A computational framework for processing time-series of earth observation data based on discrete convolution: global-scale historical Landsat cloud-free aggregates at 30 m spatial... by Davide Consoli, Leandro Parente, Rolf Simoes, Murat Şahin, Xuemeng Tian, Martijn Witjes, Lindsey Sloat, Tomislav Hengl

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Global 30-m annual median vegetation height maps (2000–2022) based on ICESat-2 data and Machine Learning by Maria O. Hunter, Leandro Parente, Yu-feng Ho, Carmelo Bonannella, Laerte Guimarães Ferreira, Douglas Morton, Davide Consoli, Lindsey Sloat

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Spatiotemporal prediction of soil organic carbon density in Europe (2000–2022) using earth observation and machine learning by Xuemeng Tian, Sytze de Bruin, Rolf Simoes, Mustafa Serkan Isik, Robert Minarik, Yu-Feng Ho, Murat Şahin, Martin Herold, Davide Consoli, Tomislav Hengl

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Light use efficiency (LUE) based bimonthly gross primary productivity (GPP) for global grasslands at 30 m spatial resolution (2000–2022) by Mustafa Serkan Isik, Leandro Parente, Davide Consoli, Lindsey Sloat, Vinicius Vieira Mesquita, Laerte Guimaraes Ferreira, Simone Sabbatini, Radost Stanimirova, Nathalia Monteiro Teles, Nathaniel Robinson, Ciniro Costa Junior, Tomislav Hengl

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Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning by Leandro Parente, Lindsey Sloat, Vinicius Mesquita, Davide Consoli, Radost Stanimirova, Tomislav Hengl, Carmelo Bonannella, Nathália Teles, Ichsani Wheeler, Maria Hunter, Steffen Ehrmann, Laerte Ferreira, Ana Paula Mattos, Bernard Oliveira, Carsten Meyer, Murat Şahin, Martijn Witjes, Steffen Fritz, Ziga Malek, Fred Stolle

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