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 10.1109/JURSE.2017.7924585