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EO4Urban :
EO4Urban : Sentinel-1A SAR and Sentinel-2A MSI data for global urban services
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- Ban, Yifang (författare)
- KTH,Geoinformatik
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- Webber, Luke (författare)
- KTH,Geoinformatik
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Gamba, P. (författare)
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Paganini, M. (författare)
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2017
- 2017
- Engelska.
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Ingår i: 2017 Joint Urban Remote Sensing Event, JURSE 2017. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781509058082
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The overall objective of this research is to evaluate multitemporal Sentinel-1A SAR and Sentinel-2A MSI data for global urban services using innovative methods and algorithms, namely KTH-Pavia Urban Extractor, a robust algorithm for urban extent extraction and KTH-SEG, a novel object-based classification method for detailed urban land cover mapping. Ten cities around the world in different geographical and environmental conditions were selected as study areas. Large volumes of Sentinel-1A SAR and Sentinel-2A MSI data were acquired during the vegetation season in 2015 and 2016. The urban extraction results showed that urban areas and small towns could be well extracted using multitemporal Sentinel-1 SAR, Sentinel-2A MSI data and their fusion using the Urban Extractors developed within the project. For urban land cover mapping, multitemporal Sentinel-1A SAR data alone yielded an overall classification accuracy of 60% for Stockholm. Sentinel-2A MSI data as well as the fusion of Sentinel-1A SAR and Sentinel-2A MSI data, however, produced much higher classification accuracies, both reached 80%.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Fjärranalysteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Remote Sensing (hsv//eng)
Nyckelord
- EO4Urban
- Global Urban Services
- KTH-SEG
- Sentinel-1A SAR
- Sentinel-2A MSI
- Urban Extractor
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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