Cubes&Clouds
References and Further Reading
1.1 What is a Platform
Further reading
- Earth Observation Cloud Platform Concept Development Study Report: https://docs.ogc.org/per/21-023.html
- Big Earth data: disruptive changes in Earth observation data management and analysis? https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1585976
- Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges: https://www.mdpi.com/2072-4292/12/1/62
- An Overview of Platforms for Big Earth Observation Data Management and Analysis: https://www.mdpi.com/2072-4292/12/8/1253
- The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities: https://www.mdpi.com/2072-4292/13/6/1125
- ESA Earth Observation Exploitation Platform Common Architecture (EOEPCA): https://eoepca.org
1.2 What is a Data Cube?
Further Reading
- David Montero Loaiza et al (2023). Data Cubes for Earth System Research: Challenges Ahead. Earth ArXiv (Preprint). https://doi.org/10.31223/X58M2V
- Popular Data Cube Management Systems:
References
- openeo.org (2022). What are Data Cubes.
- ESA (2018). Earth System Data Lab.
- Maximilian Söchting (2022). LexCube – Leipzig Explorer of Earth Data Cubes
1.3 Open Science, Open Data and the FAIR Principles
Further Reading
Help for understanding licenses and choosing the right Open Source license
- Legal (FOSSA) (2023). Software Licencses In Plain English.
- GitHub Inc. (2023) Choose an open source license.
And plentiful resources on open source projects, how to contribute and incorporate them into your work
References
- European Commission (2022). What is open data?. https://data.europa.eu/elearning/en/module1/#/id/co-01 –
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. - Open Knowledge Foundation (2022). Open Data Handbook.
- Fürst, Elena, Gänsdorfer, Nikos, Kalová, Tereza, Macher, Therese, Schranzhofer, Hermann, Stork, Christiane, & Thöricht, Heike (2022). Open Educational Resources Research Data Management. DOI: 10.5281/zenodo.6923397
- ARDC Ltd. (2022). How to Make Your Data FAIR. DOI: 10.5281/zenodo.7426145.
- GO FAIR (2022). The FAIRification Process.
- Mapscaping Podcast with Paul Ramsey (2021). GDAL – Geospatial Data Abstraction Library
- CEOS (2022). CEOS Analysis Ready Data.
2.1 Data Discovery
Further Reading
References
- STAC
- OWSLib
- STAC Python Client (pystac_client)
- radiantearth.github.io/stac-browser
- OpenSearch specification
2.2 Data Properties
Further Reading
2.3 Data Access
References
- openeo.org – About OpenEO
- Edzer Pebesma, Wolfgang Wagner, Jan Verbesselt, Erwin Goor, Christian Briese, Markus Neteler (2016). OpenEO: a GDAL for Earth Observation Analytics. https://r-spatial.org/2016/11/29/openeo.html
- openeo.org – Project Deliverable 22
- openeo.org (2022). Processes on Datacubes
3.2 Result Validation
Further Reading
References
- Meyer, H., Pebesma, E. Machine learning-based global maps of ecological variables and the challenge of assessing them. Nat Commun 13, 2208 (2022). https://doi.org/10.1038/s41467-022-29838-9
- Meyer, H., & Pebesma, E. (2021). Predicting into unknown space? Estimating the area of applicability of spatial prediction models. Methods in Ecology and Evolution, 12, 1620–1633. https://doi.org/10.1111/2041-210X.13650
- Loew et al. (2017): https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1002/2017RG000562
- Brenning et al. (2012): https://doi.org/10.1109/IGARSS.2012.6352393
- Valavi et al. (2019): https://doi.org/10.1111/2041-210X.13107
- Roberts et al. (2017): https://doi.org/10.1111/ecog.02881
- Ploton et al. (2020): https://doi.org/10.1038/s41467-020-18321-y
- Milà et al. (2022): https://doi.org/https://doi.org/10.1111/2041-210X.13851
- Linnenbrink et al. (2023): https://doi.org/10.5194/egusphere-2023-1308
- Sabatini et al. (2022): https://doi.org/10.1038/s41467-022-32063-z