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Ice cloud detection from AMSU-A, MHS, and HIRS satellite instruments inferred by cloud profiling radar
| Content Provider | Scilit |
|---|---|
| Author | Islam, Tanvir Srivastava, Prashant K. Dai, Qiang Gupta, Manika |
| Copyright Year | 2014 |
| Description | Journal: Remote Sensing Letters An algorithm for ice cloud detection aided by support vector machine (AID-SVM) is presented. The AID-SVM algorithm is applied and tested for the Advanced Microwave Sounding Unit-A, microwave humidity sounder (MHS), and high resolution infrared radiation sounder (HIRS) instruments onboard NOAA-19 satellite. The algorithm is based on satellite brightness temperature measurements and developed as well as validated by using collocated ice/no-ice cloud information acquired from the CloudSat cloud-profiling radar. The algorithm is tested over both ocean and land surfaces. Overall, the results exhibit very promising potential to acquire ice/no-ice cloud information using the passive satellite sensors. It is found that infrared satellite sensor such as HIRS is more efficient in detecting ice clouds than the counterpart microwave satellite sensors. Furthermore, the combined measurements using microwave/infrared synergy perform no better than the infrared-only measurements. |
| Related Links | http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1174&context=nasapub |
| Ending Page | 1021 |
| Page Count | 10 |
| Starting Page | 1012 |
| ISSN | 2150704X |
| e-ISSN | 21507058 |
| DOI | 10.1080/2150704x.2014.990643 |
| Journal | Remote Sensing Letters |
| Issue Number | 12 |
| Volume Number | 5 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2014-12-02 |
| Access Restriction | Open |
| Subject Keyword | Journal: Remote Sensing Letters Remote Sensing Cloud Detection Profiling Radar Hirs Satellite Instruments Inferred Cloud Profiling Satellite Instruments |
| Content Type | Text |
| Subject | Earth and Planetary Sciences Electrical and Electronic Engineering |
