Journal of Digital Landscape Architecture

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Green Space Intensity, Land Surface Temperature and Green Canopy Top Mapping: A Case Study in the Suburban Settlement of Törökbálint, Hungary

Our research aimed to generate maps for an online decision support platform of the municipal website of the town Törökbálint, in the Agglomeration of Budapest, Hungary. The town is rapidly developing, thus green space management, and urban heat island effect mitigation have become important issues. We used vegetation index, land surface temperature calculation method and image classification methods. We processed satellite images, orthophotos and digital surface models to generate map layers showing the vitality of green space, the surface heat average, and the height of green canopy top. The maps were requested to be understandable for lay people and local decision-makers but relevant for experts in spatial development, urban planning and town management. These requirements meet with several points of geodesign framework but there are further steps recommended based on the feedback of users.

Autor / Author: Jombach, Sándor; Üsztöke, Laura; Hassan, Yaseen N.; Chenyu, Du
Institution / Institution: Hungarian University of Agriculture and Life Sciences, Budapest/Hungary; Hungarian University of Agriculture and Life Sciences, Budapest/Hungary; Hungarian University of Agriculture and Life Sciences, Budapest/Hungary & University of Sulaimani, Sulaimani/Iraq; Hungarian University of Agriculture and Life Sciences, Budapest/Hungary
Seitenzahl / Pages: 9
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): Remote sensing, green space, heat island, image classification, decision support
Paper review type: Full Paper Review
DOI: doi:10.14627/537740045
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