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DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience

Sun, Wenlu and Sun, Yao and Liu, Chenying and Albrecht, Conrad M (2023) DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3616-3619. IGARSS 2023, July 16-21, 2023, Pasadena, CA, USA. doi: 10.1109/IGARSS52108.2023.10281573.

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Official URL: https://ieeexplore.ieee.org/document/10281573


Urban land use structures impact local climate conditions of metropolitan areas. To shed light on the mechanism of local climate wrt. urban land use, we present a novel, data-driven deep learning architecture and pipeline, DeepLCZChange, to correlate airborne LiDAR data statistics with the Landsat 8 satellite's surface temperature product. A proof-of-concept numerical experiment utilizes corresponding remote sensing data for the city of New York to verify the cooling effect of urban forests.

Item URL in elib:https://elib.dlr.de/195495/
Document Type:Conference or Workshop Item (Poster)
Additional Information:latest version available as https://arxiv.org/abs/2306.06269
Title:DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Liu, ChenyingUNSPECIFIEDhttps://orcid.org/0000-0001-9172-3586147373140
Albrecht, Conrad MUNSPECIFIEDhttps://orcid.org/0009-0009-2422-7289UNSPECIFIED
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 3616-3619
Keywords:urban planning, local climate zones, climate resilience, LiDAR, Landsat 8, deep neural network architecture, explainable artificial intelligence
Event Title:IGARSS 2023
Event Location:Pasadena, CA, USA
Event Type:international Conference
Event Dates:July 16-21, 2023
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:22 Jun 2023 13:41
Last Modified:24 Nov 2023 18:43

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