Search Results - "Meyer, Hanna"

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  1. 1

    Machine learning-based global maps of ecological variables and the challenge of assessing them by Meyer, Hanna, Pebesma, Edzer

    Published in Nature communications (22-04-2022)
    “…The recent wave of published global maps of ecological variables has caused as much excitement as it has received criticism. Here we look into the data and…”
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    Journal Article
  2. 2

    Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy by Meyer, Nele, Meyer, Hanna, Welp, Gerhard, Amelung, Wulf

    Published in Geoderma (01-08-2018)
    “…Spatial patterns of soil respiration (SR) and its sensitivity to temperature (Q10) are one of the key uncertainties in climate change research but since their…”
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  3. 3

    Hyperspectral Data Analysis in R : The hsdar Package by Lehnert, Lukas W., Meyer, Hanna, Obermeier, Wolfgang A., Silva, Brenner, Regeling, Bianca, Bendix, Jörg

    Published in Journal of statistical software (01-05-2019)
    “…Hyperspectral remote sensing is a promising tool for a variety of applications including ecology, geology, analytical chemistry and medical research. This…”
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  4. 4

    High-resolution soil temperature and soil moisture patterns in space, depth and time: An interpretable machine learning modelling approach by Baumberger, Maiken, Haas, Bettina, Sivakumar, Sindhu, Ludwig, Marvin, Meyer, Nele, Meyer, Hanna

    Published in Geoderma (01-11-2024)
    “…Soil temperature and soil moisture are key drivers of various soil ecological processes, which implies a significant importance of datasets including their…”
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  5. 5

    Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index by Ziegler, Alice, Heisig, Johannes, Ludwig, Marvin, Reudenbach, Chris, Meyer, Hanna, Nauss, Thomas

    Published in Environmental research letters (01-07-2023)
    “…Abstract Leaf or plant area index (LAI, PAI) information is frequently used to describe vegetation structure in environmental science. While field measurements…”
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  6. 6

    A Machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data by Lezama Valdes, Lilian-Maite, Katurji, Marwan, Meyer, Hanna

    Published in Remote sensing (Basel, Switzerland) (01-11-2021)
    “…To monitor environmental and biological processes, Land Surface Temperature (LST) is a central variable, which is highly variable in space and time. This…”
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  7. 7

    Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature by Nielsen, Eva Bendix, Katurji, Marwan, Zawar-Reza, Peyman, Meyer, Hanna

    Published in Scientific data (27-11-2023)
    “…Knowledge about local air temperature variations and extremes in Antarctica is of large interest to many polar disciplines such as climatology, glaciology,…”
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  8. 8

    Mapping Daily Air Temperature for Antarctica Based on MODIS LST by Meyer, Hanna, Katurji, Marwan, Appelhans, Tim, Mueller, Markus U, Nauss, Thomas, Roudier, Pierre, Zawar-Reza, Peyman

    Published in Remote sensing (Basel, Switzerland) (01-09-2016)
    “…Spatial predictions of near-surface air temperature ( T a i r ) in Antarctica are required as baseline information for a variety of research disciplines. Since…”
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    Journal Article
  9. 9

    Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data by Kleinewillinghöfer, Luca, Olofsson, Pontus, Pebesma, Edzer, Meyer, Hanna, Buck, Oliver, Haub, Carsten, Eiselt, Beatrice

    Published in Remote sensing (Basel, Switzerland) (01-10-2022)
    “…Land cover area estimates can be derived via design-based approaches using a probability (random) reference sample. The collection of samples is usually costly…”
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    Predicting into unknown space? Estimating the area of applicability of spatial prediction models by Meyer, Hanna, Pebesma, Edzer

    Published in Methods in ecology and evolution (01-09-2021)
    “…Machine learning algorithms have become very popular for spatial mapping of the environment due to their ability to fit nonlinear and complex relationships…”
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    High Throughput FISH Screening Identifies Small Molecules That Modulate Oncogenic lncRNA MALAT1 via GSK3B and hnRNPs by Zablowsky, Nina, Farack, Lydia, Rofall, Sven, Kramer, Jan, Meyer, Hanna, Nguyen, Duy, Ulrich, Alexander K C, Bader, Benjamin, Steigemann, Patrick

    Published in Non-coding RNA (03-01-2023)
    “…Traditionally, small molecule-based drug discovery has mainly focused on proteins as the drug target. Opening RNA as an additional target space for small…”
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  15. 15

    A time resolved metabolomics study: the influence of different carbon sources during growth and starvation of Bacillus subtilis by Meyer, Hanna, Weidmann, Hendrikje, Mäder, Ulrike, Hecker, Michael, Völker, Uwe, Lalk, Michael

    Published in Molecular bioSystems (01-01-2014)
    “…In its natural environment, the soil, the Gram-positive model bacterium Bacillus subtilis frequently encounters nutrient limitation and other stress factors…”
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  16. 16

    Biomechanical Properties of a Novel Biodegradable Magnesium-Based Interference Screw by Ezechieli, Marco, Meyer, Hanna, Lucas, Arne, Helmecke, Patrick, Becher, Christoph, Calliess, Tilman, Windhagen, Henning, Ettinger, Max

    Published in Orthopedic Reviews (27-06-2016)
    “…Magnesium-based interference screws may be an alternative in anterior/posterior cruciate ligament reconstruction. The well-known osteoconductive effects of…”
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  17. 17

    Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction by Meyer, Hanna, Reudenbach, Christoph, Wöllauer, Stephan, Nauss, Thomas

    Published in Ecological modelling (01-11-2019)
    “…[Display omitted] •Spatial cross-validation is crucial for reliable error estimates of predictions.•Geolocation as predictor variable can lead to overfitting…”
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  18. 18

    Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation by Meyer, Hanna, Reudenbach, Christoph, Hengl, Tomislav, Katurji, Marwan, Nauss, Thomas

    “…Importance of target-oriented validation strategies for spatio-temporal prediction models is illustrated using two case studies: (1) modelling of air…”
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  19. 19

    Nearest neighbour distance matching Leave‐One‐Out Cross‐Validation for map validation by Milà, Carles, Mateu, Jorge, Pebesma, Edzer, Meyer, Hanna

    Published in Methods in ecology and evolution (01-06-2022)
    “…Several spatial and non‐spatial Cross‐Validation (CV) methods have been used to perform map validation when additional sampling for validation purposes is not…”
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  20. 20

    Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals by Meyer, Hanna, Kühnlein, Meike, Appelhans, Tim, Nauss, Thomas

    Published in Atmospheric research (01-03-2016)
    “…Machine learning (ML) algorithms have successfully been demonstrated to be valuable tools in satellite-based rainfall retrievals which show the practicability…”
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