Author Ellsäßer, Florian

1 to 9 of 9 Items
  • 2023 | Journal Article | 
    ​ ​UAV-based thermography reveals spatial and temporal variability of evapotranspiration from a tropical rainforest​
    Bulusu, M.; Ellsäßer, F.; Stiegler, C. ; Ahongshangbam, J.; Marques, I.; Hendrayanto, H. & Röll, A. et al.​ (2023) 
    Frontiers in Forests and Global Change, 6.​ DOI: https://doi.org/10.3389/ffgc.2023.1232410 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Complex canopy structures control tree transpiration: A study based on 3D modelling in a tropical rainforest​
    Röll, A. ; Kang, T.; Hahn, P.; Ahongshangbam, J.; Ellsäßer, F.; Hendrayanto, H. & Sharma, P. et al.​ (2023) 
    Hydrological Processes, 37(12) art. e15045​.​ DOI: https://doi.org/10.1002/hyp.15045 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper
    ​ ​Microclimate and land surface temperature in a biodiversity enriched oil palm plantation​
    Donfack, L. S.; Röll, A. ; Ellsäßer, F.; Ehbrecht, M.; Irawan, B.; Hölscher, D.   & Knohl, A.  et al.​ (2021) 
    Forest Ecology and Management, 497 art. S0378112721005697​.​ DOI: https://doi.org/10.1016/j.foreco.2021.119480 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system​
    Donfack, L. S.; Röll, A. ; Ellsäßer, F.; Ehbrecht, M.; Irawan, B.; Hölscher, D.   & Knohl, A.  et al.​ (2021) 
    Data in Brief, 39 art. 107615​.​ DOI: https://doi.org/10.1016/j.dib.2021.107615 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation​
    Ellsäßer, F.; Stiegler, C. ; Röll, A.; June, T.; Knohl, A.   & Hölscher, D.​ (2021) 
    Biogeosciences, 18(3) pp. 861​-872​.​ DOI: https://doi.org/10.5194/bg-18-861-2021 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System—A Machine Learning Approach​
    Ellsäßer, F.; Röll, A.; Ahongshangbam, J.; Waite, P.-A.; Hendrayanto, n.; Schuldt, B. & Hölscher, D. ​ (2020) 
    Remote Sensing, 12(24) pp. 4070​.​ DOI: https://doi.org/10.3390/rs12244070 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Airborne Tree Crown Detection for Predicting Spatial Heterogeneity of Canopy Transpiration in a Tropical Rainforest​
    Ahongshangbam, J.; Röll, A. ; Ellsäßer, F.; Hendrayanto, H. & Hölscher, D. ​ (2020) 
    Remote Sensing, 12(4) pp. 651​.​ DOI: https://doi.org/10.3390/rs12040651 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Introducing QWaterModel, a QGIS plugin for predicting evapotranspiration from land surface temperatures​
    Ellsäßer, F.; Röll, A.; Stiegler, C. ; Hendrayanto, H. & Hölscher, D.​ (2020) 
    Environmental Modelling & Software, 130 pp. 104739​.​ DOI: https://doi.org/10.1016/j.envsoft.2020.104739 
    ​Details  DOI 
  • 2019 | Journal Article | Research Paper
    ​ ​Drone‐based photogrammetry‐derived crown metrics for predicting tree and oil palm water use​
    Ahongshangbam, J.; Khokthong, W.; Ellsäßer, F.; Hendrayanto, H.; Hölscher, D.   & Röll, A. ​ (2019) 
    Ecohydrology, 12(6).​ DOI: https://doi.org/10.1002/eco.2115 
    ​Details  DOI 

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Göttingen All

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