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Klein, Levente J and Albrecht, Conrad M (2022) Urban Forests for Carbon Sequestration and Heat Island Mitigation. "Fragile Earth" workshop (AI for Good) at ACM Knowledge Discovery and Data Mining (KDD) conference, 2022-08-14 - 2022-08-18, Washington, DC, USA.
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Official URL: https://ai4good.org/wp-content/uploads/2022/08/FE2022-Urban-Forests-for-Carbon-Sequestration-and-Heat-Island.pdf
Abstract
Urban forests serve both as a carbon sequestration pool and heat island mitigation tool. Climate change will increase the frequency and severity of urban heat islands. Thus, new urban planning strategies demand our attention. Based on multimodal, remotely sensed data, we map the tree density, its carbon sequestered, and its impact on urban heat islands for Long Island, NY and Dallas, TX. Using local climate zones we investigate concepts of urban planning through optimized tree planting and adjusting building designs to mitigate urban heat islands.
| Item URL in elib: | https://elib.dlr.de/187233/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Additional Information: | workshop webpage: https://ai4good.org/fragile-earth-2022 | ||||||||||||
| Title: | Urban Forests for Carbon Sequestration and Heat Island Mitigation | ||||||||||||
| Authors: |
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| Date: | August 2022 | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | Yes | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Page Range: | pp. 1-8 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | heat island mitigation, carbon sequestrations, urban planning, local climate zones, big geospatial data analytics, LiDAR, Landsat 8 surface temperature | ||||||||||||
| Event Title: | "Fragile Earth" workshop (AI for Good) at ACM Knowledge Discovery and Data Mining (KDD) conference | ||||||||||||
| Event Location: | Washington, DC, USA | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Start Date: | 14 August 2022 | ||||||||||||
| Event End Date: | 18 August 2022 | ||||||||||||
| Organizer: | Association for Computing Machinery | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Space | ||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||
| DLR - Research theme (Project): | R - Artificial Intelligence | ||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||
| Deposited By: | Albrecht, Conrad M | ||||||||||||
| Deposited On: | 11 Jul 2022 11:41 | ||||||||||||
| Last Modified: | 24 Apr 2024 20:48 |
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