Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas

Chiara Chioni

doi:10.1007/978-3-031-37129-5_2

Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas

Chiara Chioni^*

^*Tämän työn vastaava kirjoittaja

Ei julkaistu Aalto-yliopiston affiliaatiolla

University of Trento

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

Lacking, declining, marginal, inner areas overlap worldwide with intermediate, rural and mountain territories where climate change and inherent social-spatial vulnerabilities inhibit a smart, sustainable, and inclusive development. Within this framework, the present contribution addresses the lack of methodologies for engaging and empowering community resilience in the case of Italian mountain inner areas by investigating the integrated application of digital tools, technologies and techniques for their planning, design, and management. In a landscape-scale perspective, this work adopts an interdisciplinary and multiscale approach towards the development of rapid and low-cost workflows for 3D reconstructions to support information management activities. Connecting a wide range of methods and tools (i.e., GIS mapping, photogrammetry, point cloud modeling), two research explorations conducted in the Autonomous Province of Trento (Italy) are presented as complementary approaches towards the digital representation of fragile landscapes at different spatial scales of action: the territorial scale of municipal planning in Val di Sole, where 2.5D visualizations of cartographic information in a GIS environment and 3D models relying on satellite data are identified; and the tree scale of forest management in the Mesiano University park, where low-cost alternatives for under-storey vegetation 3D mapping (i.e., Apple iPad Pro with LiDAR sensor and Ricoh Theta V 360° camera) are tested.

Alkuperäiskieli	Englanti
Otsikko	Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings
Toimittajat	Osvaldo Gervasi, Beniamino Murgante, Francesco Scorza, Ana Maria A. C. Rocha, Chiara Garau, Yeliz Karaca, Carmelo M. Torre
Kustantaja	Springer
Sivut	17-26
Sivumäärä	10
ISBN (painettu)	978-3-031-37128-8
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-031-37129-5_2
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Computational Science and Its Applications - Athens, Kreikka Kesto: 3 heinäk. 2023 → 6 heinäk. 2023 Konferenssinumero: 23

Julkaisusarja

Nimi	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta	14112 LNCS
ISSN (painettu)	0302-9743
ISSN (elektroninen)	1611-3349

Conference

Conference	International Conference on Computational Science and Its Applications
Lyhennettä	ICCSA
Maa/Alue	Kreikka
Kaupunki	Athens
Ajanjakso	03/07/2023 → 06/07/2023

Rahoitus

Acknowledgments. This work is part of an ongoing PhD research financially supported by the Department of Civil, Environmental and Mechanical Engineering (DICAM) of the University of Trento and by the Italian Ministry of University and Research (MUR) in the frame of “B4R– Branding4Resilience. Tourist Infrastructure as a Tool to Enhance Small Villages by Drawing Resilient Communities and New Open Habitats” (Project number: 201735N7HP). The latter is a research project of relevant national interest (PRIN 2017—Youth Line) coordinated by the Università Politecnica delle Marche (Principal Investigator Prof. Maddalena Ferretti) and involves as partners the Università degli Studi di Palermo (Local Coordinator Prof. Barbara Lino), the Università degli Studi di Trento (Local Coordinator Prof. Sara Favargiotti), and the Politecnico di Torino (Local Coordinator Prof. Diana Rolando). This work is part of an ongoing PhD research financially supported by the Department of Civil, Environmental and Mechanical Engineering (DICAM) of the University of Trento and by the Italian Ministry of University and Research (MUR) in the frame of “B4R– Branding4Resilience. Tourist Infrastructure as a Tool to Enhance Small Villages by Drawing Resilient Communities and New Open Habitats” (Project number: 201735N7HP). The latter is a research project of relevant national interest (PRIN 2017—Youth Line) coordinated by the Università Politecnica delle Marche (Principal Investigator Prof. Maddalena Ferretti) and involves as partners the Università degli Studi di Palermo (Local Coordinator Prof. Barbara Lino), the Università degli Studi di Trento (Local Coordinator Prof. Sara Favargiotti), and the Politecnico di Torino (Local Coordinator Prof. Diana Rolando). The author acknowledges her supervisors, Prof. Sara Favargiotti and Prof. Giovanna A. Massari (University of Trento), for their essential contribution to the development and the outcome of the overall research. With regard to the acquisition of data in the Mesiano University park, the author also acknowledges Prof. Giovanna A. Massari and Prof. Alfonso Vitti (University of Trento) for the free loan of the instrumentation used in the survey campaigns, and Prof. Marco Ciolli, PhD candidates Chiara Frungillo, Anna Maragno, Angelica Pianegonda, Research fellow Andrea Biotti (Univerisity of Trento) for their operative contributions during the acquisitions.

