{"id":11241,"date":"2023-01-17T13:40:55","date_gmt":"2023-01-17T12:40:55","guid":{"rendered":"https:\/\/www.digitalfutures.kth.se\/?page_id=11241"},"modified":"2023-01-17T13:40:55","modified_gmt":"2023-01-17T12:40:55","slug":"publications","status":"publish","type":"page","link":"https:\/\/wpmu-tris.sys.kth.se\/digitalfutures\/research\/collaborative-projects\/on-going-collaborative-projects\/earth-observation-big-data\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

We like to inspire and share interesting knowledge!<\/strong><\/p>\n

Peer-reviewed journal publications and book chapter<\/em><\/p>\n

    \n
  1. Hafner, S. Y. Ban and A. Nascetti, 2022. Unsupervised Domain Adaptation for Global Urban Extraction Using Sentinel-1 and Sentinel-2 Data. Remote Sensing of Environment. Vol. 280,113192, https:\/\/doi.org\/10.1016\/j.rse.2022.113192<\/a>.<\/li>\n
  2. Hafner, S., A. Nascetti, H. Azizpour and Y. Ban, 2022. Sentinel-1 and Sentinel- 2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net. IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 1-5. doi: 10.1109\/LGRS.2021.3119856.<\/li>\n
  3. Mugiraneza, T., S. Hafner, J. Haas, Y. Ban. 2022. Monitoring urbanization and environmental impact in Kigali, Rwanda using Sentinel-2 MSI data and ecosystem service bundles. International Journal of Applied Earth Observation and Geoinformation, Vol. 109, 102775. DOI: https:\/\/doi.org\/10.1016\/j.jag.2022.102775<\/a>.<\/li>\n
  4. Yadav, R., A. Nascetti, Y. Ban. 2022. Deep Attentive Fusion network for Flood Detection on Uni-temporal Sentinel-1 Data. Frontiers in Remote Sensing, section Microwave Remote Sensing (Accepted).<\/li>\n
  5. Hu, X., Y. Ban, and A, Nascetti. 2021. Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep Learning. Remote Sensing, 13, no. 8: 1509.<\/li>\n
  6. Hu, X., Y. Ban, and A, Nascetti. 2021. Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach. International Journal of Applied Earth Observation and Geoinformation, 101, 102347.<\/li>\n
  7. Zhang, P., Y. Ban, and A. Nascetti. 2021. Learning U-Net without Forgetting for Near Real-Time Wildfire Monitoring by the Fusion of SAR and Optical Time Series. Remote Sensing of Environment, 1-12. https:\/\/doi.org\/10.1016\/j.rse.2021.112467<\/a>.<\/li>\n
  8. Zhao Y, and Y. Ban. 2022. GOES-R Time Series for Early Detection of Wildfires with Deep GRU-Network. Remote Sensing. 2022; 14(17):4347. https:\/\/doi.org\/10.3390\/rs14174347<\/a>.<\/li>\n
  9. Furberg, D., and Y. Ban. 2021. Satellite monitoring of urbanization and environmental impacts in Stockholm, Sweden, through a multiscale approach. Urban Remote Sensing, 2nd Edition, Ed: X. Yang, Wiley.<\/li>\n
  10. Furberg, D., Ban, Y. & Mo\u0308rtberg, U., 2020. Monitoring urban green infrastructure changes and impact on habitat connectivity using high-resolution satellite data. Remote Sensing, 12(18), 3072. https:\/\/doi.org\/10.3390\/rs12183072<\/a>.<\/li>\n
  11. Ban, Y., Zhang, P., Nascetti, A., Bevington, A. R., Wulder, M. A., 2020. Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning. Scientific Reports, 10(1), 1\u201315. https:\/\/www.nature.com\/articles\/s41598-019-56967-x<\/a>.<\/li>\n<\/ol>\n

    Peer-Reviewed Conference Papers<\/em><\/p>\n

      \n
    1. Hafner, S., Y. Ban and A. Nascetti, 2022. Urban Change Detection Using a Dual-Task Siamese Network and Semi-Supervised Learning. Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2022, Kuala Lumpur, Malaysia.<\/li>\n
    2. Hu, X., P. Zhang and Y. Ban, 2022. Gan-Based SAR to Optical Image Translation in Fire- Disturbed Regions. Proceedings of IGARSS\u20192022, Kuala Lumpur, Malaysia.<\/li>\n
    3. Zhang, P., X. Hu, and Y. Ban, 2022. Wildfire-S1S2-Canada: A Large-Scale Sentinel-1\/2 Wildfire Burned Area Mapping Dataset Based on the 2017-2019 Wildfires in Canada. Proceedings of IGARSS\u20192022, Kuala Lumpur, Malaysia.<\/li>\n
    4. Zhao, Y., Y. Ban, 2022. Global Scale Burned Area Mapping Using Bi-Temporal ALOS-2 PALSAR-2 L-Band Data. Proceedings of IGARSS\u20192022, Kuala Lumpur, Malaysia.<\/li>\n
    5. Yadav, R., A. Nascetti and Y. Ban, 2022. “Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data,” Proceedings, IGARSS\u20192022.<\/li>\n
    6. Yadav, R., Y. Ban and A. Nascetti, 2022. “Building Change Detection using Multi-Temporal Airborne LiDAR Data,” Proceedings, XXIV ISPRS Congress (2022 edition), 6\u201311 June 2022, Nice, France.<\/li>\n
    7. Hafner, S., Y. Ban and A. Nascetti, 2021. Exploring the Fusion of Sentinel-1 SAR and Sentinel-2 MSI Data for Built-Up Area Mapping Using Deep Learning. Proceedings of IGARSS\u20192021, Brussels, Belgium.<\/li>\n
    8. Zhao, Y., Y. Ban and A. Nascetti, 2021. “Early Detection of Wildfires with GOES-R Time- Series and Deep GRU Network,” Proceedings of IGARSS\u20192021, Brussels, Belgium.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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