Journal of Digital Landscape Architecture

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Do Green Infrastructure Types Represent Land Surface Temperature? A Case Study of Stuttgart

To combat urban heat islands, comprehensive data on how urban morphological configuration affects temperature is needed. Remote sensing offers diverse products to characterize land surface and to monitor its character, and evaluate changing urban structure typologies. Green Infrastructure Typology (GIT) by Bartesaghi-Koc et al. (2019) is a relatively new typology that combines physical structure (vegetation strata, built structures and water) and spatial descriptors of urban structures as a basis to describe urban climate parameters. Using the city of Stuttgart, Germany as a case study, we assessed the land surface temperature (LST) of GIT classes. Our results indicate that GIT can be adapted for Stuttgart and be used as an approximation to identify urban heat islands and cooler areas, making it a valuable tool for planning resilient and sustainable cities.

Autor / Author: Narváez Vallejo, Alejandra; Schwarz-v.Raumer, Hans-Georg
Institution / Institution: University of Stuttgart, Stuttgart/Germany/Municipality of Stuttgart/Germany; University of Stuttgart, Stuttgart/Germany
Seitenzahl / Pages: 11
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 8-2023
Tagung / Conference: Digital Landscape Architecture 2023 – Future Resilient Landscapes
Veranstaltungsort, -datum / Venue, Date: Dessau Campus of Anhalt University, Germany 24-05-23 - 27-05-23
Schlüsselwörter (de):
Keywords (en): Land surface temperature, Green Infrastructure Typology, urban morphology, urban heat mitigation
Paper review type: Full Paper Review
DOI: doi:10.14627/537740012
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