Hasil Pencarian - Thomas Udelhoven

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  1. 1
    Field Geometry and the Spatial and Temporal Generalization of Crop Classification Algorithms—A Randomized Approach to Compare Pixel Based and Convolution Based Methods

    Field Geometry and the Spatial and Temporal Generalization of Crop Classification Algorithms—A Randomized Approach to Compare Pixel Based and Convolution Based Methods oleh Mario Gilcher, Thomas Udelhoven

    Diterbitkan 2021-02-01
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  2. 2
    A Review of Hybrid Approaches for Quantitative Assessment of Crop Traits Using Optical Remote Sensing: Research Trends and Future Directions

    A Review of Hybrid Approaches for Quantitative Assessment of Crop Traits Using Optical Remote Sensing: Research Trends and Future Directions oleh Asmaa Abdelbaki, Thomas Udelhoven

    Diterbitkan 2022-07-01
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  3. 3
    ALS as Tool to Study Preferred Stem Inclination Directions

    ALS as Tool to Study Preferred Stem Inclination Directions oleh Sebastian Lamprecht, Johannes Stoffels, Thomas Udelhoven

    Diterbitkan 2020-11-01
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  4. 4
    Flight Attitude Estimation with Radar for Remote Sensing Applications

    Flight Attitude Estimation with Radar for Remote Sensing Applications oleh Christoph Weber, Marius Eggert, Thomas Udelhoven

    Diterbitkan 2024-07-01
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  5. 5
    Introduction of Variable Correlation for the Improved Retrieval of Crop Traits Using Canopy Reflectance Model Inversion

    Introduction of Variable Correlation for the Improved Retrieval of Crop Traits Using Canopy Reflectance Model Inversion oleh Asmaa Abdelbaki, Martin Schlerf, Wout Verhoef, Thomas Udelhoven

    Diterbitkan 2019-11-01
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  6. 6
    Implications of Bioenergy Cropping for Soil: Remote Sensing Identification of Silage Maize Cultivation and Risk Assessment Concerning Soil Erosion and Compaction

    Implications of Bioenergy Cropping for Soil: Remote Sensing Identification of Silage Maize Cultivation and Risk Assessment Concerning Soil Erosion and Compaction oleh Thorsten Ruf, Mario Gilcher, Thomas Udelhoven, Christoph Emmerling

    Diterbitkan 2021-01-01
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  7. 7
    Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection

    Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection oleh David Frantz, Achim Röder, Thomas Udelhoven, Michael Schmidt

    Diterbitkan 2016-03-01
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  8. 8
    Place-Based Analysis of Satellite Time Series Shows Opposing Land Change Patterns in the Copperbelt Region of Zambia

    Place-Based Analysis of Satellite Time Series Shows Opposing Land Change Patterns in the Copperbelt Region of Zambia oleh Sana Munawar, Achim Röder, Stephen Syampungani, Thomas Udelhoven

    Diterbitkan 2022-01-01
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  9. 9
    Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review

    Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review oleh Max Gerhards, Martin Schlerf, Kaniska Mallick, Thomas Udelhoven

    Diterbitkan 2019-05-01
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  10. 10
    A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data

    A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data oleh Sebastian Lamprecht, Andreas Hill, Johannes Stoffels, Thomas Udelhoven

    Diterbitkan 2017-05-01
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  11. 11
    An Empirical Assessment of Angular Dependency for RedEdge-M in Sloped Terrain Viticulture

    An Empirical Assessment of Angular Dependency for RedEdge-M in Sloped Terrain Viticulture oleh Chizhang Gong, Henning Buddenbaum, Rebecca Retzlaff, Thomas Udelhoven

    Diterbitkan 2019-10-01
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  12. 12
    Remote Sensing Based Binary Classification of Maize. Dealing with Residual Autocorrelation in Sparse Sample Situations

    Remote Sensing Based Binary Classification of Maize. Dealing with Residual Autocorrelation in Sparse Sample Situations oleh Mario Gilcher, Thorsten Ruf, Christoph Emmerling, Thomas Udelhoven

    Diterbitkan 2019-09-01
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  13. 13
    Erratum: A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data. Remote Sens. 2017, 9, 505

    Erratum: A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data. Remote Sens. 2017, 9, 505 oleh Sebastian Lamprecht, Andreas Hill, Johannes Stoffels, Thomas Udelhoven

    Diterbitkan 2017-07-01
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  14. 14
    Transforming 2D Radar Remote Sensor Information from a UAV into a 3D World-View

    Transforming 2D Radar Remote Sensor Information from a UAV into a 3D World-View oleh Christoph Weber, Marius Eggert, Jesús Rodrigo-Comino, Thomas Udelhoven

    Diterbitkan 2022-03-01
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  15. 15
    How Normalized Difference Vegetation Index (NDVI) Trendsfrom Advanced Very High Resolution Radiometer (AVHRR) and Système Probatoire d’Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study

    How Normalized Difference Vegetation Index (NDVI) Trendsfrom Advanced Very High Resolution Radiometer (AVHRR) and Système Probatoire d’Observation de la Terre VEGETATION (SPOT VGT)... oleh Patrick Hostert, Dirk Pflugmacher, Thomas Udelhoven, Rasmus Fensholt, He Yin

    Diterbitkan 2012-11-01
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  16. 16
    aTrunk—An ALS-Based Trunk Detection Algorithm

    aTrunk—An ALS-Based Trunk Detection Algorithm oleh Sebastian Lamprecht, Johannes Stoffels, Sandra Dotzler, Erik Haß, Thomas Udelhoven

    Diterbitkan 2015-08-01
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  17. 17
    Forest disturbance characterization in the era of earth observation big data: A mapping review

    Forest disturbance characterization in the era of earth observation big data: A mapping review oleh Enmanuel Rodríguez Paulino, Martin Schlerf, Achim Röder, Johannes Stoffels, Thomas Udelhoven

    Diterbitkan 2024-04-01
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  18. 18
    Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging

    Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging oleh Asmaa Abdelbaki, Martin Schlerf, Rebecca Retzlaff, Miriam Machwitz, Jochem Verrelst, Thomas Udelhoven

    Diterbitkan 2021-04-01
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  19. 19
    Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses

    Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses oleh Christoph Weber, Johannes von Eichel-Streiber, Jesús Rodrigo-Comino, Jens Altenburg, Thomas Udelhoven

    Diterbitkan 2020-08-01
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  20. 20
    A Hyperspectral Thermal Infrared Imaging Instrument for Natural Resources Applications

    A Hyperspectral Thermal Infrared Imaging Instrument for Natural Resources Applications oleh Martin Schlerf, Gilles Rock, Philippe Lagueux, Franz Ronellenfitsch, Max Gerhards, Lucien Hoffmann, Thomas Udelhoven

    Diterbitkan 2012-12-01
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