Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Construction and Environment | en_US |
| dc.creator | Tang, Zhaoqian | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/7579 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Cloud detection and MCS motion tracking using MTSAT satellite images | en_US |
| dcterms.abstract | Clouds have impact on radiance through attenuating the solar radiation through both infrared and visible radiation, thus effects multiple satellite remote sensing applications. To discriminate the cloudy area and clear sky, a cloud mask algorithm based on the dynamic and grouped threshold tests are proposed. The processed data are from Multi-functional Transport Satellite (MTSAT) imagery with a spatial resolution of 4 km and temporal resolution 1 hour. The clear sky radiance thresholds are dynamically determined from the look up table generate from the radiative transfer model. The dynamic threshold method is different from nowadays operational schemes, which are more empirically and regionally dependent. Then the pixel by pixel comparison between the derived cloud product and MODIS cloud product MOD06 has been analyzed. The validation dataset are pairs of image within 5 minutes time difference between the MODIS and MTSAT measurement. The detected cloud from MTSAT show a scene level similarity to MOD06, and through pixel to pixel comparison analysis, it is shown that the average accuracy is about 0.9. The MCS cloud motions are also computed. According to appreciate MCS area and temperature thresholds, the potential MCS covering areas are detected and exact edge information and other morphological and radiative parameters of the mesoscale convective clouds for tracking are calculated. The MCSs evolution including continuity, mergers and dissipation during the convective activity life cycle is detected, and examples from August of 2012 are illustrated. | en_US |
| dcterms.extent | viii, 83 pages : illustrations (some color) ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2014 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Clouds -- Remote sensing. | en_US |
| dcterms.LCSH | Clouds -- Mathematical models. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b27591311.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 7.97 MB | Adobe PDF | View/Open |
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