Jovanovska G., (2016). Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data. Journal of Sensors, 2016, Article ID 1480307, 8 pages. https://doi.org/10.1155/2016/1480307
Beltramino, S., et al. (2022). Assessing territorial vulnerability. TeMA - Journal of Land Use, Mobility and Environment, 15(3), 355-375. http://dx.doi.org/10.6092/1970-9870/9069
Brownlee, T., Camaioni, C., Pellegrino, P. (2021). Climate Emergency and Quality of Life in Cities. Franco Angeli, Milan
Caprari, G. (2021). GIScience for Healthy Urban Regeneration: A Case Study in Rome. In F. Giofrè & S. Halilović-Terzić (Eds.), International Conference Making Healthy Cities for People – Education, Research, Practice in Planning, Architecture and Engineering: Conference Proceedings (pp. 93-106). Sarajevo, Bosnia and Herzegovina: Faculty of Architecture of University
CMCC (2020). Risk Analysis: Climate Change in Italy. Centro Euro-Mediterraneo sui Cambiamenti Climatici, ISBN 978-88-97666-15-8, DOI: 10.25424/CMCC/ANALISI_DEL_RISCHIO
Cocci Grifoni, R., Caprari, G., & Marchesani, G. E. (2022). Combinative Study of Urban Heat Island in Ascoli Piceno City with Remote Sensing and CFD Simulation—Climate Change and Urban Health Resilience—CCUHRE Project. Sustainability, 14(2), 688. https://doi.org/10.3390/su14020688
Comitato Capitale Naturale. (2018). Secondo Rapporto sullo Stato del Capitale Naturale in Italia. Rome.
Condemi, V., Gestro, M., & Solimene, U. (2015). Le onde di calore: profili epidemiologici, soggetti a rischio, problematiche e misure di sanità pubblica. In Medicina Clinica Opera Blu: XXXIX/15 (update June 2015) (pp. 1-34). Turin: C.G. Edizioni Medico Scientifiche. ISBN 9788871103402
Cook, Monica J., ‘Atmospheric Compensation for a Landsat Land Surface Temperature Product’ (2014). Thesis. Rochester Institute of Technology. Accessed from https://home.cis.rit.edu/~cnspci/references/theses/phd/cook2014.pdf
Cook, M., Schott, J.R., Mandel, J., & Raqueno, N. (2014b). Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive. Remote Sensing, 6(11), 11244-11266. http://dx.doi.org/10.3390/rs61111244
D’Ambrosio, V., Di Martino, F., & Miraglia, V. (2023). A GIS-based Framework to Assess Heatwave Vulnerability and Impact Scenarios in Urban Systems. Sci Rep, 13, 13073. https://doi.org/10.1038/s41598-023-39820-0
DEP Lazio Centro di Competenza Nazionale Dipartimento della Protezione Civile. (2017). Piano operativo nazionale per la prevenzione degli effetti del caldo sulla salute: Risultati dei Sistemi di allarme (HHWWS) e del Sistema di Sorveglianza della Mortalità Giornaliera (SiSMG) e degli accessi in pronto soccorso – Estate 2017: Sintesi dei risultati.
DEP Lazio Centro di Competenza Nazionale Dipartimento della Protezione Civile. (2022). Piano operativo nazionale per la prevenzione degli effetti delle ondate di calore: Risultati dei Sistemi di allarme (HHWWS), del Sistema Sorveglianza della Mortalità Giornaliera (SISMG) e degli accessi in Pronto Soccorso (PS): Rapporto 16 maggio-15 luglio 2022
D’Onofrio, R., Brownlee, T. D., Camaioni, C., Caprari, G., Malavolta, S., & Trusiani, E. (2023). Learning from Experience to Build Urban Green Infrastructure (UGI) in the Central Adriatic City (Italy) under the Life+A_GreeNet Project. UPLanD – Journal of Urban Planning, Landscape & Environmental Design, 7(1), 5-24. https://doi.org/10.6093/2531-9906/10027
D’Onofrio, R., Brownlee, T. D., Camaioni, C., Caprari, G., & Trusiani, E. (2022). The Life+ A_GreeNet Project for Environment and Health: Obstacles and Opportunities for Local and Large-Scale Planning in the Central Adriatic Area. In Moccia, F. D., & Sepe, M. (Eds.), XIII International Day of Studies Inu Beyond the Future: Emergencies, Risks, Challenges, Transitions, Opportunities (pp. 46-49). Rome, INU Edizioni.
EASAC. (2019). The Imperative of Climate Action to Protect Human Health in Europe. European Academies Science Advisory Council, Report 38/2019, ISBN: 978-3-8047-4011-2
European Commission. (2016). The Forms and the Functions of the Green Infrastructures. Brussels, Belgium: European Commission/Environmental.