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

SDG 4 – Laadukas koulutus
SDG 10 – Vähentynyt eriarvoisuus
SDG 12 – Vastuullinen kulutus ja tuotanto
SDG 13 – Ilmastotoimet
SDG 15 – Maanpäällinen elämä

Pääsy asiakirjaan

10.1007/978-3-031-37129-5_2

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Siteeraa tätä

Chioni, C. (2023). Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas. teoksessa O. Gervasi, B. Murgante, F. Scorza, A. M. A. C. Rocha, C. Garau, Y. Karaca, & C. M. Torre (Toimittajat), Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings (Sivut 17-26). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 14112 LNCS). Springer. https://doi.org/10.1007/978-3-031-37129-5_2

Chioni, Chiara. / Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas. Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. Toimittaja / Osvaldo Gervasi ; Beniamino Murgante ; Francesco Scorza ; Ana Maria A. C. Rocha ; Chiara Garau ; Yeliz Karaca ; Carmelo M. Torre. Springer, 2023. Sivut 17-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{857bb2c5c3c444a4b5c943819f867276,

title = "Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas",

abstract = "Lacking, declining, marginal, inner areas overlap worldwide with intermediate, rural and mountain territories where climate change and inherent social-spatial vulnerabilities inhibit a smart, sustainable, and inclusive development. Within this framework, the present contribution addresses the lack of methodologies for engaging and empowering community resilience in the case of Italian mountain inner areas by investigating the integrated application of digital tools, technologies and techniques for their planning, design, and management. In a landscape-scale perspective, this work adopts an interdisciplinary and multiscale approach towards the development of rapid and low-cost workflows for 3D reconstructions to support information management activities. Connecting a wide range of methods and tools (i.e., GIS mapping, photogrammetry, point cloud modeling), two research explorations conducted in the Autonomous Province of Trento (Italy) are presented as complementary approaches towards the digital representation of fragile landscapes at different spatial scales of action: the territorial scale of municipal planning in Val di Sole, where 2.5D visualizations of cartographic information in a GIS environment and 3D models relying on satellite data are identified; and the tree scale of forest management in the Mesiano University park, where low-cost alternatives for under-storey vegetation 3D mapping (i.e., Apple iPad Pro with LiDAR sensor and Ricoh Theta V 360° camera) are tested.",

keywords = "Community Resilience, Digital Modeling, Inner Areas, Landscape Representation",

author = "Chiara Chioni",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Computational Science and Its Applications, ICCSA ; Conference date: 03-07-2023 Through 06-07-2023",

year = "2023",

doi = "10.1007/978-3-031-37129-5\_2",

language = "English",

isbn = "978-3-031-37128-8",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "17--26",

editor = "Osvaldo Gervasi and Beniamino Murgante and Francesco Scorza and Rocha, \{Ana Maria A. C.\} and Chiara Garau and Yeliz Karaca and Torre, \{Carmelo M.\}",

booktitle = "Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings",

address = "Germany",

}

Chioni, C 2023, Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas. julkaisussa O Gervasi, B Murgante, F Scorza, AMAC Rocha, C Garau, Y Karaca & CM Torre (toim), Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vuosikerta 14112 LNCS, Springer, Sivut 17-26, International Conference on Computational Science and Its Applications, Athens, Kreikka, 03/07/2023. https://doi.org/10.1007/978-3-031-37129-5_2

Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas. / Chioni, Chiara.
Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. toim. / Osvaldo Gervasi; Beniamino Murgante; Francesco Scorza; Ana Maria A. C. Rocha; Chiara Garau; Yeliz Karaca; Carmelo M. Torre. Springer, 2023. s. 17-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 14112 LNCS).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas

AU - Chioni, Chiara

N1 - Conference code: 23

PY - 2023

Y1 - 2023

N2 - Lacking, declining, marginal, inner areas overlap worldwide with intermediate, rural and mountain territories where climate change and inherent social-spatial vulnerabilities inhibit a smart, sustainable, and inclusive development. Within this framework, the present contribution addresses the lack of methodologies for engaging and empowering community resilience in the case of Italian mountain inner areas by investigating the integrated application of digital tools, technologies and techniques for their planning, design, and management. In a landscape-scale perspective, this work adopts an interdisciplinary and multiscale approach towards the development of rapid and low-cost workflows for 3D reconstructions to support information management activities. Connecting a wide range of methods and tools (i.e., GIS mapping, photogrammetry, point cloud modeling), two research explorations conducted in the Autonomous Province of Trento (Italy) are presented as complementary approaches towards the digital representation of fragile landscapes at different spatial scales of action: the territorial scale of municipal planning in Val di Sole, where 2.5D visualizations of cartographic information in a GIS environment and 3D models relying on satellite data are identified; and the tree scale of forest management in the Mesiano University park, where low-cost alternatives for under-storey vegetation 3D mapping (i.e., Apple iPad Pro with LiDAR sensor and Ricoh Theta V 360° camera) are tested.

AB - Lacking, declining, marginal, inner areas overlap worldwide with intermediate, rural and mountain territories where climate change and inherent social-spatial vulnerabilities inhibit a smart, sustainable, and inclusive development. Within this framework, the present contribution addresses the lack of methodologies for engaging and empowering community resilience in the case of Italian mountain inner areas by investigating the integrated application of digital tools, technologies and techniques for their planning, design, and management. In a landscape-scale perspective, this work adopts an interdisciplinary and multiscale approach towards the development of rapid and low-cost workflows for 3D reconstructions to support information management activities. Connecting a wide range of methods and tools (i.e., GIS mapping, photogrammetry, point cloud modeling), two research explorations conducted in the Autonomous Province of Trento (Italy) are presented as complementary approaches towards the digital representation of fragile landscapes at different spatial scales of action: the territorial scale of municipal planning in Val di Sole, where 2.5D visualizations of cartographic information in a GIS environment and 3D models relying on satellite data are identified; and the tree scale of forest management in the Mesiano University park, where low-cost alternatives for under-storey vegetation 3D mapping (i.e., Apple iPad Pro with LiDAR sensor and Ricoh Theta V 360° camera) are tested.

KW - Community Resilience

KW - Digital Modeling

KW - Inner Areas

KW - Landscape Representation

UR - https://www.scopus.com/pages/publications/85165029443

U2 - 10.1007/978-3-031-37129-5_2

DO - 10.1007/978-3-031-37129-5_2

M3 - Conference article in proceedings

AN - SCOPUS:85165029443

SN - 978-3-031-37128-8

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 17

EP - 26

BT - Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Scorza, Francesco

A2 - Rocha, Ana Maria A. C.

A2 - Garau, Chiara

A2 - Karaca, Yeliz

A2 - Torre, Carmelo M.

PB - Springer

T2 - International Conference on Computational Science and Its Applications

Y2 - 3 July 2023 through 6 July 2023

ER -

Chioni C. Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas. julkaisussa Gervasi O, Murgante B, Scorza F, Rocha AMAC, Garau C, Karaca Y, Torre CM, toimittajat, Computational Science and Its Applications – ICCSA 2023 Workshops, Proceedings. Springer. 2023. s. 17-26. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-37129-5_2

Multiscale Digital Landscape Reconstructions for Resilient Mountain Inner Areas

Abstrakti

Julkaisusarja

Conference

Rahoitus

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

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Sormenjälki

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