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Publications

Peer-reviewed Journal Articles

1.          Zhou, Y., X. Huang, X. Yang, J. Peng, Y. Ban. 2024. DCTN: Dual-branch Convolutional Transformer Network with Efficient Interactive Self-Attention for Hyperspectral Image Classification. IEEE Transaction on Geoscience and Remote Sensing (in press).

2.          Yadav, R., A. Nascetti, H. Azizpour, Y. Ban. 2024. Unsupervised flood detection on SAR time series using variational autoencoder. International Journal of Applied Earth Observation and Geoinformation, Volume 126, 103635, https://doi.org/10.1016/j.jag.2023.103635.

3.          Zhang, P., X. Hu, Y. Ban, A. Nascetti, M. Gong. 2024. Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping: Insights from the 2017–2019 Canada Wildfires. Remote Sensing16, 556. https://doi.org/10.3390/rs16030556.

4.          Zhao, Y., Ban, Y., Sullivan, J. 2023. Tokenized Time-Series Satellite Image Segmentation with Transformer Network for Active Wildfire Detection. IEEE Transaction on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2023.3287498.

5.          Zhang, P., Y. Ban, A. Nascetti. 2023. Total-variation regularized U-Net for wildfire burned area mapping based on Sentinel-1 C-Band SAR backscattering data. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 203, pp 301-313, https://doi.org/10.1016/j.isprsjprs.2023.07.024.

6.          Hafner, S, Y. Ban, A. Nascetti. 2023. Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data.  Remote Sensing 15, 5135. https://doi.org/10.3390/rs15215135.

7.          Hu, X., P. Zhang, Y. Ban, M. Rahnemoonfar. 2023. GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data. Remote Sensing of Environment, Volume 289, 113522. https://doi.org/10.1016/j.rse.2023.113522.

8.          Nhangumbe, M., A. Nascetti, and Y. Ban. 2023. Multi-Temporal Sentinel-1 SAR and Sentinel-2 MSI Data for Flood Mapping and Damage Assessment in Mozambique. ISPRS International Journal of Geo-Information. 12(2):53. https://doi.org/10.3390/ijgi12020053.

9.          Hu, X., P. Zhang and Y. Ban. 2022. Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 196, pp. 228-240. https://doi.org/10.1016/j.isprsjprs.2022.12.026.

10.       Hafner, S., Y. Ban, A. Nascetti and H. Azizpour. 2022. Unsupervised Domain Adaptation for Global Urban Extraction using Sentinel-1 and Sentinel-2 Data. Remote Sensing of Environment. Volume 280, 113192, https://doi.org/10.1016/j.rse.2022.113192.

11.       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

12.       Georganos, S., S. Hafner, M. Kuffer, C. Linard, and Y. Ban. 2022. A census from heaven: Unravelling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments. International Journal of Applied Earth Observation and Geoinformation.

13.       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, 4019805, DOI: 10.1109/LGRS.2021.3119856.

14.       Yadav, R., A. Nascetti, Y. Ban. 2022. Deep Attentive Fusion network for Flood Detection on Uni-temporal Sentinel-1 SAR Data. Frontiers in Remote Sensing, section Microwave Remote Sensing.

15.       Sun, Y., Y Ye, J. Kang, R. Fernandez-Beltran, Y. Ban, X. Li, B. Zhang, A. Plaza. 2022. Multisource Data Reconstruction-based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5546316, doi: 10.1109/TGRS.2022.3231215.

16.       Li, X., X. Yang, X. Li, S.Lu, Y. Ye, and Y. Ban. 2022. GCDB-UNet: A novel robust cloud detection approach for remote sensing images. Knowledge-Based Systems, Vol. 238, 107890, https://doi.org/10.1016/j.knosys.2021.107890.

17.       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.

18.       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, Vol. 261, 112467. https://doi.org/10.1016/j.rse.2021.112467.

19.       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.

20.       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.

21.       Chen, J. L. Chen, F. Chen, Y. Ban, S. Li, G. Han, X. Tong, C. Liu, V. Stamenova & S. Stamenov. 2021. Collaborative validation of GlobeLand30: Methodology and practices, Geo-spatial Information Science, 24:1, 134-144, DOI: 10.1080/10095020.2021.1894906

22.       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. Nature Scientific Reports, 10(1), 1–15.

23.       Furberg, D., Ban, Y. & Mörtberg, U., 2020. Monitoring urban green infrastructure changes and impact on habitat connectivity using high-resolution satellite data. Remote Sensing, 12(18), 3072.

24.       Mugiraneza, T., Nascetti, A. & Ban, Y., 2020. Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and LandTrendr-Google Earth Engine Cloud Computing. Remote Sensing, 12(18), 2883.

25.       Mao, B., Ban, Y. & Laumert, B., 2020. Dynamic Online 3D Visualization Framework for Real-Time Energy Simulation Based on 3D Tiles. ISPRS International Journal of Geo-Information, 9(3), Article ID 166.

26.       A. W. Jacob et al., 2020. Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 535-552.

27.       Zhang, P. A. Nascetti, Y. Ban, M. Gong. 2019. An implicit radar convolutional burn index for burnt area mapping with Sentinel-1 C-band SAR data, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 158, pp. 50-62, https://doi.org/10.1016/j.isprsjprs.2019.09.013.

28.       P. Zhang, M. Gong, H. Zhang, J. Liu and Y. Ban. 2019. Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2018.2872509.

29.       W. Wang, D. Xiang, Y. Ban, J. Zhang and J. Wan, 2019. Superpixel-Based Segmentation of Polarimetric SAR Images through Two-Stage Merging.  Remote Sensing, 11(4), 402; https://doi.org/10.3390/rs11040402.

30.       T. Zhang, L. Jiang, D. Xiang, Y. Ban, L. Pei, H. Xiong, 2019. Ship detection from PolSAR imagery using the ambiguity removal polarimetric notch filter. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 157, pp. 41-58.

31.       Furberg, D., Y. Ban and A. Nascetti. 2019. Monitoring of Urbanization and Analysis of Environmental Impact in Stockholm with Sentinel-2A and SPOT-5 Multispectral Data. Remote Sensing, Special Issue Mapping Ecosystem Services Flows and Dynamics Using Remote Sensing.

32.       Mugiraneza, T., A. Nascetti, Y. Ban. 2019. WorldView-2 Data for Hierarchical Object-Based Urban Land Cover Classification in Kigali: Integrating Rule-Based Approach with Urban Density and Greenness Indices. Remote Sensing, 11, 2128.

33.       Stromann, O. & A. Nascetti, O. Yousif, & Y. Ban. 2019. Dimensionality Reduction and Feature Selection for Object-Based Land Cover Classification based on Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine. Remote Sensing. 12, 76. 10.3390/rs12010076.

34.       J. Haas and Y. Ban. 2018.  Urban Land Cover and Ecosystem Service Changes Based on Sentinel-2A MSI and Landsat TM Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 2, pp. 485 - 497.
doi: 10.1109/JSTARS.2017.2786468.

