Hasil Pencarian - Edzer Pebesma

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  1. 1
    spacetime : Spatio-Temporal Data in R

    spacetime : Spatio-Temporal Data in R oleh Edzer Pebesma

    Diterbitkan 2012-11-01
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  2. 2
    On-Demand Processing of Data Cubes from Satellite Image Collections with the gdalcubes Library

    On-Demand Processing of Data Cubes from Satellite Image Collections with the gdalcubes Library oleh Marius Appel, Edzer Pebesma

    Diterbitkan 2019-06-01
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  3. 3
    Machine learning-based global maps of ecological variables and the challenge of assessing them

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

    Diterbitkan 2022-04-01
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  4. 4
    A Topology Based Spatio-Temporal Map Algebra for Big Data Analysis

    A Topology Based Spatio-Temporal Map Algebra for Big Data Analysis oleh Sören Gebbert, Thomas Leppelt, Edzer Pebesma

    Diterbitkan 2019-06-01
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  5. 5
    Using Google Earth Engine to detect land cover change: Singapore as a use case

    Using Google Earth Engine to detect land cover change: Singapore as a use case oleh Nanki Sidhu, Edzer Pebesma, Gilberto Câmara

    Diterbitkan 2018-01-01
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  6. 6
    Multidimensional Arrays for Analysing Geoscientific Data

    Multidimensional Arrays for Analysing Geoscientific Data oleh Meng Lu, Marius Appel, Edzer Pebesma

    Diterbitkan 2018-08-01
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  7. 7
    Optimal network design for spatial prediction of soil redistribution (137Cs) based on a minimax approach

    Optimal network design for spatial prediction of soil redistribution (137Cs) based on a minimax approach oleh Firoozeh Rivaz, Mohsen Hosseinalizadeh, Edzer Pebesma

    Diterbitkan 2014-01-01
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  8. 8
    Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing

    Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing oleh Johannes Heisig, Edward Olson, Edzer Pebesma

    Diterbitkan 2022-02-01
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  9. 9
    Software for Spatial Statistics

    Software for Spatial Statistics oleh Edzer Pebesma, Roger Bivand, Paulo Justiniano Ribeiro

    Diterbitkan 2015-02-01
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  10. 10
    Usability Study to Assess the IGBP Land Cover Classification for Singapore

    Usability Study to Assess the IGBP Land Cover Classification for Singapore oleh Nanki Sidhu, Edzer Pebesma, Yi-Chen Wang

    Diterbitkan 2017-10-01
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  11. 11
    Dimension Reduction of Multi-Spectral Satellite Image Time Series to Improve Deforestation Monitoring

    Dimension Reduction of Multi-Spectral Satellite Image Time Series to Improve Deforestation Monitoring oleh Meng Lu, Eliakim Hamunyela, Jan Verbesselt, Edzer Pebesma

    Diterbitkan 2017-10-01
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  12. 12
    plotKML: Scientific Visualization of Spatio-Temporal Data

    plotKML: Scientific Visualization of Spatio-Temporal Data oleh Tomislav Hengl, Pierre Roudier, Dylan Beaudette, Edzer Pebesma

    Diterbitkan 2015-02-01
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  13. 13
    dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R

    dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R oleh Victor Maus, Gilberto Câmara, Marius Appel, Edzer Pebesma

    Diterbitkan 2019-01-01
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  14. 14
    Optimising Citizen-Driven Air Quality Monitoring Networks for Cities

    Optimising Citizen-Driven Air Quality Monitoring Networks for Cities oleh Shivam Gupta, Edzer Pebesma, Auriol Degbelo, Ana Cristina Costa

    Diterbitkan 2018-11-01
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  15. 15
    Do Monetary Incentives Influence Users’ Behavior in Participatory Sensing?

    Do Monetary Incentives Influence Users’ Behavior in Participatory Sensing? oleh Ngo Manh Khoi, Sven Casteleyn, M. Mehdi Moradi, Edzer Pebesma

    Diterbitkan 2018-05-01
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  16. 16
    Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data

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

    Diterbitkan 2022-09-01
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  17. 17
    Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing

    Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing oleh Vitor C. F. Gomes, Gilberto R. Queiroz, Karine R. Ferreira, Edzer Pebesma, Claudio C. F. Barbosa

    Diterbitkan 2024-12-01
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  18. 18
    Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations

    Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations oleh Marcio Pupin Mello, Joel Risso, Clement Atzberger, Paul Aplin, Edzer Pebesma, Carlos Antonio Oliveira Vieira, Bernardo Friedrich Theodor Rudorff

    Diterbitkan 2013-11-01
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  19. 19
    The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities

    The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities oleh Matthias Schramm, Edzer Pebesma, Milutin Milenković, Luca Foresta, Jeroen Dries, Alexander Jacob, Wolfgang Wagner, Matthias Mohr, Markus Neteler, Miha Kadunc, Tomasz Miksa, Pieter Kempeneers, Jan Verbesselt, Bernhard Gößwein, Claudio Navacchi, Stefaan Lippens, Johannes Reiche

    Diterbitkan 2021-03-01
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