Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis
Two methods of cloud masking tuned to tropical conditions have been developed, based on spectral analysis and Principal Components Analysis (PCA) of MODIS (Moderate Resolution Imaging Spectroradiometer) data. In the spectral approach, thresholds were applied to four reflective bands (1, 2, 3, and 4)...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Engineering, Technology & Applied Science Research
2012
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/3384/1/148-616-1-PB%5B1%5D_PUBLISHED_AT_INTERNET.pdf http://eprints.utem.edu.my/id/eprint/3384/ http://www.etasr.com/index.php/ETASR/index |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832715989748285440 |
|---|---|
| author | Asmala, A. Shaun, Quegan |
| author_facet | Asmala, A. Shaun, Quegan |
| author_sort | Asmala, A. |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Two methods of cloud masking tuned to tropical conditions have been developed, based on spectral analysis and Principal Components Analysis (PCA) of MODIS (Moderate Resolution Imaging Spectroradiometer) data. In the spectral approach, thresholds were applied to four reflective bands (1, 2, 3, and 4), three thermal bands (29, 31 and 32), the band 2/band 1 ratio, and the difference between band 29 and 31 in order to detect cloud. The PCA approach applied a threshold to the first principal component derived from the seven quantities used for spectral analysis. Cloud detections were compared with the standard MODIS cloud mask, and their accuracy was assessed using reference images and geographical information on the study area. |
| format | Article |
| id | my.utem.eprints-3384 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2012 |
| publisher | Engineering, Technology & Applied Science Research |
| record_format | eprints |
| spelling | my.utem.eprints-33842021-10-01T12:07:40Z http://eprints.utem.edu.my/id/eprint/3384/ Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis Asmala, A. Shaun, Quegan QA75 Electronic computers. Computer science Two methods of cloud masking tuned to tropical conditions have been developed, based on spectral analysis and Principal Components Analysis (PCA) of MODIS (Moderate Resolution Imaging Spectroradiometer) data. In the spectral approach, thresholds were applied to four reflective bands (1, 2, 3, and 4), three thermal bands (29, 31 and 32), the band 2/band 1 ratio, and the difference between band 29 and 31 in order to detect cloud. The PCA approach applied a threshold to the first principal component derived from the seven quantities used for spectral analysis. Cloud detections were compared with the standard MODIS cloud mask, and their accuracy was assessed using reference images and geographical information on the study area. Engineering, Technology & Applied Science Research 2012-06 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/3384/1/148-616-1-PB%5B1%5D_PUBLISHED_AT_INTERNET.pdf Asmala, A. and Shaun, Quegan (2012) Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis. ETASR - Engineering, Technology & Applied Science Research, 2 (3). pp. 221-225. ISSN 1792-8036 http://www.etasr.com/index.php/ETASR/index |
| spellingShingle | QA75 Electronic computers. Computer science Asmala, A. Shaun, Quegan Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis |
| title | Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis |
| title_full | Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis |
| title_fullStr | Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis |
| title_full_unstemmed | Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis |
| title_short | Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis |
| title_sort | cloud masking for remotely sensed data using spectral and principal components analysis |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utem.edu.my/id/eprint/3384/1/148-616-1-PB%5B1%5D_PUBLISHED_AT_INTERNET.pdf http://eprints.utem.edu.my/id/eprint/3384/ http://www.etasr.com/index.php/ETASR/index |
| url_provider | http://eprints.utem.edu.my/ |