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Vegetation type is an important predictor of the arctic summer land surface energy budget
Oehri, J., Schaepman-Strub, G., Kim, J. S., Grysko, R., Kropp, H., Grünberg, I., … Chambers, S. D. (2022). Vegetation type is an important predictor of the arctic summer land surface energy budget. Nature Communications, 13(1), 6379 (12 pp.). https://doi.org/10.1038/s41467-022-34049-3
Cloud optimized raster encoding (CORE): a web-native streamable format for large environmental time series
Iosifescu Enescu, I., de Espona, L., Haas-Artho, D., Kurup Buchholz, R., Hanimann, D., Rüetschi, M., … 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
Challenges for integrating Web-EGIS functionalities in the environmental research data portal EnviDat
Iosifescu Enescu, I., Hanimann, D., Karger, D. N., Plattner, G. K., Haas-Artho, D., Kurup Buchholz, R., … Hägeli, M. (2020). Challenges for integrating Web-EGIS functionalities in the environmental research data portal EnviDat (p. (3 pp.). Presented at the 18th Swiss geoscience meeting 2020. .