Details zur Publikation |
Kategorie | Textpublikation |
Referenztyp | Buchkapitel |
DOI | 10.1109/JURSE.2017.7924585 |
Titel (primär) | Derive an understanding of Green Infrastructure for the quality of life in cities by means of integrated RS mapping tools |
Titel (sekundär) | 2017 Joint Urban Remote Sensing Event, Dubai, UAE, 06-08 March 2017 |
Autor | Wang, J.; Banzhaf, E. |
Quelle | Joint Urban Remote Sensing Event (JURSE) |
Erscheinungsjahr | 2017 |
Department | SUSOZ |
Band/Volume | 2017 |
Seite von | 1 |
Seite bis | 4 |
Sprache | englisch |
Keywords | Green Infrastructure; Object Based Image Analysis (OBIA); Urban Remote Sensing; urban green cover; urban dynamics; urban planning strategies |
UFZ Querschnittsthemen | TERENO; RU6; |
Abstract | The provision of urban green areas has long been associated with an improvement of the quality of life in cities. In order to achieve a sustainable urban development for a livable city, it is significant to measure urban Green Infrastructure (GI) at micro-scale level as it provides various urban ecosystem services. Grounded on Object Based Image Analysis we distinguish classes of urban trees and obtain a detailed differentiation of GI in an urbanized environment. Our integrated Remote Sensing mapping tools give a possibility to measure and assess urban GI at more detailed resolutions, and thereafter link urban GI to its functions for a multifunctional GI, through which we can, hence derive a better understanding of the contribution of GI for a better urban quality of life. |
dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18772 |
Wang, J., Banzhaf, E. (2017): Derive an understanding of Green Infrastructure for the quality of life in cities by means of integrated RS mapping tools 2017 Joint Urban Remote Sensing Event, Dubai, UAE, 06-08 March 2017 Joint Urban Remote Sensing Event (JURSE) 2017 Institute of Electrical and Electronics Engineers (IEEE), New York, NY, p. 1 - 4 |