Martin Stefan Brandt

Martin Stefan Brandt

Associate Professor


  1. 2022
  2. Published

    The Carbon Sink Potential of Southern China After Two Decades of Afforestation

    Zhang, X. M., Brandt, Martin Stefan, Yue, Y. M., Tong, Xiaowei, Wang, K. L. & Fensholt, Rasmus, 2022, In: Earth's Future. 10, 12, 13 p., e2022EF002674.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    The carbon sink potential of southern China after two decades ofafforestation

    Zhang, X., Brandt, Martin Stefan, Yue, Y., Tong, Xiaowei, Wang, K. & Fensholt, Rasmus, 2022, 21 p. (Earth's Future).

    Research output: Working paperPreprintResearch

  4. Published

    UNSUPERVISED SEGMENTATION OF SMALLHOLDER FIELDS IN MOZAMBIQUE USING PLANETSCOPE IMAGERY

    Picoli, M. C. A., Radoux, J., Tong, Xiaoye, Bey, A., Rufin, P., Brandt, Martin Stefan, Fensholt, Rasmus & Meyfroidt, P., 2022, In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 43, B3-2022, p. 975-981 7 p.

    Research output: Contribution to journalConference articleResearchpeer-review

  5. Published

    Woody plant decline in the Sahel of western Niger (1996–2017):is it driven by climate or land use changes?

    Hiernaux, P., Adamou Kalilou, A., Kergoat, L., Brandt, Martin Stefan, Mougin, E. & Fitts, Y., May 2022, In: Journal of Arid Environments. 200, 12 p., 104719.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 2023
  7. Published

    Beyond tree cover: Characterizing southern China's forests using deep learning

    Li, Q., Yue, Y., Liu, Siyu, Brandt, Martin Stefan, Chen, Z., Tong, Xiaowei, Wang, K., Chang, J. & Fensholt, Rasmus, 2023, In: Remote Sensing in Ecology and Conservation. 9, 1, p. 17-32

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

    Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Deep learning for mapping water bodies in the Sahel 

    de FLEURY, M., Kergoat, L., Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Kovács, Gyula Mate, Horion, Stéphanie & Grippa, M., 2023. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  10. Published

    FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach

    Schwartz, M., Ciais, P., De Truchis, A., Chave, J., Ottlé, C., Vega, C., Wigneron, J., Nicolas, M., Jouaber, S., Liu, Siyu, Brandt, Martin Stefan & Fayad, I., 2023, In: Earth System Science Data. 15, 11, p. 4927-4945 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    Forest Plan - pilot project on mapping of forest resources

    Nord-Larsen, Thomas, Tsatsakis, M., Li, Sizhuo, Avila, Linsey Marie, Brandt, Martin Stefan, Liu, Siyu, Morueta-Holme, Naia, Davison, Charles W. & Fensholt, Rasmus, 2023, Copenhagen: Department of Geosciences and Natural Resource Management, University of Copenhagen. 128 p. (IGN Report; No. March 2023).

    Research output: Book/ReportReportCommissionedpeer-review

  12. Published

    Global increase in biomass carbon stock dominated by growth of northern young forests over past decade

    Yang, H., Ciais, P., Frappart, F., Li, X., Brandt, Martin Stefan, Fensholt, Rasmus, Fan, L., Saatchi, S., Besnard, S., Deng, Z., Bowring, S. & Wigneron, J. P., 2023, In: Nature Geoscience. 16, 10, p. 886-892

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 129616635