Hasil Pencarian - Daniel Scheffler

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  1. 1
    Improved burn severity estimation by using Land Surface Phenology metrics and red edge information estimated from Landsat

    Improved burn severity estimation by using Land Surface Phenology metrics and red edge information estimated from Landsat oleh Daniel Scheffler, David Frantz

    Diterbitkan 2022-12-01
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  2. 2
    AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

    AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data oleh Daniel Scheffler, André Hollstein, Hannes Diedrich, Karl Segl, Patrick Hostert

    Diterbitkan 2017-07-01
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  3. 3
    Towards analysis ready data of optical CubeSat images: Demonstrating a hierarchical normalization framework at a wetland site

    Towards analysis ready data of optical CubeSat images: Demonstrating a hierarchical normalization framework at a wetland site oleh Zhan Li, Daniel Scheffler, Nicholas C. Coops, Nicholas Leach, Torsten Sachs

    Diterbitkan 2021-12-01
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  4. 4
    Assessment of Polymer Atmospheric Correction Algorithm for Hyperspectral Remote Sensing Imagery over Coastal Waters

    Assessment of Polymer Atmospheric Correction Algorithm for Hyperspectral Remote Sensing Imagery over Coastal Waters oleh Mariana A. Soppa, Brenner Silva, François Steinmetz, Darryl Keith, Daniel Scheffler, Niklas Bohn, Astrid Bracher

    Diterbitkan 2021-06-01
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  5. 5
    Reduction of Uncorrelated Striping Noise—Applications for Hyperspectral Pushbroom Acquisitions

    Reduction of Uncorrelated Striping Noise—Applications for Hyperspectral Pushbroom Acquisitions oleh Christian Rogass, Christian Mielke, Daniel Scheffler, Nina K. Boesche, Angela Lausch, Christin Lubitz, Maximilian Brell, Daniel Spengler, Andreas Eisele, Karl Segl, Luis Guanter

    Diterbitkan 2014-11-01
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