Hasil Pencarian - Daniel Doktor

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  1. 1
    Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS)

    Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS) oleh Xingmei Xu, Christopher Conrad, Daniel Doktor

    Diterbitkan 2017-03-01
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  2. 2
    Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods

    Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods oleh Daniel Doktor, Angela Lausch, Daniel Spengler, Martin Thurner

    Diterbitkan 2014-12-01
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  3. 3
    Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data

    Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data oleh Dawit A. Ayalew, Detlef Deumlich, Bořivoj Šarapatka, Daniel Doktor

    Diterbitkan 2020-04-01
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  4. 4
    The leaf is always greener on the other side of the lab: Optical in-situ indicators for leaf chlorophyll content need improvement for semi-natural grassland areas

    The leaf is always greener on the other side of the lab: Optical in-situ indicators for leaf chlorophyll content need improvement for semi-natural grassland areas oleh Antonia D. Ludwig, Daniel Doktor, Reimund Goss, Severin Sasso, Hannes Feilhauer

    Diterbitkan 2022-10-01
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  5. 5
    Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors

    Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors oleh Maximilian Lange, Benjamin Dechant, Corinna Rebmann, Michael Vohland, Matthias Cuntz, Daniel Doktor

    Diterbitkan 2017-08-01
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  6. 6
    Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring

    Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring oleh Carsten Neumann, Gabriele Weiss, Sebastian Schmidtlein, Sibylle Itzerott, Angela Lausch, Daniel Doktor, Maximilian Brell

    Diterbitkan 2015-03-01
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  7. 7
    Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation

    Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation oleh Hannes Feilhauer, András Zlinszky, Adam Kania, Giles M. Foody, Daniel Doktor, Angela Lausch, Sebastian Schmidtlein

    Diterbitkan 2021-06-01
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  8. 8
    Reduction of Radiometric Miscalibration—Applications to Pushbroom Sensors

    Reduction of Radiometric Miscalibration—Applications to Pushbroom Sensors oleh Sigrid Roessner, Robert Behling, Hans-Ulrich Wetzel, Hermann Kaufmann, Daniel Doktor, Angela Lausch, Karl Segl, Mathias Bochow, Daniel Spengler, Christian Rogaß

    Diterbitkan 2011-06-01
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  9. 9
    Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy

    Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy oleh Joan-Cristian Padró, Xavier Pons, David Aragonés, Ricardo Díaz-Delgado, Diego García, Javier Bustamante, Lluís Pesquer, Cristina Domingo-Marimon, Òscar González-Guerrero, Jordi Cristóbal, Daniel Doktor, Maximilian Lange

    Diterbitkan 2017-12-01
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