dr. M. Schlund (Michael)

Earth & Environmental Sciences

# Aboveground Biomass
# Canopy
# Swamp Forest
# Synthetic Aperture Radar
# Tandem-X
# Temperate Forest
# Tropical Forest

Agriculture & Biology

# Synthetic Aperture Radar

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS)

Jucker, T., Fischer, F. J., Chave, J., Coomes, D. A., Caspersen, J., Ali, A., Loubota Panzou, G. J., Feldpausch, T. R., Falster, D., Usoltsev, V. A., Adu-Bredu, S., Alves, L. F., Aminpour, M., Angoboy, I. B., Anten, N. P. R., Antin, C., Askari, Y., Muñoz, R., Ayyappan, N., ... Zavala, M. A. (2022). Tallo: A global tree allometry and crown architecture database. Global change biology, 28(17), 5254-5268. https://doi.org/10.1111/gcb.16302

Schlund, M., Wenzel, A., Camarretta, N., Stiegler, C., & Erasmi, S. (2022). Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM‐X supported by GEDI data. Methods in ecology and evolution, 1-18. https://doi.org/10.1111/2041-210X.13933

Camarretta, N., Ehbrecht, M., Seidel, D., Wenzel, A., Zuhdi, M., Merk, M. S. , Schlund, M., Erasmi, S., & Knohl, A. (2021). Using airborne laser scanning to characterize land-use systems in a tropical landscape based on vegetation structural metrics. Remote sensing, 13(23), [4794]. https://doi.org/10.3390/rs13234794

Schlund, M., Lobert, F., & Erasmi, S. (2021). Potential of Sentinel-1 time series data for the estimation of season length in winter wheat phenology. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 5917-5920). IEEE. https://doi.org/10.1109/igarss47720.2021.9554454

Schlund, M., Kotowska, M. M., Brambach, F., Hein, J., Wessel, B., Camarretta, N., Silalahi, M., Surati Jaya, I. N., Erasmi, S., Leuschner, C., & Kreft, H. (2021). Spaceborne height models reveal above ground biomass changes in tropical landscapes. Forest ecology and management, 497, 1-13. [119497]. https://doi.org/10.1016/j.foreco.2021.119497

Schlund, M., Kukunda, C. B., Baumann, S., Wessel, B., Kiefl, N., & Poncet, F. V. (2021). Potential of forest monitoring with multi-temporal TANDEM-X height models. In 2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 308-311). (IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)). IEEE. https://doi.org/10.1109/igarss39084.2020.9323862

Schlund, M., & Boehm, H. -D. V. (2021). Assessment of linear relationships between TanDEM-X coherence and canopy height as well as aboveground biomass in tropical forests. International journal of remote sensing, 42(9), 3409-3429. https://doi.org/10.1080/01431161.2020.1871101

Loubota Panzou, G. J., Fayolle, A., Jucker, T., Phillips, O. L., Bohlman, S., Banin, L. F., Lewis, S. L., Affum-Baffoe, K., Alves, L. F., Antin, C., Arets, E., Arroyo, L., Baker, T. R., Barbier, N., Beeckman, H., Berger, U., Bocko, Y. E., Bongers, F., Bowers, S., ... Feldpausch, T. R. (2021). Pantropical variability in tree crown allometry. Global ecology and biogeography, 30(2), 459-475. https://doi.org/10.1111/geb.13231

Schlund, M., Erasmi, S., & Scipal, K. (2020). Comparison of aboveground biomass estimation from InSAR and LiDAR canopy height models in tropical forests. IEEE geoscience and remote sensing letters, 17(3), 367-371. [8764606]. https://doi.org/10.1109/LGRS.2019.2925901

Schlund, M., & Erasmi, S. (2020). Sentinel-1 time series data for monitoring the phenology of winter wheat. Remote sensing of environment, 246, 1-10. [111814]. https://doi.org/10.1016/j.rse.2020.111814

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Master

Geo-Information Science and Earth Observation

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.