A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project-Reference-Cited by-同舟云学术

A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project

Published:2024-09 Issue:6 Volume:74 Page:2752-2770
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Kłopotek Grzegorz,Pan Yuanxin,Sturn Tobias,Weinacker Rudi,See Linda,Crocetti Laura,Awadaljeed Mudathir,Rothacher Markus,McCallum Ian,Fritz Steffen,Navarro Vicente,Soja Benedikt

Funder

Chinese Academy of Sciences

European Space Agency

Publisher

Elsevier BV

Reference64 articles.

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1. Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data;Atmospheric Measurement Techniques;2024-07-19

2. Global Ionospheric Modeling Using Multi-GNSS: A Machine Learning Approach;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07