Publikationen




ARTIKEL
2024
Simon, A., Fierke, J., Reiter, E., Loguercio, G., Heinrichs, S., Putzenlechner, B., Joelson, N., Walentwoski, H. (2024): The interior climate and its microclimatic variation of temperate forests in northern Patagonia, Argentina. International Journal of Biometeorology. https://doi.org/10.1007/s00484-024-02617-5

2023
Putzenlechner, B., Koal, P., Kappas, M., Löw, M., Mundhenk, P., Tischer, A., Wernicke, J. and Koukal, T. (2023): Towards precision forestry: drought response from remote sensing-based disturbance monitoring and fine-scale soil information in Central Europe. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2023.163114

Fierke, J., Joelsen, N. Z., Loguercio, G., Putzenlechner, B., Simon, A., Wyss, D., Kappas, M., Walentowski, H.: Assessing regional uncertainties of high-resolution climate datasets through a projection of future bioclimates in the Andes of northern Patagonia. under review

2022
Chand, D., Berg, L. K., Tagestad, J., Putzenlechner, B., Yang, Z., Tai, S., Fast, J. D. (2022). Fine Scale Variability in Green Vegetation Fraction Over the Southern Great Plains Using Sentinel-2 Satellite: A Case Study. Remote Sensing Applications: Society and Environment 27(100799). https://doi.org/10.1016/j.rsase.2022.100799

Putzenlechner, B., Marzahn, P., Koal, P. and Sanchez-Azofeifa, A. (2022). Fractional vegetation cover derived from UAV and Sentinel-2 imagery as a proxy for in situ FAPAR in a dense mixed-coniferous forest? Remote Sensing 14(2): 380. https://doi.org/10.3390/rs14020380

Xue, L., Kappas, M., Wyss, D., Putzenlechner, B. (2022): Assessing the Drought Variability in Northeast China over Multiple Temporal and Spatial Scales. Atmosphere 13(9). https://doi.org/10.3390/atmos13091506

Xue, L., Kappas, M., Wyss, D., Wang, C., Putzenlechner, B., Thi, N. P., Chen, J. (2022). Assessment of Climate Change and Human Activities on Vegetation Development in Northeast China. Sensors 22(7) https://doi.org/10.3390/s22072509

2020
Putzenlechner, B., Marzahn, P., Sanchez-Azofeifa, A. (2020). Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR. International Journal of Applied Earth Observation and Geoinformation 88(C): 102061. https://doi.org/10.1016/j.jag.2020.102061

2019
Putzenlechner, B., Castro, S. M., Kiese, R., Ludwig, R., Marzahn, P., Sanchez-Azofeifa, A. (2019): Validation of Sentinel-2 fAPAR products using ground observations across three forest ecosystems.
Remote Sensing of Environment 232(C): 111310. https://doi.org/10.1016/j.rse.2019.111310

2018
Putzenlechner, B., Marzahn, P., Ludwig, R., Sanchez-Azofeifa, A. (2018): Assessing the variability and uncertainty of two-flux FAPAR measurements in a conifer-dominated forest. Agricultural and Forest Meteorology 264:149-163. https://doi.org/10.1016/j.agrformet.2018.10.007

2015
Mauser, W., Klepper, G., Zabel, F., Delzeit, R., Hank, T., Putzenlechner, B., Calzadilla, A. (2015): Global biomass production potentials exceed expected future demand without the need for cropland expansion. Nature Communications, 6: 8946. https://www.nature.com/articles/ncomms9946

2014
Zabel, F., Putzenlechner, B., Mauser, W. (2014): Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions. PLoS ONE 9(12): e114980.
https://doi.org/10.1371/journal.pone.0107522

2013
Avellan, T., Zabel, F., Putzenlechner, B., Mauser, W. (2013): A Comparison of Using Dominant Soil and Weighted Average of the Component Soils in Determining Global Crop Growth Suitability. International Journal of Environment and Pollution 2(3):40-51. https://doi.org/10.5539/ep.v2n3p40

DATENSÄTZE
Jackisch, R., Putzenlechner, B.; Dietze, E. (2022): UAV data of post fire dynamics, Quesenbank, Harz, 2022 (orthomosaics, topography, point clouds). https://zenodo.org/record/7554598#.ZAC_WYSZOUk