Ferreira JC, Monteiro R, Silva VR. (2021). Planning a Green Infrastructure Network from Theory to Practice: The Case Study of Setúbal, Portugal. Sustainability. 2021; 13(15):8432. https://doi.org/10.3390/su13158432
Ejiagha, I. R., Ahmed, M. R., Hassan, Q. K., Dewan, A., Gupta, A., & Rangelova, E. (2020). Use of Remote Sensing in Comprehending the Influence of Urban Landscape’s Composition and Configuration on Land Surface Temperature at Neighbourhood Scale. Remote Sensing, 12, 2508. https://doi.org/10.3390/rs12152508
Fioravanti, G., Piervitali, E., Perconti, W., Fraschetti, P., & Desiato, F. (2016). Regional Baseline Assessment Report (No. LIFE14/CCA/IT/00036). Programme LIFE 2014–2020 – Climate Change Adaptation. Project ACRONYM: LIFE SEC ADAPT. European Commission, Directorate-General for Environment
Forest Research. (2010). Benefits of Green Infrastructures. Farnham, UK: Forest Research
Gabriele, M., Brumana, R., Previtali, M. et al. (2023). A combined GIS and remote sensing approach for monitoring climate change-related land degradation to support landscape preservation and planning tools: the Basilicata case study. Appl Geomat 15, 497–532 (2023). https://doi.org/10.1007/s12518-022-00437-z
Huete, A.R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, 295-309. DOI: 10.1016/0034-4257(88)90106-X
IPCC. (2022). Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama (Eds.)]. Cambridge University Press. DOI: 10.1017/9781009325844
Istituto Nazionale di Statistica. (2020a). Invecchiamento attivo e condizione di vita degli anziani in Italia [Brochure]. Rome, Italy: ISTAT
Istituto Nazionale di Statistica. (2020b). Rapporto sul territorio 2020: Ambiente, economia e società [Rapporto]. Rome, Italy: ISTAT. DOI: 10.1481/Istat.Rapportoterritorio.2020
Lai, S., Isola, F., Leone, F. & Zoppi C. (2021). Assessing the potential of green infrastructure to mitigate hydrogeological hazard. TeMA - Journal of Land Use, Mobility and Environment, 109-133. DOI: 10.6092/1970-9870/7411.
Lastoria, B., Bussettini, M., Mariani, S., Piva, F., Braca, G. (2021). Rapporto sulle condizioni di pericolosità da alluvione in Italia e indicatori di rischio associati. Istituto Superiore per la Protezione e la Ricerca Ambientale, Rapporti 353/21, Rome
Lin, L., Wu, Z., & Liang, Q. (2019). Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework. Natural Hazards, 97, 455–475. https://doi.org/10.1007/s11069-019-03615-2
Liu, J. G., & Mason, P. J. (2016). Image Processing and GIS for Remote Sensing: Techniques and Applications (2nd ed.). Wiley-Blackwell
Maiullari, D., Pijpers-van Esch, M., & Timmeren, A. (2021). A Quantitative Morphological Method for Mapping Local Climate Types. Urban Planning, 6(3), 240-257. DOI: https://doi.org/10.17645/up.v6i3.4223
Maragno, D., dall'Omo, C. F., Pozzer, G., & Musco, F. (2021). Multi-Risk Climate Mapping for the Adaptation of the Venice Metropolitan Area. Sustainability, 13(3), 1334. https://doi.org/10.3390/su13031334
Munafò, M. (Ed.), (2019). Consumo di suolo, dinamiche territoriali e servizi ecosistemici. Edizione 2019. Report SNPA 08/19
Munafò, M. (Ed.). (2022). Consumo di suolo, dinamiche territoriali e servizi ecosistemici. Edizione 2022. Report SNPA 32/22.
Nanni, Minutolo (Ed.). (2022). Osservatorio di Legambiente Cittàclima. Il clima è già cambiato: Gli impatti di siccità e caldo estremo sulle città, i territori e le persone.
