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Synergies of Sentinel-1A and Sentinel-2A MSI Data for Urban Ecosystem Service Mapping
KTH Sweden.ORCID iD: 0000-0002-6140-2922
KTH Sweden.
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The objective of the study is to evaluate the potential use and synergetic effects of novel ESA Sentinel-1A C-band SAR and Sentinel-2A MSI data for mapping of ecologically important urban and peri-urban space. Image resolutions between 5 m and 20 m provided by the Sentinel satellites introduce a new relevant spatial scale in-between high and medium resolution data at which not only urban areas but also their important hinterlands are expected to be effectively and efficiently mapped. The fusion of Sentinel-1/2 facilitates both the capture of ecologically relevant details but at the same time also enables large-scale urban analyses that draw surrounding regions into consideration. The combined use of Sentinel-1A SAR in Interferometric Wide Swath mode and simulated Sentinel-2A MSI (APEX) data is being evaluated in classification of a metropolitan area over Zürich, Switzerland. The SAR image was pre-processed using Range-Doppler terrain correction. A 5x5 adaptive Lee speckle filter was applied to the VH and VV intensity bands before co-registration to the simulated Sentinel-2 image. After radiometric and spatial resampling, the fused images were segmented by the KTH-SEG algorithm before being classified by SVM. After reclassification under masks and sieve-filtering, the resulting landscape patches were investigated in terms of spatial characteristics and topological relations that are deemed to be influential for ecosystem service provision. Based on the classification result, ecosystem service supply and demand values that account for spatial and topological patch characteristics were attributed to 14 different land cover classes. The method and underlying data were found suitable for urban land-cover and ecosystem service mapping. The introduction of spatial aspects into ecosystem service providing areas is believed to add another important aspect in currently existing valuation approaches.

Place, publisher, year, edition, pages
2015.
National Category
Remote Sensing
Research subject
Geomatics
Identifiers
URN: urn:nbn:se:kau:diva-75092OAI: oai:DiVA.org:kau-75092DiVA, id: diva2:1358064
Conference
35th EARSeL Symposium – European Remote Sensing: Progress, Challenges and Opportunities Stockholm, Sweden, June 15-18, 2015
Available from: 2019-10-07 Created: 2019-10-07 Last updated: 2019-10-16Bibliographically approved

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Haas, Jan

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CiteExportLink to record
Permanent link

Direct link
Cite
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