Academic Journal
Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2.5
| Τίτλος: | Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2.5 |
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| Συγγραφείς: | Xu, Y, Ho, HC, Wong, MS, Deng, C, Shi, Y, Chan, TC, Knudby, A |
| Συνεισφορές: | Department of Land Surveying and Geo-Informatics, Research Institute for Sustainable Urban Development |
| Στοιχεία εκδότη: | Pergamon Press |
| Έτος έκδοσης: | 2022 |
| Συλλογή: | Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR) |
| Περιγραφή: | 202207 bcfc ; Accepted Manuscript ; Others ; Social Sciences Foundation of the Ministry of Education of China;National Key Research and Development Program of China;General Research Fund; Research Institute for Sustainable Urban Development, the Hong Kong Polytechnic University ; Published ; Green (AAM) |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| Relation: | http://hdl.handle.net/10397/93553; 1417; 1426; 242; part B |
| DOI: | 10.1016/j.envpol.2018.08.029 |
| Διαθεσιμότητα: | http://hdl.handle.net/10397/93553 https://doi.org/10.1016/j.envpol.2018.08.029 |
| Rights: | © 2018 Elsevier Ltd. All rights reserved. ; © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ ; The following publication Xu, Y., Ho, H. C., Wong, M. S., Deng, C., Shi, Y., Chan, T. C., & Knudby, A. (2018). Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2. 5. Environmental pollution, 242, 1417-1426 is available at https://doi.org/10.1016/j.envpol.2018.08.029 |
| Αριθμός Καταχώρησης: | edsbas.8448A0D1 |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.1016/j.envpol.2018.08.029 |
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