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)

Lobert, F., Löw, J., Schwieder, M., Gocht, A. , Schlund, M., Hostert, P., & Erasmi, S. (2023). A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level. Remote sensing of environment, 298, Article 113800. Advance online publication. https://doi.org/10.1016/j.rse.2023.113800

Schlund, M., Poncet, F. V., Wessel, B., Schweisshelm, B., & Kiefl, N. (2023). Assessment of TanDEM-X DEM 2020 data in temperate and boreal forests and their application to canopy height change. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 91, 107-123. Advance online publication. https://doi.org/10.1007/s41064-023-00235-1

Schlund, M., Wenzel, A., Camarretta, N., Stiegler, C., & Erasmi, S. (2023). Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM‐X supported by GEDI data. Methods in ecology and evolution, 14(7), 1639-1656. Advance online publication. https://doi.org/10.1111/2041-210X.13933

Adiningrat, D. P. , Skidmore, A. K. , Schlund, M. , & Wang, T. (2022). Characterizing old-growth forests from multisource remote sensing. Poster session presented at ForestSAT 2022, Berlin, Germany.

Paris, C., Kotowska, M. M., Erasmi, S. , & Schlund, M. (2022). A novel approach for environmental monitoring based on the integration of multi-temporal multi-source Earth Observation data and field surveys in a spatio-temporal framework. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5897-5900). IEEE. https://doi.org/10.1109/igarss46834.2022.9884130

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. Advance online publication. https://doi.org/10.1111/gcb.16302

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), Article 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. Article 119497. Advance online publication. 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

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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.