Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education
There is a growing demand to train Earth Observation (EO) data users in how to access and use existing and upcoming data. A promising tool for data-related training is computational notebooks, which are interactive web applications that combine text, code and computational output. Here, we present t...
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Format: | Article |
Language: | English |
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Philipps-Universität Marburg
2023
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Online Access: | PDF Full Text |
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urn:nbn:de:hebis:04-es2023-00377 |
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2023-04-03 |
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Erstveröffentlichung: Wagemann, J.; Fierli, F.; Mantovani, S.; Siemen, S.; Seeger, B.; Bendix, J. Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education. Remote Sens. 2022, 14, 3359. https://doi.org/ 10.3390/rs14143359 |
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14 (2025), 95 (2024), 59 (2023) |
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https://creativecommons.org/licenses/by/4.0 |
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https://archiv.ub.uni-marburg.de/es/2023/0037 https://doi.org/10.3390/rs14143359 |