Publication Details |
| Category | Text Publication |
| Reference Category | Book chapters |
| DOI | 10.1109/JURSE.2017.7924585 |
| Title (Primary) | Derive an understanding of Green Infrastructure for the quality of life in cities by means of integrated RS mapping tools |
| Title (Secondary) | 2017 Joint Urban Remote Sensing Event, Dubai, UAE, 06-08 March 2017 |
| Author | Wang, J.; Banzhaf, E. |
| Source Titel | Joint Urban Remote Sensing Event (JURSE) |
| Year | 2017 |
| Department | SUSOZ |
| Volume | 2017 |
| Page From | 1 |
| Page To | 4 |
| Language | englisch |
| Keywords | Green Infrastructure; Object Based Image Analysis (OBIA); Urban Remote Sensing; urban green cover; urban dynamics; urban planning strategies |
| UFZ wide themes | 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. |
| Persistent UFZ Identifier | 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 10.1109/JURSE.2017.7924585 |
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