Aktiviteetteja vuodessa
Abstrakti
The achievement of climate neutrality is a fundamental goal for cities in the next 30 years. In order to achieve this goal, this research focuses on a novel tree carbon sequestration utilizing point clouds. Using a multi-algorithm workflow, tree information is extracted to calculate carbon storage from airborne and mobile laser scanning data, using Helsinki as a test case. The study employs local maximum and seeded region growing algorithms to detect tree locations and crown extents from aerial point clouds. A Python script is generated using the DBSCAN algorithm to extract tree point clouds and trunk diameters. The established allometric equations are utilized to calculate the carbon sequestration of trees. The results are integrated into the digital platform, filling the gap in urban digital twins' carbon storage information. This innovative approach will contribute significantly to urban planning and decision-making for sustainable cities in the face of climate challenges.
Alkuperäiskieli | Englanti |
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Otsikko | SIGraDi 2023: Accelerated Landscapes |
Alaotsikko | XXVII International Conference of the Ibero-American Society of Digital Graphics |
Toimittajat | Fernando García Amen, Ángel Armagno Gentile, Ana Laura Goñi Fitipaldo |
Julkaisupaikka | Montevideo, Uruguay |
Kustantaja | Universidad de la República |
Sivut | 91-102 |
Sivumäärä | 12 |
ISBN (elektroninen) | 978-9915-9635-0-1 |
Tila | Julkaistu - 2023 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | International Conference of the Ibero-American Society of Digital Graphics - Punta del Este, Uruguay Kesto: 29 marrask. 2023 → 1 jouluk. 2023 Konferenssinumero: 27 https://sigradi.org/sigradi2023/ |
Conference
Conference | International Conference of the Ibero-American Society of Digital Graphics |
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Lyhennettä | SIGraDi |
Maa/Alue | Uruguay |
Kaupunki | Punta del Este |
Ajanjakso | 29/11/2023 → 01/12/2023 |
www-osoite |
Sormenjälki
Sukella tutkimusaiheisiin 'Building Green Decarbonization for Urban Digital Twin – Estimating Carbon Sequestration of Urban Trees by Allometric Equations using Blend Types of Point Cloud'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.Aktiviteetit
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Building Green Decarbonization for Urban Digital Twin – Estimating Carbon Sequestration of Urban Trees by Allometric Equations using Blend Types of Point Cloud
Yao, C. (Puhuja) & Fricker, P. D. P. (Puhuja)
2023Aktiviteetti: Konferenssiesitelmä