35.       T. Mugiraneza, J. Haas and Y. Ban. 2018. Urban land cover dynamics and their impact on ecosystems services in Kigali, Rwanda using multi-temporal Landsat data, Remote Sensing Applications: Society and Environment.

36.       W. Wang, D. Xiang, Y. Ban, J. Zhang and J. Wan, 2018. Enhanced Edge Detection for Polarimetric SAR Images Using Directional Span-Driven Adaptive Window. International Journal of Remote Sensing, vol. PP, no. 99, pp. 1-13 DOI: https://doi.org/10.1080/01431161.2018.1460501.

37.       Y. Ban, S. Marullo & L. Eklundh, 2017. European Remote Sensing: Progress, Challenges, and Opportunities, International Journal of Remote Sensing, 38:7, 1759-1764, DOI: 10.1080/01431161.2017.1291484.

38.       Xiang, D., Y. Ban, W. Wang and Y. Su. 2017. Adaptive Superpixel Generation for Polarimetric SAR Images with Local Iterative Clustering and SIRV Model. IEEE Transactions on Geoscience and Remote Sensing. 65:8, 3115-3131. 10.1109/TGRS.2017.2662010.

39.       J. Haas and Y. Ban. 2017. Mapping and Monitoring Urban Ecosystem Services Using Multitemporal High-Resolution Satellite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, no. 2, pp. 669-680. 10.1109/JSTARS.2016.2586582.

40.       Haas, J. and Y. Ban. 2017. Sentinel-1A SAR and Sentinel-2A MSI data fusion for urban ecosystem service mapping. Remote Sensing Applications: Society and Environment. Vol. 8, pp.41-53.

41.       Fredman D, J. Haas, Y. Ban, et al. 2017. Use of a geographic information system to identify differences in automated external defibrillator installation in urban areas with similar incidence of public out-of-hospital cardiac arrest: a retrospective registry-based study. BMJ Open.

42.       W. Wang, D. Xiang Y. Ban, J. Zhang and J. Wan. 2017. Superpixel Segmentation of Polarimetric SAR Data Based on Integrated Distance Measure and Entropy Rate Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.PP, no.99, pp.1-14. doi: 10.1109/JSTARS.2017.2708418.

43.       Yousif O. and Y. Ban, 2017. A novel approach for object-based change image generation using multitemporal high-resolution SAR images. International Journal of Remote Sensing. 38:7, pp 1765-1787. doi: 10.1080/01431161.2016.1217442

44.       Lin, J. and Y. Ban, 2017. Comparative analysis on topological structures of urban street networks. International Journal of Geo-Information, 6 (10), 295.

45.       Xiang, X.,  Y. Ban, W. Wang and Y. Su. 2016. Edge Detector of Polarimetric SAR Images Using SIRV Model and Gauss-Shaped Filter, IEEE Geoscience and Remote Sensing Letters. 13:11, pp 1661 – 1665.

46.       Trouve ́, E., G. Mercier, M. Fauvel, L. Bruzzone and Y. Ban. 2016. Foreword to the Special Issue on Analysis of Multitemporal Data and Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, no. 8, pp. 3356-3358.

47.       Shen, J. and Y. Ban, 2016. Route Choice of the Shortest Travel Time based on Floating Car Data.  Journal of Sensors. DOI: http://dx.doi.org/10.1155/2016/7041653.

48.       D Fredman, L Svensson, Y Ban, M Jonsson, J. Hollenberg, P. Nordberg, M. Ringh, M. Rosenqvist, M. Lundén, A. Claesson, 2016. Expanding the first link in the chain of survival–Experiences from dispatcher referral of callers to AED locations. Resuscitation, Oct, 2016;107:129-34.

49.       Claesson, A, D. Fredman, L. Svensson, M. Ringh, J. Hollenberg, P. Nordberg, M. Rosenqvist, T. Djarv, S. Österberg, J. Lennartsson and Y. Ban. 2016. Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 24:124.

50.       D. Xiang Y. Ban and Y. Su, 2016. Cross Scattering Component of Polarimetric SAR Urban Areas and Its Application on Model-Based Scattering Decomposition, International Journal of Remote Sensing, vol. 37, no. 16, pp. 3729-3752. https://doi.org/10.1080/01431161.2016.1201235.

51.       D. Xiang, T. Tang, Y. Ban, Y. Su and G. Kuang, 2016. Unsupervised Polarimetric SAR urban area classification based on model-based decomposition with cross scattering.  ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 116, pp. 86-100. http://dx.doi.org/10.1016/j.isprsjprs.2016.03.009.

52.       D. Xiang, T. Tang, Y. Ban, Y. Su, 2016. Man-Made Target Detection from Polarimetric SAR Data via Nonstationarity and Asymmetry, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2016.2520518.

53.       Ban, Y., P. Gong and C. Giri. 2015. Global land cover mapping using earth observation satellite data: recent progresses and challenges. ISPRS J. of Photogrammetry & Remote Sensing, Volume 103, p. 1-6. DOI: 10.1016/j.isprsjprs.2015.01.001.

54.       Ban, Y., A. Jacob and P. Gamba, 2015. Spaceborne SAR Data for Global Urban Mapping at 30m Resolution Using a Robust Urban Extractor.  ISPRS J. of Photogrammetry & Remote Sensing, Volume 103, p. 28-37. DOI:10.1016/j.isprsjprs.2014.08.004.

55.       Xiang, D., Y. Ban; Y. Su, "Model-Based Decomposition with Cross Scattering for Polarimetric SAR Urban Areas," in Geoscience and Remote Sensing Letters, IEEE, vol.12, no.12, pp.2496-2500, doi: 10.1109/LGRS.2015.2487450.

56.       Xin Niu, Yifang Ban, Yong Dou, 2015.  RADARSAT-2 fine-beam polarimetric and ultra-fine-beam SAR data for urban mapping: comparison and synergy. International Journal of Remote Sensing.  DOI:10.1080/01431161.2015.1054050.

57.       Haas, J., D. Furberg and Y. Ban. 2015. Satellite Monitoring of Urbanization and Environmental Impacts - A Comparison of Stockholm and Shanghai. International Journal of Applied Earth Observation and Geoinformation. Vol. 38, pp. 138-149. http://dx.doi.org/10.1016/j.jag.2014.12.008.

58.       Huang, W. S. Li, X. Liu, and Y. Ban, 2015.  Predicting human mobility with activity changes.   International Journal of Geographical Information Science, Vol. 29, Issue: 9. DOI:10.1080/13658816.2015.1033421.

59.       Mao, B., Y. Ban and L. Harrie, 2015. Real-time visualization of 3D city models at street level based on visual saliency.  SCIENCE CHINA Earth Sciences, Vol. 58, No. 3, pp. 448-461. DOI: 10.1007/s11430-014-4955-8.

