Search Results - "Hank, Tobias"

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  1. 1

    Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe by Hank, Tobias B, Bach, Heike, Mauser, Wolfram

    Published in Remote sensing (Basel, Switzerland) (01-04-2015)
    “…The challenge of converting global agricultural food, fiber and energy crop cultivation into an ecologically and economically sustainable production process…”
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    Journal Article
  2. 2

    Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions by Berger, Katja, Verrelst, Jochem, Féret, Jean-Baptiste, Wang, Zhihui, Wocher, Matthias, Strathmann, Markus, Danner, Martin, Mauser, Wolfram, Hank, Tobias

    Published in Remote sensing of environment (01-06-2020)
    “…Nitrogen (N) is considered as one of the most important plant macronutrients and proper management of N therefore is a pre-requisite for modern agriculture…”
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  3. 3

    Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies by Danner, Martin, Berger, Katja, Wocher, Matthias, Mauser, Wolfram, Hank, Tobias

    Published in Remote sensing (Basel, Switzerland) (01-05-2019)
    “…Decades after release of the first PROSPECT + SAIL (commonly called PROSAIL) versions, the model is still the most famous representative in the field of canopy…”
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  4. 4

    Retrieval of aboveground crop nitrogen content with a hybrid machine learning method by Berger, Katja, Verrelst, Jochem, Féret, Jean-Baptiste, Hank, Tobias, Wocher, Matthias, Mauser, Wolfram, Camps-Valls, Gustau

    “…•PROSPECT-PRO model accounting for proteins is coupled with the 1-D SAIL model.•Gaussian processes (GP) identifies optimal spectral bands for nitrogen (N)…”
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    Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data by Wocher, Matthias, Berger, Katja, Danner, Martin, Mauser, Wolfram, Hank, Tobias

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…Quantitative equivalent water thickness on canopy level (EWTcanopy) is an important land surface variable and retrieving EWTcanopy from remote sensing has been…”
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  7. 7

    Detection of Solar Photovoltaic Power Plants Using Satellite and Airborne Hyperspectral Imaging by Jörges, Christoph, Vidal, Hedwig Sophie, Hank, Tobias, Bach, Heike

    Published in Remote sensing (Basel, Switzerland) (01-07-2023)
    “…Solar photovoltaic panels (PV) provide great potential to reduce greenhouse gas emissions as a renewable energy technology. The number of solar PV has…”
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    Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model by Berger, Katja, Atzberger, Clement, Danner, Martin, Wocher, Matthias, Mauser, Wolfram, Hank, Tobias

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…Satellite hyperspectral Earth observation missions have strong potential to support sustainable agriculture by providing accurate spatial and temporal…”
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    Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges by Hank, Tobias B., Berger, Katja, Bach, Heike, Clevers, Jan G. P. W., Gitelson, Anatoly, Zarco-Tejada, Pablo, Mauser, Wolfram

    Published in Surveys in geophysics (01-05-2019)
    “…Agriculture faces the challenge of providing food, fibre and energy from limited land resources to satisfy the changing needs of a growing world population…”
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  12. 12

    A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data by Berger, Katja, Caicedo, Juan Pablo Rivera, Martino, Luca, Wocher, Matthias, Hank, Tobias, Verrelst, Jochem

    Published in Remote sensing (Basel, Switzerland) (15-01-2021)
    “…The current exponential increase of spatiotemporally explicit data streams from satellitebased Earth observation missions offers promising opportunities for…”
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  13. 13

    Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery by Berger, Katja, Hank, Tobias, Halabuk, Andrej, Rivera-Caicedo, Juan Pablo, Wocher, Matthias, Mojses, Matej, Gerhátová, Katarina, Tagliabue, Giulia, Dolz, Miguel Morata, Venteo, Ana Belen Pascual, Verrelst, Jochem

    Published in Remote sensing (Basel, Switzerland) (21-11-2021)
    “…Non-photosynthetic vegetation (NPV) biomass has been identified as a priority variable for upcoming spaceborne imaging spectroscopy missions, calling for a…”
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  14. 14

    A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy by Verrelst, Jochem, Halabuk, Andrej, Atzberger, Clement, Hank, Tobias, Steinhauser, Stefanie, Berger, Katja

    Published in Ecological indicators (01-11-2023)
    “…•We reviewed optical remote sensing literature on non-photosynthetic vegetation (NPV).•NPV can be detected and quantified thanks to narrow absorption features…”
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  15. 15

    Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model by Locherer, Matthias, Hank, Tobias, Danner, Martin, Mauser, Wolfram

    Published in Remote sensing (Basel, Switzerland) (01-08-2015)
    “…The upcoming satellite mission EnMAP offers the opportunity to retrieve information on the seasonal development of vegetation parameters on a regional scale…”
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  16. 16

    Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy by Danner, Martin, Berger, Katja, Wocher, Matthias, Mauser, Wolfram, Hank, Tobias

    Published in Remote sensing (Basel, Switzerland) (01-07-2017)
    “…The future German Environmental Mapping and Analysis Program (EnMAP) mission, due to launch in late 2019, will deliver high resolution hyperspectral data from…”
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    RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits by Wocher, Matthias, Berger, Katja, Danner, Martin, Mauser, Wolfram, Hank, Tobias

    “…•SIR simultaneously derives crop chlorophyll, carotenoid and water contents.•Absorption feature spaces are automatically detected by convex hull…”
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    Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping by Richter, Katja, Hank, Tobias B., Vuolo, Francesco, Mauser, Wolfram, D’Urso, Guido

    Published in Remote sensing (Basel, Switzerland) (01-03-2012)
    “…The continuously increasing demand of accurate quantitative high quality information on land surface properties will be faced by a new generation of…”
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