Iosifescu Enescu, I.; de Espona, L.; Haas-Artho, D.; Kurup Buchholz, R.; Hanimann, D.; Rüetschi, M.; Karger, D.N.; Plattner, G.-K.; Hägeli, M.; Ginzler, C.;
et al. Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series. Geomatics 2021, 1, 369-382.
https://doi.org/10.3390/geomatics1030021
AMA Style
Iosifescu Enescu I, de Espona L, Haas-Artho D, Kurup Buchholz R, Hanimann D, Rüetschi M, Karger DN, Plattner G-K, Hägeli M, Ginzler C,
et al. Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series. Geomatics. 2021; 1(3):369-382.
https://doi.org/10.3390/geomatics1030021
Chicago/Turabian Style
Iosifescu Enescu, Ionuț, Lucia de Espona, Dominik Haas-Artho, Rebecca Kurup Buchholz, David Hanimann, Marius Rüetschi, Dirk Nikolaus Karger, Gian-Kasper Plattner, Martin Hägeli, Christian Ginzler,
and et al. 2021. "Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series" Geomatics 1, no. 3: 369-382.
https://doi.org/10.3390/geomatics1030021
APA Style
Iosifescu Enescu, I., de Espona, L., Haas-Artho, D., Kurup Buchholz, R., Hanimann, D., Rüetschi, M., Karger, D. N., Plattner, G.-K., Hägeli, M., Ginzler, C., Zimmermann, N. E., & Pellissier, L.
(2021). Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series. Geomatics, 1(3), 369-382.
https://doi.org/10.3390/geomatics1030021