60.       Chen J., Y. Ban and S. Li, 2014, China: Open access to Earth land-cover map, Nature, Vol. 514, Issue 7323, 434, DOI:10.1038/514434c.

61.       Yousif O. and Y. Ban, 2014. Improving SAR-Based Urban Change Detection by Combining MAP-MRF Classifier and Nonlocal Means Similarity Weights, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2014.2347171.

62.       Hu, H. and Y. Ban. 2014. Unsupervised Changed Detection in Multitemporal SAR Images over Large Urban Areas. IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.8, pp.3248-3261, DOI: 10.1109/JSTARS.2014.2344017.

63.       Liu, X., Y. Ban and S. Li. 2014. An across-country comparison of the hierarchical spatial structures of cities, Geomatica, Vol. 68, No. 3.

64.       Lin, J. and Y. Ban. 2014.  The evolving network structure of US airline system during 1990-2010 Physica A: Statistical Mechanics and its Applications, Vol.410, pp. 302-312.

65.       Piwowar, J.M., Y. Ban, G. McDermid, L Bruzzone. 2014. Foreword to the Special Issue on the Analysis of Multitemporal Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.8, pp.3187-3189. DOI: 10.1109/JSTARS.2014.2357854.

66.       Qin, Y., W. Yao, T. Vu, S. Li and Y. Ban. 2014. Characterizing Radiometric Attributes of Point Cloud Using a Normalized Reflective Factor derived from Small Footprint LiDAR Waveform. IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing. Vol. 8, No. 2, pp. 740-749.

67.       Haas, J., and Y. Ban, 2014. Urban growth and environmental impacts in Jing-Jin-Ji, the Yangtze River Delta and the Pearl River Delta. International Journal of Applied Earth Observation and Geoinformation, 30(1):42–55. DOI: 10.1016/j.jag.2013.12.012.

68.       Rui, Y. and Y. Ban, 2014. Exploring the relationship between street centrality and land use in Stockholm. International Journal of Geographic Information Science. Vol. 28, No. 7, pp. 1425-1438. DOI: http://dx.doi.org/10.1080/13658816.2014.893347.

69.       Ban, Y. and A. Jacob, 2013. Object-based Fusion of Multitemporal Multi-angle ENVISAT ASAR and HJ-1 Multispectral Data for Urban Land-Cover Mapping.  IEEE Transaction on GeoScience and Remote Sensing, Vol. 51, No. 4, pp. 1998-2006.  10.1109/TGRS.2012.2236560.

70.       Yousif, O. and Y. Ban, 2013.   Improving Urban Change Detection from Multitemporal SAR Images Using PCA-NLM. IEEE Transaction on GeoScience and Remote Sensing, Vol. 51, No. 4, pp 2032-2041. DOI: 10.1109/TGRS.2013.2245900.

71.       Deng, J and Y. Ban et al., 2014. Hierarchical Segmentation of Multitemporal RADARSAT-2 SAR Data Using Stationary Wavelet Transform and Algebraic Multigrid Method. IEEE Transaction on GeoScience and Remote Sensing. VOL. 52, NO. 7,  pp. 4353-4363. 10.1109/TGRS.2013.2281462.

72.       Niu X. and Y. Ban, 2014. A Novel Contextual Classification Algorithm for Multitemporal Polarimetric SAR Data. IEEE Transaction on GeoScience and Remote Sensing Letters, 11(3): 681-685.

73.       Niu, X., and Y. Ban, 2013. Multitemporal RADARSAT-2 Polarimetric SAR Data for Urban Land Cover Classification using Object-based Support Vector Machine and Rule-based Approach, International Journal of Remote Sensing, 34(1):1-26. DOI: http://dx.doi.org/10.1080/01431161.2012.700133.

74.       Niu X. and Y. Ban. 2013. Multitemporal Polarimetric RADARSAT-2 SAR Data for Urban Land Cover Mapping Through a Dictionary-based and a Rule-based Model Selection in a Contextual SEM Algorithm. Canadian Journal of Remote Sensing, 39(02): 138-151.

75.       Qin, Y., Z. Niu, F. Chen, B. Li & Y. Ban. 2013. Object-based land cover change detection for cross-sensor images. International Journal of Remote Sensing, 34(19): 6723-6737.

76.       Liu. X and Y. Ban. 2013.  Uncovering Spatio-Temporal Cluster Patterns Using Massive Floating Car Data. ISPRS Int. J. Geo-Information, 2(2), 371-384.

77.       Mao, B. and Y. Ban, 2013.  Generalization of 3D building texture using image compression and multiple representation data structure. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 79, pp. 68–79.

78.       Rui, Y., Y. Ban, J. Wang and J. Haas, 2013. Exploring the patterns and evolution of self-organized urban street networks through modeling. The European physical Journal B, 86:74. DOI: 10.1140/epjb/e2012-30235-7.

79.       Lin, J. and Y. Ban, 2013. Complex Network Topology of Transportation Systems. Transport Reviews: A Transnational Transdisciplinary Journal, 33(6):658-685.

80.       Ban, Y. and O. A. Yousif, 2012. Multitemporal Spaceborne SAR Data for Urban Change Detection in China.  IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, 5(4): 1087-1094. DOI: 10.1109/JSTARS.2012.2201135.

81.       Furberg, D. and Y. Ban, 2012.  Satellite Monitoring of Urban Sprawl and Assessment of its Potential Environmental Impact in the GTA between 1985 and 2005.  Environmental Management, DOI: 10.1007/s00267-012-9944-0.

82.       Hu, H. and Y. Ban. 2012. Multitemporal RADARSAT-2 Ultra-Fine-Beam SAR Data for Urban Land Cover Classification.  Canadian Journal of Remote Sensing, 38(01): 1-11, 10.5589/m12-008.

83.       Jia, T.,  B. Jiang, K. Carling, M. Bolin and Y. Ban,  2012.  An empirical study on human mobility and its agent-based modeling. Journal of Statistical Mechanics: Theory and Experiment, P11024, DOI:10.1088/1742-5468/2012/11/P11024.

84.       Mao B., L. Harrie and Y. Ban, 2012.  Detection and typification of linear structures for dynamic visualization of 3D city models.  Computers, Environment and Urban Systems, 36(3): 233–244.

85.       Niu, X. and Y. Ban. 2012. An adaptive SEM algorithm for urban land cover mapping using multitemporal high-resolution polarimetric SAR data, IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, 5(4):1129-1139. DOI: 10.1109/JSTARS.2012.2201448.

86.       Qin, Y., T. Vu and Y. Ban, 2012. Range Determination for Generating Point Clouds from Airborne Small Footprint LiDAR Waveforms, Optics Express.

87.       Rui, Y. and Y. Ban, 2012.  Nonlinear Growth in Weighted Networks with Neighborhood Preferential Attachment. Physica A: Statistical Mechanics and its Applications,Volume 391, Issue 20, p. 4790-4797.

88.       Ban, Y., P. Gamba, P. Gong and P. Du.  2011. Satellite Monitoring of Urbanization in China for Sustainable Development, The Dragon 'Urbanization' Project.  Earthzine.

89.       Kuang W., Liu J., Shao, Q., He J.,  Sun, C., Tian H.,  Ban., Y. 2011. Dynamic Urban Growth Model at Regional Scale and Its Application, Acta Geographica Sinica, 66(2).

90.       Mao B. and Y. Ban, 2011.  Online Visualization of 3D City Model through the Internet using CityGML and X3DOM, Cartographica, vol. 46, No. 2, pp. 109-114, DOI: 10.3138/carto.46.2.109.

91.       Mao B., Y. Ban, L. Harrie, 2011. A Multiple Representation Data Structure for Dynamic Visualisation of Generalised 3D City Models, ISPRS Journal of Photogrammetry and Remote Sensing, special issue on Quality, Scale and Analysis Aspects of Urban City models, 66(2): 198-208. DOI: http://dx.doi.org/10.1016/j.isprsjprs.2010.08.001.

92.       Zhang, Q, Y. Ban, J. Liu and Y. Hu.  2011. Simulation and Analysis of Urban Growth Scenarios for the Greater Shanghai Area, China. Computers, Environment and Urban Systems, 35(2): 126-139. DOI: http://dx.doi.org/10.1016/j.compenvurbsys.2010.12.002.

93.       Qin, Y., T. Vu and Y. Ban, 2011. Towards an Optimal Algorithm for LiDAR Waveform Decomposition. IEEE Transactions on Geoscience and Remote Sensing Letters, 9(3): 482-486

94.       Ban, Y., H. Hu and I. Rangel, 2010. Fusion of QuickBird MS and RADARSAT-1 SAR Data for Urban Land-Cover Mapping: Object-based and Knowledge-Based Approach. International Journal of Remote Sensing, 31(6):1391-1410. DOI: http://dx.doi.org/10.1080/01431160903475415.

95.       Vu, T. T. and Y. Ban. 2010. Context-based mapping of damaged building from high resolution optical satellite images. International Journal of Remote Sensing, Special Issue on Wenchuan Earthquake, 31(13): 3411-3425. DOI: http://dx.doi.org/10.1080/01431161003727697.

96.       Shao, Q., C. Sun, J. Liu, Y. Ban, J. He and W. Kuang. 2009. Impact of Urban Expansion on Meteorological Observation Data and Over-estimation to Regional Air Temperature in China. Acta Geographica Sinica (In Chinese). DOI: 10.1007/s11442-011-0895-9.

97.       Sarker, M., Y. Ban and J. Nichol.  2008. Comparison of Pixel-based, Object-Based and Sequential Masking Classification Procedures for Land Use and Land Cover Mapping using Multiple Sensors SAR in Sweden.  Asian Journal of Geoinformatics, 8: 25-30

98.       Ban, Y. 2003. Multitemporal ERS-1 SAR and Landsat TM data for agricultural crop classification: comparison and synergy. Canadian Journal of Remote Sensing, Vol. 29, No. 4, pp. 518-526. DOI: http://dx.doi.org/10.5589/m03-014.

99.       Ban, Y. and P.J. Howarth.  1999.  Multitemporal ERS-1 SAR data for crop classification: a sequential-masking approach.  Canadian Journal of Remote Sensing¸ Vol. 25, No. 5, pp. 438-447. DOI: http://dx.doi.org/10.1080/07038992.1999.10874743.

100.     Ban, Y. and P.J. Howarth.  1998.  Orbital effects on ERS-1 SAR temporal backscatter profiles of agricultural crops.  International Journal of Remote Sensing, Vol. 19, No. 17, 3465-3470.

101.     Ban, Y., P.M. Treitz, P.J. Howarth, B. Brisco and R.J. Brown.  1995.  Improving the accuracy of synthetic aperture radar for agricultural crop classification. Canadian Journal of Remote Sensing, Special Issue, SAR on Vegetation and Landuse Studies, Vol.21, No. 2, pp.158-164.DOI: http://dx.doi.org/10.1080/07038992.1995.10874609.

102.     Ban, Y. and Q. Chen.  1989.  Remote sensing for urban ecological environment analysis, Nanjing as an example.  Journal of Nanjing University, Geography Section (in Chinese).

103.     Ban, Y., J. Wang, C. Dai and D. Hu.  1989. The key techniques for generating 1:50,000 Landsat TM image maps.  Remote Sensing of Environment, Vol. 4 (in Chinese).

104.     Hu, D., J. Wang, X. He and Y. Ban, 1989. Digital multi-layer classification methods in land use surveying and mapping:  research on land use classification in Nanpi County, Hebei Province. Remote Sensing of Environment, Vol. 4 (in Chinese).

105.     Dai, C., D. Hu, Y. Ban and J. Zhang, 1988. Theoretical basis and practical results of using TM imagery for forest-fire damage analysis.  Developments in Remote Sensing, Vol. 4 (in Chinese).

 

Peer-Reviewed Book Chapters & Books

106.     Sirmacek, S. Gupta, F. Mallor, H. Azizpour, Y. Ban et al., 2023. The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies. The Ethics of Artificial Intelligence for the Sustainable Development Goals. Ed: Francesca Mazzi and Luciano Floridi, Springer.

107.     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.

108.     Ban, Y. 2016.  Editor, Multitemporal Remote Sensing: Methods and Applications. 445 pp., Springer. https://link.springer.com/book/10.1007/978-3-319-47037-5.

109.     Ban, Y. 2016.  Multitemporal Remote Sensing: Current Status, Trends and Challenges. Multitemporal Remote Sensing: Methods and Applications.  Ed.: Y. Ban, Springer.

110.     Ban, Y. and O. Yousif. 2016. Change Detection Techniques: A Review. Multitemporal Remote Sensing: Methods and Applications.  Ed.: Y. Ban, Springer.

111.     Yousif, O. and Y. Ban. 2016. Object-based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding Algorithms. Multitemporal Remote Sensing: Methods and Applications.  Ed.: Y. Ban, Springer.

112.     Ban., Y. and A. Jacob. 2016. Fusion of Multitemporal Spaceborne SAR and Optical Data for Urban Mapping and Urbanization Monitoring. Multitemporal Remote Sensing: Methods and Applications.  Ed.: Y. Ban, Springer.

113.     Ban, Y., O. Yousif and H. Hu. 2014. Fusion of SAR and Optical Data for Urban Land Cover Mapping and Change Detection.  Global Urban Monitoring and Assessment through Earth Observation. Ed. Q. Weng. Taylor & Francis Group, LLC.

114.     Weng Q., P. Gamba, G. Mountrakis, M. Pesaresi, L. Lu, T. Kemper, J. Heinzel, G. Xian, H. Jin, H. Miyazaki, B. Xu, S. Quresh, I. Keramitsoglou, Y. Ban, T. Esch, A. Roth, and C. D. Elvidge, 2014. Urban observation sensors. In Weng, Q. editor. Global Urban Monitoring and Assessment through Earth Observation, Chapter 4. Boca Raton, FL: CRC Press/Taylor and Francis.

115.     Duc K. N., T. T. Vu, Y. Ban, 2014. Ushahidi and Sahana Eden Open-Source Platforms to Assist Disaster Relief: Geospatial Components and Capabilities. Geoinformation for Informed Decisions, 163-174, Springer International Publishing.

116.     Furberg, D. and Y. Ban, 2013.  Satellite Monitoring of Urban Land Cover Change in Stockholm between 1986 and 2006 and Environmental Impact Assessment through the Use of Indicators.  Earth Observation for Global Change 2011, Springer Book.

117.     Rui, Y. and Y. Ban, 2011.  Urban Growth modeling with road network expansion and land use development.  Advances in Cartography and GIScience, Vol. 2, 299-412, Springer Book.

 

Peer-Reviewed Conference Contributions

118.     Zhang, P. and Y. Ban. 2023. Unsupervised Geospatial Domain Adaptation for Large-Scale Wildfire Burned Area Mapping Using Sentinel-2 MSI and Sentinel-1 SAR Data. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS) 2023, Pasadena, California, USA.

119.     Yadav, R., A. Nascetti, Y. Ban. 2023. Context-Aware Change Detection With Semi-Supervised Learning. Proceedings of IGARSS’2023, Pasadena, California, USA.

120.     Nascetti, A., R. Yadav, Y. Ban. 2023. A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series. Proceedings of IGARSS’2023, Pasadena, California, USA.

121.     Hafner, S. and Y. Ban. Multi-Modal Deep Learning for Multi-Temporal Urban Mapping with A Partly Missing Optical Modality. Proceedings of IGARSS’2023, Pasadena, California, USA.

122.     Hafner, S., S. Georganos, T. Mugiraneza and Y. Ban. 2023. Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda. 2023 Joint Urban Remote Sensing Event (JURSE), Heraklion, Greece, pp. 1-4, doi: 10.1109/JURSE57346.2023.10144139.

123.     Hafner, S., Y. Ban and A. Nascetti, 2023. Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping.   2023 Joint Urban Remote Sensing Event (JURSE). Heraklion, Greece, pp. 1-4. Doi:10.1109/JURSE57346.2023.10144208.

124.     Hafner, S., Y. Ban and A. Nascetti, 2022. Urban Change Detection Using a Dual-Task Siamese Network and Semi-Supervised Learning. Proceedings of IGARSS’2022, Kuala Lumpur, Malaysia.

125.     Hu, X., P. Zhang and Y. Ban, 2022.  Gan-Based SAR to Optical Image Translation in Fire-Disturbed Regions. Proceedings of IGARSS’2022, Kuala Lumpur, Malaysia.

126.     Yadav, R., A. Nascetti and Y. Ban, 2022. Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data. Proceedings of IGARSS’2022, Kuala Lumpur, Malaysia.

127.     Zhao, Y., Y. Ban, 2022.  Global Scale Burned Area Mapping Using Bi-Temporal ALOS-2 PALSAR-2 L-Band Data. Proceedings of IGARSS’2022, Kuala Lumpur, Malaysia.

128.     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’2022, Kuala Lumpur, Malaysia.

129.     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’2021, Brussels, Belgium.

130.     Zhao, Y., Y. Ban and A. Nascetti, 2021. Early Detection of Wildfires with GOES-R Time-Series and Deep GRU Network. Proceedings of IGARSS’2021, Brussels, Belgium.

131.     Zhang, T., B. Mao, J. Yang, Y. Ban, H. Xiong, 2019. Ship Detection Using the Surface Scattering Similarity and Scattering Power. Proceedings of IGARSS’2019, Tokyo, Japan.

132.     Mao B. and Y. Ban,  2018.  A Real-time GIS to Improve the Survival of Sudden Cardiac Arrest Outside Hospitals.  AGILE  2018, Lund, Sweden.

133.     Zhang, T., Y. Ban, H. Xiong, W. Yu. 2018. A Ship Detector Based on the Improved Polarimetric Covariance Difference Matrix. Proceedings of IGARSS’2018, Valencia, Spain.

134.     Kakooei, M., A. Nascetti, and Y. Ban. Sentinel-1 Global Coverage Foreshortening Mask Extraction: An Open Source Implementation Based on Google Earth Engine. Proceedings of  IGARSS’2018, Valencia, Spain.

135.      Ban, Y., L. Webber, P. Gamba and M. Paganini. 2017. EO4Urban: Sentinel-1A SAR and Sentinel-2A MSI Data for Global Urban Services.  JURSE 2017, Dubai, UAE.

136.     Wang, W., Y. Ban, J. Zhang and J. Wan, 2017. PolSAR Image Segmentation Based on Hierarchical Region Merging and Segment Refinement with WMRD Model. Proceedings, IGARSS2017, Fort Worth, Texas, USA.

137.     Yousif., O. and Y. Ban. 2017. Fusion of SAR and Optical Data for Unsupervised Change Detection: A Case Study in Beijing.  JURSE 2017, Dubai, UAE.

138.     Yang, C., X. Ma, Y. Ban. 2016. Demonstration of intelligent transport applications using freight transport GPS data. Proceedings, the 2016 Transportation Research Board 95th Annual Meeting.

139.     Jacob A. and Y. Ban. 2015. Sentinel-1A SAR data for global urban mapping: Preliminary results. Proceedings, IGARSS’2015, Milan, Italy.

140.     Yousif, O. and Y. Ban. 2015.  Object-Based Urban Change Detection Using High Resolution SAR Images.  JURSE 2015, Lausanne, Switzerland.

141.     Jacob A. and Y. Ban. 2014. Urban land cover mapping with TerraSAR-X using an edge-aware region-growing and merging algorithm.  Proceedings, IGARSS’2014, Quebec City, Canada.

142.     Niu, X. and Y. Ban. 2012. A semisupervised contextual classification algorithm for multitemporal polarimetric SAR data. Proceedings, IGARSS’2012, Munich, Germany.

143.     Ban, Y. and Yousif, O. 2011. Unsupervised Change Detection Using Multitemporal Spaceborne SAR Data - A Case Study in Beijing.  Proceedings, Joint Urban Remote Sensing Event, JURSE 2011 161-164, Munich, Germany.

144.     Niu, X. and Ban, Y. 2011. RADARSAT-2 polarimetric SAR data for urban land cover mapping using spatial- temporal SEM algorithm and mixture models. Proceedings, Joint Urban Remote Sensing Event, JURSE 2011, 241-244, Munich, Germany.

145.     Zhang, Q. and Ban, Y.  2011. Evaluation of urban expansion and its impact on surface temperature in Beijing, China. Proceedings, Joint Urban Remote Sensing Event, JURSE 2011 357-360. Munich, Germany.

146.     Ban, Y., P. Jakobsson, L. Kjelldhal, and U. Ranhagen. 2011.  Visualization in ViSuCity, a tool for sustainable city planning.  Proceedings of SIGRAD2011 105-109.

147.     Parsanezhad, P., Ranhagen, U.,  Ban, Y. 2011. Towards an Integrated Web-based Visualization Tool - A Comparative Survey of Visualization Techniques for Enhancing Stakeholders' Participation in Planning.  Proceedings of SIGRAD 2011 61-68.

148.     Niu, X. and Y. Ban. 2010. Urban Land Cover Classification Using Multitemporal RADARSAT-2 Polarimetric SAR Data. Proceedings, ISPRS TC VII Symposium '100 Years ISPRS-Advancing Remote Sensing Science' , Vienna.

149.     Zhang, Q. and Y. Ban. 2010. Monitoring Impervious Surface Sprawl Using Tasseled Cap Transformation of Landsat Data. Proceedings, ISPRS TC VII Symposium '100 Years ISPRS-Advancing Remote Sensing Science' , Vienna.

150.     Ban. Y. and Q. Wu. 2005. “RADARSAT fine-beam SAR and GIS data for urban Landuse and land-cover mapping“, Proceedings, 8th AGILE Conference on GIScience, Estoril, Portugal.

 

Conference Papers

151.     Ban, Y., Peng Gong, Paolo Gamba, Hannes Taubenböck, and Peijun Du. 2016. Multi-temporal Multi-sensor Analysis of Urbanization and Environmental Impact in China for Sustainable Urban Development.  Proceedings, Dragon 3 Final Symposium, Wuhan, China.

152.     Ban, Y. and P. Gamba, 2016. EO4Urban: First-Year Results on Sentinel-1A SAR and Sentinel-2A MSI Data for Global Urban Services. Proceedings, ESA Living Planet Symposium, Prague.

153.     Mc Cutchan M., Y. Ban and X. Niu, 2016.  Multitemporal Sentinel-1A Data for Urban Land Cover Mapping Using Deep Learning: Preliminary Results. Proceedings, ESA Living Planet Symposium, Prague.

154.     Ban, Y., P. Gamba, A. Jacob and A. Salentinig.  2014. Multitemporal Multi-resolution SAR Data for Urbanization Mapping and Monitoring: Midterm Results. Proceedings, Dragon 3 Mid-Term Results 2014 Symposium, ESA, SP-724.

155.     Ban, Y. and H. Hu, 2013.  Multitemporal RADARSAT-1/-2 SAR for Urban Change Detection. MultiTemp2013, Calgary, Canada.

156.     Ban, Y., P. Gong, P. Gamba and P. Du. 2013. Satellite monitoring of urbanization in China for sustainable development: Final results, ESA SP, Volume 704.

157.     Jacob, A. and Y. Ban. 2013. Segmentation of multitemporal ENVISAT ASAR and HJ-1B optical data using an edge-aware region growing and merging algorithm, ESA SP, Vol. 704.

158.     Ban, Y. and X. Niu, 2013.  Multisensor SAR data for Urban Land Cover Mapping: Preliminary Results.  ESA Living Planet Symposium, Edinburgh, UK.

159.     Jacob, A. and Y. Ban, 2013.  Object-Based Urban Land Cover Mapping with TerraSAR-X: An Edge-Aware Region-Based Approach. The 35th International Symposium on Remote Sensing of Environment, Beijing, China.

160.     Liu, X. and Y. Ban, 2013.  An across-country comparison of the hierarchical spatial structures of citiesThe 4th International Conference on Earth Observations for Global Change, Toronto, Canada.

161.     Niu, X. and Y. Ban, 2013.  Feature Selection in a Contextual SEM for Urban Land Cover Mapping Using Multitemporal Polarimetric SAR Data.  The 35th International Symposium on Remote Sensing of Environment, Beijing, China.

162.     Ban, Y., P. Gong, P. Gamba, and P. Du. 2012. Satellite Monitoring of Urbanization in China for Sustainable Development: Final Results. Proceedings, Dragon 2 Final Symposium.

163.     Niu, X and Y. Ban, 2012. A semi-supervised contextual classification algorithm for multitemporal polarimetric SAR data. IGARSS 2012: 1777-1780

164.     Jacob. A. and Y. Ban. 2012. Segmentation of Multi-Temporal Envisat ASAR and HJ-1B Optical Data Using an Edge-Aware Region Growing and Merging Algorithm. Proceedings, Dragon 2 Final Symposium.

165.     Haas, J. and Y. Ban. 2012.  Remote Sensing of Bidecadal Urbanization and Its Impact on Ecosystem Service in the Yangtze River DeltaProceedings, Dragon 2 Final Symposium.

166.     Jacob. A. and Y. Ban. 2012. Fusion of Multitemporal ENVISAT ASAR and HJ-1 Data for Object-based Urban Land Cover Classification.  Proceedings, 1st International Workshop on Temporal Analysis of Satellite Images

167.     Niu, X. and Y. Ban. 2012. Urban Mapping Using Multitemporal Very High Resolution SAR Data By A Knowledge-based SEM Algorithm. Proceedings, 1st International Workshop on Temporal Analysis of Satellite Images

168.     Gamba, P., G. Lisini, Y. Ban. 2012. Improving Change Detection Using Geometrical Features. Proceedings, 1st International Workshop on Temporal Analysis of Satellite Images.  

169.     Yousif, O and Y. Ban. 2012. Multitemporal SAR Data for Urban Change Detection Using Markov Random Field: A Case Study in Shanghai. Proceedings, 1st International Workshop on Temporal Analysis of Satellite Images

170.     Ban, Y. and Niu, X. 2011. RADARSAT-2 Polarimetric SAR Data for Urban Land Cover Classification - A Multitemporal Dual-Orbit Approach. Proceedings, 31th EARSeL Symposium. Prague.

171.     Mao, B. and Y. Ban. 2011. A multiple representation data structure of 3D building textures. 19th International Conference on Geoinformatics. Shanghai, China.

172.     Ban, Y. and O. A. Yousif. 2010. Multitemporal Spaceborne SAR data for Urbanization Monitoring in China. Proceedings, ESA/MOST Dragon 2 Program Midterm Symposium, Guilin, China.

173.     Ban, Y., P. Gamba, P. Gong and P. Du. 2010. Satellite Monitoring of Urbanization in China for Sustainable Development. Proceedings, ESA Living Planet Symposium, Bergen, Norway.

174.     Vu. T. and Y. Ban, 2010. Object-based Fusion of ENVISAT ASAR and HJ-1 Multispectral Data for Urban Land Cover Mapping. Proceedings, ESA Living Planet Symposium, Norway.

