Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93545
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.contributor | Research Institute for Sustainable Urban Development | en_US |
dc.creator | He, J | en_US |
dc.creator | Liu, Z | en_US |
dc.date.accessioned | 2022-07-08T01:03:01Z | - |
dc.date.available | 2022-07-08T01:03:01Z | - |
dc.identifier.issn | 0196-2892 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93545 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication He, J., & Liu, Z. (2020). Water vapor retrieval from MODIS NIR channels using ground-based GPS data. IEEE Transactions on Geoscience and Remote Sensing, 58(5), 3726-3737 is available at https://doi.org/10.1109/TGRS.2019.2962057 | en_US |
dc.subject | GPS | en_US |
dc.subject | Moderate resolution imaging spectroradiometer (MODIS) | en_US |
dc.subject | Precipitable water vapor (PWV) | en_US |
dc.subject | Retrieval | en_US |
dc.title | Water vapor retrieval from MODIS NIR channels using ground-based GPS data | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 3726 | en_US |
dc.identifier.epage | 3737 | en_US |
dc.identifier.volume | 58 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.doi | 10.1109/TGRS.2019.2962057 | en_US |
dcterms.abstract | A novel algorithm for water vapor retrieval from Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared (NIR) channels is proposed in this research. In contrast to conventional retrieval algorithms based on radiative transfer methods, this algorithm uses the empirical regression functions to calculate precipitable water vapor (PWV). In this article, water vapor data observed from January 1, 2003, to December 31, 2017, from 464 GPS stations situated in western North America serve as reference data to determine the relationship between the transmittance of the water vapor absorption channels and atmospheric water vapor content. The model is trained on different subsets of the training data through the bootstrap resampling method. Validation results against PWV observations during the period 2010-2017 from five globally distributed GPS stations illustrate that the algorithm can significantly improve the accuracy of MODIS NIR water vapor data, with root-mean-square error (RMSE) reduction of 22.48% from 7.670 to 5.946 mm for two-channel ratio method and 21.69% from 7.670 to 6.006 mm for three-channel ratio method for MODIS/Terra satellite data, and RMSE reduction of 16.42% from 7.191 to 6.010 mm and 15.26% from 7.191 to 6.094 mm for PWV derived from two-channel and three-channel ratio methods from Aqua, respectively, for MODIS/Aqua satellite data. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on geoscience and remote sensing, May 2020, v. 58, no. 5, p. 3726-3737 | en_US |
dcterms.isPartOf | IEEE transactions on geoscience and remote sensing | en_US |
dcterms.issued | 2020-05 | - |
dc.identifier.scopus | 2-s2.0-85083891346 | - |
dc.identifier.eissn | 1558-0644 | en_US |
dc.description.validate | 202207 bcfc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LSGI-0109 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Emerging Frontier Area (EFA) Scheme of Research Institute for Sustainable Urban Development (RISUD) of The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 56135816 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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He_Water_Vapor_Retrieval.pdf | Pre-Published version | 1.22 MB | Adobe PDF | View/Open |
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