Oke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2017). Urban Climates. Cambridge University Press
Oke, T. R. (2006). Towards better scientific communication in urban climate. Theoretical and Applied Climatology, 84, 179-190. DOI: 10.1007/s00704-005-0153-0
Osservatorio Nazionale Città-Clima LEGAMBIENTE. (2022). Gli impatti di siccità e caldo estremo sulle città, i territori e le persone. LEGAMBIENTE
Partheepan, K., Musthafa, M. M., & Bhavan, T. (2023). Remote sensing investigation of spatiotemporal land-use changes. TeMA Journal of Land Use, Mobility and Environment, 16(2), 383-402. http://dx.doi.org/10.6093/1970-9870/9908
Pecero-Casimiro, R., Fernández-Rodríguez, S., Tormo-Molina, R., Monroy-Colín, A., Silva-Palacios, I., Cortés-Pérez, J. P., Gonzalo-Garijo, Á., & Maya-Manzano, J. M. (2019). Urban aerobiological risk mapping of ornamental trees using a new index based on LiDAR and Kriging: A case study of plane trees. Science of The Total Environment, 693, 133576. https://doi.org/10.1016/j.scitotenv.2019.07.382
PNACC – Piano Nazionale di Adattamento ai Cambiamenti Climatici, Allegato I. (2018). Analisi della condizione climatica attuale e futura. Awaiting approval
Pozzer, G., Maragno, D., Magni, F., & Musco, F. (2021). Remote sensing e spatial modelling per strategie di adattamento ai cambiamenti climatici: caso studio Valle Savio. In B. Murgante, E. Pede, & M. Tiepolo (Eds.), Innovazione tecnologica per la riorganizzazione spaziale. Atti della XXIII Conferenza Nazionale SIU DOWNSCALING, RIGHTSIZING. Contrazione demografica e riorganizzazione spaziale (Vol. 09, pp.31-44). Planum Publisher e Società Italiana degli Urbanisti. Rome-Milan
Regione Abruzzo. (2022). PIANO STRATEGICO DEL TURISMO 2023-2025. GIUNTA REGIONALE D’ABRUZZO DIPARTIMENTO SVILUPPO ECONOMICO-TURISMO. https://bura.regione.abruzzo.it/sites/bura.regione.abruzzo.it/files/bollettini/2023-04-18/p-69-2022-allegato-pst-2023-2025-15-12-22-pdf-p7m-1.pdf
Regione Marche. (2023). Piano di adattamento al cambiamento climatico Regione Marche 2023 – 2029. Regione Marche Settore Fonti energetiche, rifiuti, cave e miniere https://www.regione.marche.it/portals/0/Ambiente/VAS/VASR/VAS_0038/Piano_Rev0.pdf
Rosenzweig, C., Solecki, W.D., Romero-Lankao, P., Mehrotra, S., Dhakal, S., Ibrahim, S.A. (Eds., 2018). Climate Change and Cities: Second Assessment Report of the Urban Climate Change Research Network-UCCRN (1st ed.). Cambridge University Press: Cambridge, UK; New York, NY, USA. ISBN 978-1-316-60333-8
Salata K., Yiannakou A.(2016). Green Infrastructure and climate change adaptation. TeMA - Journal of Land Use, Mobility and Environment, 9 (1), 7-24. doi: http://10.6092/1970-9870/3723
Sandra C. Freitas, Isabel F. Trigo, João Macedo, Carla Barroso, Ricardo Silva & Rui Perdigão (2012). Land surface temperature from multiple geostationary satellites. International Journal of Remote Sensing. DOI: 10.1080/01431161.2012.716925
Sedlák, P., Komárková, J., Langerová, M., & Čermáková, I. (2018). Usage of spectral indices in monitoring of green in the selected parts of the Pardubice region (The Czech Republic). In T. Bandrova & M. Konečný (Eds.), Proceedings of the 7th International Conference on Cartography and GIS, 18-23 June 2018, Sozopol, Bulgaria (pp. 442-451). ISSN 1314-0604
Shirgir, E., Kheyroddin, R. & Behzadfar, M. (2019). Defining urban green infrastructure role in the analysis of climate resilience in cities based on landscape ecology principles. TeMA - Journal of Land Use, Mobility and Environment, 12(3), 227-247. DOI: http://dx.doi.org/10.6092/1970-9870/6250
Spano, D., Mereu, V., Bacciu, V., et al. (2020). Analisi del rischio. I cambiamenti climatici in Italia [Risk analysis: Climate change in Italy]. DOI: 10.25424/CMCC/ANALISI_DEL_RISCHIO
Sturiale L, & Scuderi A. (2019). The Role of Green Infrastructures in Urban Planning for Climate Change Adaptation. Climate. 2019; 7(10):119. https://doi.org/10.3390/cli7100119
Tirabassi, T. & Nassetti, S. (1999).The representative day. Atmos. Environ. 1999, 33, 2427–2434
Todeschi, V.; Pappalardo, S.E.; Zanetti, C.; Peroni, F.; & Marchi, M.D. (2023). Climate Justice in the City: Mapping Heat-Related Risk for Climate Change Mitigation of the Urban and Peri-Urban Area of Padua (Italy). ISPRS Int. J. Geo-Inf. 2022, 11, 490. https://doi.org/10.3390/ijgi11090490
Trigila A., Iadanza C., Lastoria B., Bussettini M., & Barbano A. (2021) Dissesto idrogeologico in Italia: pericolosità e indicatori di rischio – Edizione 2021. ISPRA, Rapporti 356/2021
UN-Habitat. UN-United Nations Human Settlements Programme, (2020). World Cities Report 2020 – The Value of Sustainable Urbanization. Nairobi, Kenya: ISBN: 978-92-1-132872-1
van Maarseveen, M., Martinez, J., & Flacke, J. (Eds.). (2019). GIS in Sustainable Urban Planning and Management: A Global Perspective. Boca Raton, FL: CRC Press, Taylor & Francis Group.
Wesley, E. J., & Brunsell, N. A. (2019). Greenspace Pattern and the Surface Urban Heat Island: A Biophysically-Based Approach to Investigating the Effects of Urban Landscape Configuration. Remote Sensing, 11, 2322. https://doi.org/10.3390/rs11192322
World Bank. (2021). A Catalogue of Nature-based Solutions for Urban Resilience. Washington, D.C.: World Bank Group
Wright D.J., & Harder C., (Eds., 2020). GIS for Science: Applying Mapping and Spatial Analytics, Volume 2. Esri Press, Redlands, CA, USA: ISBN 9781589485877
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