Courses
Events
Resources
Software
- EnMap-Box
- SARbian
About

Log in Register

Search for:

Home
Courses
Resources
About
- FAQ
- Contact us
- Privacy Policy
- Imprint
Log in

Search for:

Student

Kubet 88cbiz

Student

@kubet88cbiz • Joined Jan 2025 • Active 3 days ago

Remove Connection

Are you sure you want to remove from your connections?

Cancel Confirm

Profile
Timeline
Groups

Base

First Name	Kubet
Last Name	88cbiz
Nickname	kubet88cbiz
Short Description	Đồng hành cùng Kubet – lựa chọn hàng đầu năm 2025 cho người yêu thích giải trí trực tuyến. Tự hào được POGO công nhận, Kubet đem lại sự đa dạng trong sản phẩm cá cược, cùng dịch vụ chăm sóc tận tâm, nhanh chóng xử lý mọi vấn đề. Thông tin liên hệ: Địa chỉ: 12 Phan Thúc Duyện, Phường 4, Tân Bình, Hồ Chí Minh, Vietnam Phone: 0563.74.6868 Website: https://kubet88c.biz/ Email: kubet88cbiz@gmail.com Hashtags: #kubet #trangchu_kubet https://www.youtube.com/@kubet88cbiz https://www.pinterest.com/kubet88cbiz/ https://www.reddit.com/user/kubet88cbiz/ https://x.com/kubet88cbiz https://www.tumblr.com/kubet88cbiz https://www.behance.net/3190baa7 https://sites.google.com/view/kubet88cbiz/home https://www.twitch.tv/kubet88cbiz https://unsplash.com/fr/@kubet88cbiz https://issuu.com/kubet88cbiz https://www.producthunt.com/@kubet88cbiz https://500px.com/p/kubet88cbiz https://about.me/kubet88cbiz https://github.com/kubet88cbiz https://kinner06871898.wixsite.com/kubet88cbiz https://kubet88cbiz.wordpress.com/ https://kubet88cbiz.bandcamp.com/album/kubet https://ameblo.jp/kubet88cbiz/ https://pixabay.com/users/48158079/ https://gitlab.com/kubet88cbiz https://www.pexels.com/@kubet-88cbiz-2148603767/ https://scholar.google.com/citations?hl=en&user=ugljL-wAAAAJ https://linktr.ee/kubet88cbiz https://linkr.bio/kubet88cbiz https://knowyourmeme.com/users/kubet-88cbiz https://trello.com/u/kubet88cbiz/activity https://lichess.org/@/kubet88cbiz https://wykop.pl/ludzie/kubet88cbiz https://www.theverge.com/users/kubet88cbiz https://stocktwits.com/kubet88cbiz https://vimeo.com/kubet88cbiz https://varecha.pravda.sk/profil/kubet88cbiz/o-mne/ https://substack.com/@kubet88cbiz

Digital learning, sustainable future.

© 2025 - EO College

Report

There was a problem reporting this post.

Harassment Harassment or bullying behavior

Inappropriate Contains mature or sensitive content

Misinformation Contains misleading or false information

Suspicious Contains spam, fake content or potential malware

Other

Report note

Block Member?

Please confirm you want to block this member.

You will no longer be able to:

See blocked member's posts
Mention this member in posts
Invite this member to groups

Please allow a few minutes for this process to complete.

Report

You have already reported this .

111

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

opensource.com (2023). Open Source resources.

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

STAC tutorials
Echoes in space course

References

STAC
OWSLib
STAC Python Client (pystac_client)
radiantearth.github.io/stac-browser
OpenSearch specification

2.2 Data Properties

Further Reading

Standartized data management with STAC
STAC sessions from FOSS4G 2023

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

Video: Meyer, Hanna: Machine learning-based maps of the environment: challenges of extrapolation and overfitting. OpenGeoHub Summer School 2022 – KISTE project workshop, OpenGeoHub Foundation, 2022. https://doi.org/10.5446/59412

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