Artikel

2025
Basnet, P., Grieger, S., Putzenlechner, B., Seidel. P. (2025): Forests with high structural complexity contribute more to land surface cooling- empirical support for management for complexity. Accepted in Journal of Forestry Research

Fierke, S., Putzenlechner, B., Simon, A., Gowda, J.H., Reiter, R.J., Walentwoski, H., Kappas, M. (2025): Modelling microclimatic variability in Andean forests of northern Patagonia. International Journal of Biometeorology. https://doi.org/10.1007/s00484-025-02891-x

2024
Putzenlechner, B., Bevern, F., Koal, P., Grieger, S., Kappas, M., Koukal, T., Löw, M., Filipponi, F. (2024): Accuracy assessment of LAI, PAI and FCOVER from Sentinel-2 and GEDI for monitoring forests and their disturbance in Central Germany. European Journal of Remote Sensing 57(1). https://doi.org/10.1080/22797254.2024.2422323

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. Regional Environmental Change 24(110). https://doi.org/10.1007/s10113-024-02278-5

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.: 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

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. https://doi.org/10.1016/j.rsase.2022.100799

Putzenlechner, B., Marzahn, P., Koal, P., 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., 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

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

2018-2020
Putzenlechner, B., Marzahn, P. and 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

Putzenlechner, B., Castro, S. M., Kiese, R., Ludwig, R., Marzahn, P. and 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

Putzenlechner, B., Marzahn, P., Ludwig, R. and 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

2013-2015
Mauser, W., Klepper, G., Zabel, F., Delzeit, R., Hank, T., Putzenlechner, B. and 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

Zabel, F., Putzenlechner, B. and 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

Avellan, T., Zabel, F., Putzenlechner, B. and 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