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Urban ecosystems mapping from spaceborne high-resolution optical data
KTH, Geodesi och geoinformatik.ORCID iD: 0000-0002-6140-2922
KTH, Geodesi och geoinformatik.ORCID iD: 0000-0003-4434-7244
KTH, Geodesi och geoinformatik.
2014 (English)In: Proc. ‘Dragon 3 Mid-Term Results Symposium’, Chengdu, P.R. China 26–29 May 2014 (ESA SP-724, November 2014), 2014Conference paper, Published paper (Refereed)
Abstract [en]

The potential of high-resolution optical satellite images for mapping of ecologically important urban space is investigated in this study. Both a GeoEye-1 and a Landsat 8 scene over central Shanghai were first segmented by two different algorithms and then classified into seven urban classes by SVM. Shadows in the pan-sharpened GeoEye-1 image were masked out and replaced by the corresponding pan-sharpened classified Landsat 8 image. Largest confusions occurred between sealed and permeable but non-vegetated surfaces, and between low-rise residential and high-rise commercial buildings. Based on the classification result, ecosystem service balances, supply and demand was modelled for each particular land cover class. Classification accuracies of 88% and 91% could be reached, indicating the suitability of the underlying data and method for this application domain. The KTH-SEG segmentation algorithm slightly outperformed the one implemented in eCognition. The highest supply of ecosystem services was found in water bodies whereas high-rise built-up areas revealed largest demands.

Place, publisher, year, edition, pages
2014.
Keywords [en]
Urbanization, SVM, Segmentation, Ecosystem Services, High-Resolution
National Category
Remote Sensing
Research subject
Geodesy and Geoinformatics
Identifiers
URN: urn:nbn:se:kau:diva-75062ISBN: 978-92-9221-288-9 (print)OAI: oai:DiVA.org:kau-75062DiVA, id: diva2:1357846
Conference
Dragon 3 Mid-Term Results Symposium, Chengdu, P.R. China 26–29 May 2014
Note

NV 20150410

Available from: 2019-10-04 Created: 2019-10-04 Last updated: 2019-10-07Bibliographically approved

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Haas, JanJacob, Alexander

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf