Xiucheng Yang Remote Sensing Scientist

Publications

In Preparation / Submitted / Under Review / In Revision

  1. From Maps to Change: AlphaEarth and Time Series Analysis for Tidal Marsh Monitoring

    Yang, X.*, Li, M., Suh, J. W., Zhu, Z., Baum, J. K., Knox, S. H.

    Under review.

    Preprint Product

  2. Protected Area Expansion Fails to Mitigate Accelerating Tidal Marsh Loss in Canada

    Yang, X.*, McHenry, J., Zhu, Z., Murray, N. J., Li, M., Valenti, V., Park, A., Qiu, S., Kroeger, K. D., O'Connor, M., Baum, J. K.+, Knox, S. H.+

    Nature Sustainability. In revision.

    Product

  3. Tracking US Tidal Marsh Condition and Disturbance with Landsat Time Series

    Yang, X.*, Knox, S. H., Qiu, S., Kroeger, K., Zhu, Z. L., Covington, S., Zhu, Z.*

    Remote Sensing of Environment. In revision.

    Product

  4. Seesaw of Saltwater and Inundation Drives Methane Emissions in Coastal Tidal Wetlands

    Cai, X.*, Yang, X., Raymond, P.

    Science Advances. In revision.

    Preprint

  5. Rapid road expansion drives a recent surge in Himalayan landsliding

    Jiang, Y., He, S., Yang, X., Chang, J., Tian, F., Zhao, H., Yu, W., Shi, Z., Ye, S.*

    Nature Communications. Under review.

  6. On-orbit change detection for remote sensing applications: Opportunities and challenges

    Ye, S.*, Tao, Y., Yang, X.*

    ITU Journal on Future and Evolving Technologies. In revision.

  7. Evaluating the Blue Carbon Benefits of Aligning Canada's Biodiversity Conservation and Climate Change Mitigation Targets

    McHenry, J.*, Epstein, G., ..., Yang, X., Baum, J. K.

    Submitted.

Published (Google Scholar)

  1. Fmask 5: Physics-Informed Machine Learning for Cloud Detection in Landsat and Sentinel-2 Imagery

    Qiu, S.*, Zhu, Z.*, Yang, X., Ju, J., Zhou, Q., Neigh, C.

    Remote Sensing of Environment. Accepted.

  2. Physiological Fidelity of a Satellite-derived Forest Resilience Indicator in the Amazon

    Song, K.*, Knighton, J., Qiu, S., Yang, X., Suh, J. W., Tavares, J. V., Liu, Y., Tai, X., Fahey, R., Neigh, C. S. R., Callahan, R., Hong, F., Li, T., Grinstead, A., Ren, W., Witharana, C., Hedges, S. B., Yang, Z., Leite, R. V., Bittencourt, P. R. L., Zhu, Z.*

    Nature Ecology & Evolution, 2026.

  3. The Accelerating Loss and Shifting Dynamics of US Tidal Wetlands

    Yang, X.*, Qiu, S., Kroeger, K. D., Zhu, Z. L., Covington, S., Murray, N. J., Zhu, Z.*

    Nature Communications, 2026.

  4. Satellite Imagery Reveals Increasing Volatility in Human Night-time Activity

    Li, T.*, Wang, Z., Kyba, C. C. M., Román, M. O., Seto, K. C., Yang, Y., Qiu, S., Kuester, T., Fragkias, M., Chen, X., Meyer, T. H., Rittenhouse, C. D., Tai, X., Cullerton, M., Hong, F., Grinstead, A., Song, K., Suh, J. W., Yang, X., Kalb, V. L., Deng, C., Zhu, Z.*

    Nature, 2026.

  5. A shift from human-directed to undirected wild land disturbances in the USA

    Qiu, S.*, Zhu, Z.*, Yang, X., Woodcock, C. E., Fahey, R. T., Stehman, S., Zhang, Y., Cullerton, M., Grinstead, A., Hong, F., Song, K., Suh, J. W., Li, T., Ren, W., Nemani, R. R.

    Nature Geoscience, 2025.

  6. NAAC: A Seamless Two-Decade Cross-scale Simulation from the North American Atlantic Coast to Tidal Wetlands Based on the 3D Unstructured-grid Model SCHISM

    Cai, X.*, Qin, Q.*, Cui, L., Yang, X., Zhang, Y. J., Shen, J.

    Geoscientific Model Development, 2025.

  7. Tracking Mangrove Condition Changes Using Dense Landsat Time Series

    Yang, X.*, Zhu, Z., Kroeger, K. D., Qiu, S., Covington, S., Conrad, J. R., Zhu, Z.

    Remote Sensing of Environment, 2024.

  8. Mapping Understory Plant Communities in Deciduous Forests from Sentinel-2 Time Series

    Yang, X.*, Qiu, S., Zhu, Z., Rittenhouse, C., Riordan, D., Cullerton, M.

    Remote Sensing of Environment, 2023.

  9. Detection and Characterization of Coastal Tidal Wetland Change in the Northeastern US Using Landsat Time Series

    Yang, X.*, Zhu, Z., Qiu, S., Kroeger, K., Zhu, Z., Covington, S.

    Remote Sensing of Environment, 2022.

  10. Near-real-time Monitoring of Land Disturbance with Harmonized Landsat 7-8 and Sentinel-2 Data

    Shang, R.*, Zhu, Z., Zhang, J., Qiu, S., Yang, Z., Li, T., Yang, X.

    Remote Sensing of Environment, 2022.

  11. Monthly Estimation of the Surface Water Extent in Metropolitan France at a 10-m Resolution Using Sentinel-2 Data

    Yang, X.*, Qin, Q., Yesou, H., Ledauphin, T., Koehl, M., Grussenmeyer, P., Zhu, Z.

    Remote Sensing of Environment, 2020.

  12. Review of Built Heritage Modelling with Integration of Existing Information Techniques

    Yang, X.*, Grussenmeyer, P., Koehl, M., Macher, H., Murtiyoso, A., Landes, T.

    Journal of Cultural Heritage, 2020.

  13. Combined Use of Sentinel-2 and Landsat 8 to Monitor Water Surface Area Dynamics Using Google Earth Engine

    Yang, X.*, Chen, Y., Wang, J.

    Remote Sensing Letters, 2020.

  14. HBIM Modelling from the Mesh Surface and Its Extended Capability of Knowledge Representation

    Yang, X.*, Lu, Y., Murtiyoso, A., Koehl, M., Grussenmeyer, P.

    ISPRS International Journal of Geo-Information, 2019.

  15. Potential of Sentinel-2 Data for Alteration Extraction in Coal-bed Methane Reservoirs

    Chen, L.*, Yang, X., Zhen, G.

    Ore Geology Reviews, 2019.

  16. Urban Surface Water Body Detection with Suppressed Built-up Noise Based on Water Indices from Sentinel-2 MSI Imagery

    Yang, X.*, Qin, Q., Grussenmeyer, P., Koehl, M.

    Remote Sensing of Environment, 2018.

  17. Applying Independent Component Analysis on Sentinel-2 Imagery to Characterize Geomorphological Responses to an Extreme Flood Event

    Li, J.*, Yang, X., Maffei, C., Tooth, S., Yao, G.*

    Remote Sensing, 2018.

  18. Accurate Outline Extraction of Individual Building from Very High-Resolution Optical Images

    Qin, X.*, He, S., Yang, X., Dehghan, M., Qin, Q., Jagersand, M.

    IEEE Geoscience and Remote Sensing Letters, 2018.

  19. Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning

    Chen, Y., Fan, R.*, Yang, X., Wang, J., Latif, A.

    Water, 2018.

  20. Multilevel Cloud Detection for High-Resolution Remote Sensing Imagery Using Multiple Convolutional Neural Networks

    Chen, Y., Li, W., Bilal, M., Yang, X., Fan, R.*, Wang, J.

    ISPRS International Journal of Geo-Information, 2018.

  21. Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-based Image Sharpening

    Yang, X.*, Zhao, S., Qin, X., Zhao, N., Liang, L.

    Remote Sensing, 2017.

  22. Evaluation of Automated Urban Surface Water Extraction from Sentinel-2A Imagery Using Different Water Indices

    Yang, X., Chen, L.*

    Journal of Applied Remote Sensing, 2017.

  23. Fast Urban Aerial Image Matching Based on Rectangular Building Extraction

    Yang, X., Wang, J., Qin, X., Wang, J., Ye, X., Qin, Q.*

    IEEE Geoscience and Remote Sensing Magazine, 2015.

  24. Building Facade Recognition Using Oblique Aerial Images

    Yang, X., Qin, X., Wang, J., Wang, J., Ye, X., Qin, Q.*

    Remote Sensing, 2015.

  25. An Efficient Approach for Automatic Rectangular Building Extraction from Very High-Resolution Optical Satellite Imagery

    Wang, J., Yang, X., Qin, X., Ye, X., Qin, Q.*

    IEEE Geoscience and Remote Sensing Letters, 2015.

  26. Extraction of Bridges over Water from High-Resolution Optical Remote-Sensing Images Based on Mathematical Morphology

    Chen, C., Qin, Q.*, Zhang, N., Li, J., Chen, L., Wang, J., Qin, X., Yang, X.

    International Journal of Remote Sensing, 2014.