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First 651 results for ” H Koernich”

1. Self-supervision, remote sensing and abstraction: representation learning across 3 million locations

   Self-supervision based deep learning classification approaches have received considerable attenti...

   Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson | Journal: Digital Image Computing: Techniques and Applications (DICTA) | Year: 2022 | doi: https://doi.org/10.1109/DICTA52665.2021.9647061

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2. The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques

   In response to the COVID-19 pandemic, most countries implemented public health ordinances that re...

   Jasper S. Wijnands, Kerry A. Nice, Sachith Seneviratne, Jason Thompson, Mark Stevenson | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | doi: https://doi.org/10.1016/j.apr.2022.101438

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3. Ground-motion prediction models for induced earthquakes in the Groningen gas field, the Netherlands

   Small-magnitude earthquakes induced by gas production in the Groningen field in the Netherlands h...

   Julian Bommer, Peter Stafford, Elmer Ruigrok, Adrian Rodriguez-Marek, Michael Ntinalexis, Pauline Kruiver, Ben Edwards, Bernard Dost and Jan van Elk | Journal: Journal of Seismology | Volume: 6 | Year: 2022 | First page: 1157 | Last page: 1184 | doi: https://doi.org/10.1007/s10950-022-10120-w

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4. A database of ground motion recordings, site profiles, and amplification factors from the Groningen gas field in the Netherlands

   A comprehensive database that has been used to develop ground motion models for induced earthquak...

   Michail Ntinalexis, Pauline P Kruiver, Julian J Bommer, Elmer Ruigrok, Adrian Rodriguez-Marek, Ben Edwards, Rui Pinho, Jesper Spetzler, Edwin Obando Hernandez, Manos Pefkos, Mahdi Bahrampouri, Erik P van Onselen, Bernard Dost, Jan van Elk | Journal: Earthquake Spectra | Year: 2022 | doi: 10.1177/87552930221140926

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5. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks

   This paper reports on consolidated ground-based validation results of the atmospheric NO2 data pr...

   Verhoelst, T., Compernolle, S., Pinardi, G., Lambert, J.-C., Eskes, H. J., Eichmann, K.-U., Fjæraa, A. M., Granville, J., Niemeijer, S., Cede, A., Tiefengraber, M., Hendrick, F., Pazmiño, A., Bais, A., Bazureau, A., Boersma, K. F., Bognar, K., Dehn, A., Donner, S., Elokhov, A., Gebetsberger, M., Goutail, F., Grutter de la Mora, M., Gruzdev, A., Gratsea, M., Hansen, G. H., Irie, H., Jepsen, N., Kanaya, Y., Karagkiozidis, D., Kivi, R., Kreher, K., Levelt, P. F., Liu, C., Müller, M., Navarro Comas, M., Piters, A. J. M., Pommereau, J.-P., Portafaix, T., Prados-Roman, C., Puentedura, O., Querel, R., Remmers, J., Richter, A., Rimmer, J., Rivera Cárdenas, C., Saavedra de Miguel, L., Sinyakov, V. P., Stremme, W., Strong, K., Van Roozendael, M., Veefkind, J. P., Wagner, T., Wittrock, F., Yela González, M., and Zehner, C. | Status: accepted | Journal: Atmos. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 481 | Last page: 510 | doi: 10.5194/amt-14-481-2021

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