175.     Gao, L. and Ban, Y. 2010. Multitemporal RADARSAT-2 Polarimetric SAR Data for Urban Land-Cover Mapping. Proceedings, the 6th International Symposium on Digital Earth: Data Processing and Applications, Beijing.

176.     Mao, B. and Y. Ban. 2010. A Dynamic Typification Method of 3D City Models using Minimum Spanning Tree. 6th international conference on Geographic Information (GIScience2010), Zurich, Switzerland.

177.     Mao, B., H. Fan, L. Harrie, Y. Ban and L. Meng. 2010. City Model Generalization Quality Assessment using Nested Structure of Earth Mover’s Distance, Proceedings, 13th Workshop of the ICA commission on Generalisation and Multiple Representation, Zurich, Switzerland.

178.     Niu, X. and Ban, Y. 2010. Multitemporal RADARSAT-2 polarimetric SAR data for urban cover classification using support vector machine. Proceedings, 30th EARSeL Symposium, 581-588, Paris, France.

179.     Rui, Y., Ban, Y. 2010. Multi-agent Simulation for Modeling Urban Sprawl in the Greater Toronto Area. 13th AGILE International Conference on Geographic Information Science.

180.     Xia, J., Du, P., Liu, P., Shan, D., Ban, Y. 2010. Quantifying spatio-temporal change of urban land cover/use and landscape pattern using BJ-1 and CBERS remote sensing images: A case study of Shanghai. Dragon 2 Mid Term Results Symposium.

181.     Xia, J., Du, P., Zhang, H., Ban, Y., Yuan, L. 2010. Monitoring urban impervious surface growth in Xuzhou using CBERS and BJ-1 Remote Sensing images. Dragon 2 Mid Term Results Symposium.

182.     Xia, J., Du, P., Ban, Y. 2010. Evaluation of spatial pattern of urban heat island and its relationship with land cover by HJ-1 remote sensing images - A case study of Shanghai City. Dragon 2 Mid Term Results Symposium.

183.     Hu, Y., Ban, Y. 2009. ALOS PolSAR Interferometry for Analysis of Wenchuan Earthquake in China. Second International Conference on Earth Observation for Global Changes.

184.     Furberg, D., Ban, Y. 2009. Satellite Monitoring and Impact Assessment of Urban Land- Cover Change in Stockholm, Sweden between 1986 and 2006. 29th Symposium of the European Association of Remote Sensing Laboratories, Chania, Greece, Imagin[e,g] Europe.

185.     Yousif, O., Ban, Y. 2009. Multitemporal Spaceborn SAR Data for Change Detection In Urban Areas - A Case Study In Shanghai. Proceedings, ISPRS Virtual Changing Globe for Visualization and Analysis.

186.     Hu, Y., Ban, Y., Zhang, Q., Liu, J. 2009. The Trajectory of Urbanization Process in the Yangtze River Delta During 1990 to 2005. Joint Urban Remote Sensing Event, 407-414, Shanghai.

187.     Zhang, Q., Ban, Y., Hu, Y., Liu, J. 2009. The Trajectories of Urban Land and Industrial Land in Shanghai over the Past 30 Years. Joint Urban Remote Sensing Event, 1022-1028, Shanghai.

188.     Lin, X., Ban, Y. 2008. On the Framework and Key Techniques of Modern GIR Systems. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.  

189.     Kolehmainen, K., Ban, Y. 2008. Multitemporal SPOT Images for Urban Land-Cover Change Detection Over Stockholm Between 1986 and 2004. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.  

190.     Gao, L., Ban, Y. 2008. Investigations of SAR Polarimetric Features on Land-Cover Classification. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.  

191.     Hu, H., Ban, Y. 2008. Urban Land-use Mapping and Change Detection with RADARSAT Fine-Beam SAR Data Using Neural Network and Rule-based Classifiers. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.  

192.     Furberg, D., Ban, Y. 2008. Satellite Monitoring of Urban Sprawl and Assessing the Impact of Land-Cover Changes in the Greater Toronto Area. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

193.     Zhang, Q., Ban, Y.  2008. Analysis of landscape dynamics in Shanghai using landscape metrics - effects of spatial resolution. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

194.     Hu, H., Ban, Y. 2008. Urban-landuse/land-cover mapping with high-resolution SAR imagery by integrating support vector machines into object-based analysis. SPIE Europe Remote Sensing Conference, Cardiff, UK.

195.     Hu, Y., Ban, Y., Zhang, Q., Zhang, X., Liu, J., Zhuang, D. 2008. Spatial-Temporal Pattern of GIMMS NDVI and Its Dynamics in Mongolian Plateau. International Workshop on Earth Observation and Remote Sensing Applications, 119-124, Beijing.

196.     Lin, X., Yu, B., Ban, Y. 2007. On Indexing Mechanism in Geographical Information Retrieval System. 10th AGILE International Conference on Geographic Information Science, Aalborg University, Denmark.

197.     Ban, Y., Ahmed, K. 2007. ENVISAT ASAR for Land Cover Mapping and Change Detection in the Rural-Urban Fringe of the Greater Toronto Area. Proceedings, 5th International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications.

198.     Ban, Y., Hu, H. 2007. RADARSAT Fine-Beam SAR Data for Land-Cover Mapping and Change Detection in the Rural-Urban Fringe of the Greater Toronto Area. Joint Urban Remote Sensing Event, Paris, France

199.     Ban, Y., Hu, H., Rangel, I. 2007. Fusion of RADARSAT fine-beam SAR and QuickBird data for land-cover mapping and change detection. Geoinformatics 2007: Remotely Sensed Data and Information, Nanjing.

200.     Ban, Y., Jian, L., Kazi, I., Ihse, M. 2006. Synergy of ENVISAT ASAR and MERIS Data for Landuse/Land-Cover Mapping, EARSeL Symposium, Warsaw, Poland.

201.     Ban, Y. 2005. ENVISAT ASAR Dual-Polarization Temporal Backscatter Profiles of Urban Land Covers. The 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS), Beijing.   

202.     Ban, Y. 2002.  “Fusion of JERS-1, RADARSAT SAR Data and Digital Elevation Model for Land Cover Mapping in the Boreal Environment”, JERS-1 SAR for Global Boreal Forest Mapping/Northern Europe (GBFM/NE) Workshop, Organized by the Swedish National Land Survey, Swedish National Space Board and the National Space Development of Japan, Feb. 7-8, Stockholm, Sweden.

203.     Ban, Y.  1999.  Multisensor SAR for CORINE land cover mapping in Sweden.  International Symposium on Digital Earth, Beijing, China during 29 Nov. - 2 Dec.

204.     Ban. Y.  1998.  Multisensor SAR for land cover mapping in Sweden: Preliminary Results.  Proceedings, ASPRS-RTI Annual Conference, Tampa, Florida, U.S.A., March 30 - April 3, American Society for Photogrammetry and Remote Sensing CDROM.

