| Tree islands enhance biodiversity and functioning in oil palm landscapes DC Zemp, N Guerrero-Ramirez, F Brambach, K Darras, I Grass, ... Nature 618 (7964), 316-321, 2023 | 38 | 2023 |
| Introducing QWaterModel, a QGIS plugin for predicting evapotranspiration from land surface temperatures F Ellsäßer, A Röll, C Stiegler, D Hölscher Environmental Modelling & Software 130, 104739, 2020 | 33 | 2020 |
| The extremely hot and dry 2018 summer in central and northern Europe from a multi-faceted weather and climate perspective E Rousi, AH Fink, LS Andersen, FN Becker, G Beobide-Arsuaga, M Breil, ... Natural Hazards and Earth System Sciences 23 (5), 1699-1718, 2023 | 23 | 2023 |
| Predicting tree sap flux and stomatal conductance from drone-recorded surface temperatures in a mixed agroforestry system—a machine learning approach F Ellsäßer, A Röll, J Ahongshangbam, PA Waite, B Schuldt, D Hölscher Remote Sensing 12 (24), 4070, 2020 | 23* | 2020 |
| Drone‐based photogrammetry‐derived crown metrics for predicting tree and oil palm water use J Ahongshangbam, W Khokthong, F Ellsäßer, H Hendrayanto, D Hölscher, ... Ecohydrology 12 (6), e2115, 2019 | 20 | 2019 |
| Microclimate and land surface temperature in a biodiversity enriched oil palm plantation LS Donfack, A Röll, F Ellsäßer, M Ehbrecht, B Irawan, D Hölscher, ... Forest Ecology and Management 497, 119480, 2021 | 19 | 2021 |
| Airborne tree crown detection for predicting spatial heterogeneity of canopy transpiration in a tropical rainforest J Ahongshangbam, A Röll, F Ellsäßer, Hendrayanto, D Hoelscher Remote Sensing 12 (4), 651, 2020 | 14 | 2020 |
| Predicting evapotranspiration from drone-based thermography–a method comparison in a tropical oil palm plantation F Ellsäßer, C Stiegler, A Röll, T June, A Knohl, D Hölscher Biogeosciences 18 (3), 861-872, 2021 | 10 | 2021 |
| Hendrayanto,; Schuldt, B.; Hölscher, D. Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System—A Machine … F Ellsäßer, A Röll, J Ahongshangbam, PA Waite Remote Sens 12, 4070, 2020 | 5 | 2020 |
| The extremely hot and dry 2018 summer in central and northern Europe from a multi-faceted weather and climate perspective E Rousi, AH Fink, LS Andersen, FN Becker, G Beobide-Arsuaga, M Breil, ... EGUsphere 2022, 1-37, 2022 | 4 | 2022 |
| Predicting evapotranspiration from drone-based thermography–a method comparison in a tropical oil palm plantation F Ellsäßer, C Stiegler, A Röll, T June, Hendrayanto, A Knohl, D Hölscher Biogeosciences Discussions 2020, 1-37, 2020 | 4 | 2020 |
| Compound events in Germany in 2018: drivers and case studies E Xoplaki, F Ellsäßer, J Grieger, K Nissen, JG Pinto, M Augenstein, ... | 3 | 2023 |
| UAV-based thermography reveals spatial and temporal variability of evapotranspiration from a tropical rainforest M Bulusu, F Ellsäßer, C Stiegler, J Ahongshangbam, I Marques, ... Frontiers in Forests and Global Change 6, 1232410, 2023 | 2 | 2023 |
| Combining UAV thermography, point cloud analysis and machine learning for assessing small‐scale evapotranspiration patterns in a tropical rainforest Á Cortés‐Molino, A Valdés‐Uribe, F Ellsäßer, M Bulusu, ... Ecohydrology 17 (1), e2604, 2024 | 1 | 2024 |
| Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system LS Donfack, A Röll, F Ellsäßer, M Ehbrecht, B Irawan, D Hölscher, ... Data in Brief 39, 107615, 2021 | 1 | 2021 |
| Complex canopy structures control tree transpiration: A study based on 3D modelling in a tropical rainforest A Röll, T Kang, P Hahn, J Ahongshangbam, F Ellsäßer, Hendrayanto, ... Hydrological Processes 37 (12), e15045, 2023 | | 2023 |
| Combining UAV thermography, point cloud analysis and machine learning for assessing small-scale evapotranspiration patterns in a tropical rainforest A Valdés-Uribe, F Ellsäßer, A Röll | | 2023 |
| cropdata–supplementary data (for spatial yield productivity data base for the ten most cultivated crops in Germany from 1989 to 2020)-version 1.0 F Ellsäßer | | 2022 |
| cropdata–yield anomaly catalogue for the ten most cultivated crops in Germany from 1989 to 2020-version 1.0 F Ellsäßer | | 2022 |
| cropdata–spatial yield productivity data base for the ten most cultivated crops in Germany from 1989 to 2020-version 1.0 F Ellsäßer | | 2022 |
Alexander RöllHorticultural Sciences - Institute for Crop Science and Resource Conservation, University of Bonn在 uni-bonn.de 的电子邮件经过验证
