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Conference Paper: Comparison of different Kernel-based Probabilistic Models and Regression Methods in retrieving Ground-Level NO2 Concentrations over Southern China based upon Satellite Remote Sensing datasets
Title | Comparison of different Kernel-based Probabilistic Models and Regression Methods in retrieving Ground-Level NO2 Concentrations over Southern China based upon Satellite Remote Sensing datasets |
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Authors | |
Issue Date | 2018 |
Citation | Big Data Challenges for Predictive Modeling of Complex Systems, Hong Kong, 26-30 November 2018 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/283086 |
DC Field | Value | Language |
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dc.contributor.author | Mak, HWL | - |
dc.contributor.author | Fung, JC | - |
dc.date.accessioned | 2020-06-09T07:07:25Z | - |
dc.date.available | 2020-06-09T07:07:25Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Big Data Challenges for Predictive Modeling of Complex Systems, Hong Kong, 26-30 November 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10722/283086 | - |
dc.language | eng | - |
dc.relation.ispartof | Big Data Challenges for Predictive Modeling of Complex Systems | - |
dc.title | Comparison of different Kernel-based Probabilistic Models and Regression Methods in retrieving Ground-Level NO2 Concentrations over Southern China based upon Satellite Remote Sensing datasets | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Mak, HWL: hwlmak@hku.hk | - |
dc.identifier.authority | Mak, HWL=rp02674 | - |
dc.publisher.place | Hong Kong | - |