205.     Ban, Y. and P. J. Howarth.  1997.  Multitemporal spaceborne SAR data for crop classification: a sequential-masking approach.  Proceedings, International Symposium: Geoinformatics in the Era of RADARSAT (GER’97), Ottawa, Canada, May 26-30, Canadian Geomatics CDROM, Paper No. 156.

206.     Ban, Y. and P.J. Howarth.  1997.  Orbital effects on ERS-1 SAR temporal backscatter profiles of agricultural crops.  Proceedings, The 3rd ERS Symposium: Space at the Service of Our Environment, Florence, Italy, March 17-21, pp.179-183.

207.     Ban, Y.  1996.  Multi-temporal ERS-1 SAR and Landsat TM data for agricultural crop classification: an artificial neural network approach.  Proceedings, the 18th International Congress on Photogrammetry and Remote Sensing, Vol. 31, Part B7, Commission VII, Vienna, Austria, July 9-19, pp. 48-52.

208.     Ban, Y. and P.J. Howarth.  1996.  Integration of ERS-1 SAR and Landsat TM data for agricultural crop classification.  Proceedings, the 26th International Symposium on Remote Sensing of Environment / 18th Canadian Symposium on Remote Sensing, March 25-29, Vancouver, Canada, pp. 546-549.

209.     Ban, Y. and P.J. Howarth.  1995.  Application of ERS-1 temporal-spectral SAR profiles for agricultural crop identification - preliminary results.  Proceedings, 17th Canadian Symposium on Remote Sensing, Saskatoon, Saskatchewan, Canada, June 12-15, pp. 442-447.

210.     Ban, Y., P.M. Treitz and P.J. Howarth.  1993.  Improving the accuracy of synthetic aperture radar for agricultural crop classification. Proceedings, 16th Canadian Symposium on Remote Sensing, Sherbrooke, Quebec, Canada, June 7-10, pp.367-370.

211.   Ban, Y., 1989. Remote sensing analysis for urban environment background, Nanjing as an example. Proceedings, the 6th Remote Sensing Technical Interchange Conference of China (in Chinese).

212.   Liu, L., J. Wang, X. He and Y. Ban, 1989. Software package for microcomputer-based image processing and mapping. Proceedings, International Conference on Agricultural Engineering, Beijing, China.

213.   Wang, H., Y. Ban, J. Xiong and Y. Zheng, 1986. Estimation of surface water resources using remote sensing in Xingan League, Inner Mongolia. Proceedings, Fourth Remote Sensing Technical Interchange Conference of China, Beijing, China (in Chinese).

 

Recent Presentations

1.          Invited Speaker, “Earth Observation for Wildfire Pollution Estimation and Health Impact”, ESA EO4Health User Forum/Co-Creation Workshop, Jan. 15-16, 2024.

2.          Invited Speaker, “Monitoring Urban Land Use Efficiency and Green Spaces with Earth Observation Big Data and AI: Opportunities and Challenges.” UN-Habitat Expert Group Meeting on Land Use and Urban Green, Dec. 6-7, 2023.

3.          Speaker, “SAR4Wildfire: RCM SAR Time Series and Deep Learning for Wildfire Monitoring”, 2023 ASAR/RCM Users' Forum, Nov. 27-30 (online).

4.          Speaker, AI & GEE-powered insights for wildfire monitoring and biomass loss/CO2 emission estimation, 2023 Geo for Good Summit, Oct. 10-12, Google Campus.

5.          Keynote Speaker, “AI-EO4Wildfire”. ITU Virtual Workshop Fighting wildfires with AI-powered insights, April 19, 2023.

6.          Speaker, Session Organizer and Session Co-Chair, “Earth Observations Big Data and AI to Support Sustainable and Resilient Cities and Communities. UN World Data Forum 2023. April 24-27, Hangzhou, China.

7.          Invited Speaker, “EO-AI4Wildfire”. NASA/NOAA/USFS/USGS Fire Advisory Fall Meeting, Nov. 29-30, 2022.

8.          Keynote and Panellist, “EO-AI4GlobalChange”. The Digital Futures Faculty Workshop, Nov. 24, 2022.

9.          Invited Speaker, “EO-AI4Urban” at GEO Plenary 2022 Resilient Cities and GEO Initiatives, Oct. 31-Nov. 4, 2022.

10.       Invited Speaker, “EO-AI4Wildfire” at ITU/WMO/UNEP AI for Natural Disaster Management Workshop, Oct. 24-26.

11.       Speaker, EO-AI4Wildfire and EO4SDG11.3.1 Demo at 2022 Geo for Good Summit (in person), Oct. 4-6, Google Campus.

12.       Invited Speaker and Panellist, “Implementing the Harmonized Global Urban Monitoring Framework (UMF)”, and at “Training Sessions on EO4SDG Toolkit” at the 11th UN World Urban Forum, June 28-30, 2022 in Katowice, Poland, oral presentation, panel discussion, and training.

13.       Speaker, “EO-AI4GlobalChange” at the Geo for Good Lighting Talk Series #10 (virtual): Climate Action & Science, June 22, 2022, oral presentation.

14.       Ban, Y. 2022. “Earth Observation Big Data & AI for Monitoring Urban SDG Indicators”. ISPRS congress SDGs Forum, June 7, 2022, oral presentation and panel discussion (virtual).

15.       Keynote Speaker, “EO-AI4GlobalChange”, the 28th International Conference on Geoinformatics, Nov.  2021, virtual.

16.       Invited Speaker and Panelist, “EO4ResilientCities”, UN COP26 Side Event ‘Earth Observations to build sustainable and climate resilient cities and communities, Nov.  2021, virtual.

17.       Speaker, “EO-AI4Wildfire” at Google GEO for Good Virtual Summit 2021.

18.       Invited Speaker.  EO-AI4Wildfire at Google GEO for Good Seminar Series on Crisis Response, 2021.

19.       Invited Speaker and Panelist, “EO-Enabled Global Urban Observation and Information to Support SDG and NUA”, 10th UN World Urban Forum, Feb., 2020, Abu Dhabi, UAE.

20.       Invited Expert and Panelist at the UN Open GIS ‘Artificial Intelligence for Geospatial Consultation’, virtual.

21.       Y. Ban.  EO-AI for Global Environmental Change Monitoring. 2020-2021. Presented at Seminar Series of the International Space University, KTH Space Rendezvous, Digitalize Stockholm, etc.

22.       Y. Ban.  2020.  EO-AI4GlobalChange at Google GEO for Good Virtual Summit.

23.       Y. Ban, P. Zhang, X. Hu, M. Wulder, and A. Bevington. 2019. Sentinel-1 SAR Time Series for Near Real-Time Wildfire Progression Monitoring. ESA Living Planet Symposium, Milan, Italy.

24.       Y. Ban and A. Nascetti. 2019. Sentinel Big Data for Urban Change Detection in Support of 2030 Urban Sustainable Development Goal. ESA Living Planet Symposium, Milan, Italy.


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Portfolio

  • Publications