Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping
The data gaps in the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Scan Line Corrector (SLC)-off imagery as a result of SLC failure are well recognized. The degradation introduced by their use in scientific applications is concerning to Landsat users. SLC-off data gaps cause problems in many applic...
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| Format: | Article |
| Language: | English |
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Springer
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43868/ http://psasir.upm.edu.my/id/eprint/43868/1/Assessment%20of%20the%20impact%20of%20Landsat%207%20Scan%20Line%20Corrector%20data%20gaps%20on%20Sungai%20Pulai%20Estuary%20seagrass%20mapping.pdf |
| _version_ | 1848850344933588992 |
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| author | Hossain, Mohammad Shawkat Bujang, Japar Sidik Zakaria @ Ya, Muta Harah Hashim, Mazlan |
| author_facet | Hossain, Mohammad Shawkat Bujang, Japar Sidik Zakaria @ Ya, Muta Harah Hashim, Mazlan |
| author_sort | Hossain, Mohammad Shawkat |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The data gaps in the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Scan Line Corrector (SLC)-off imagery as a result of SLC failure are well recognized. The degradation introduced by their use in scientific applications is concerning to Landsat users. SLC-off data gaps cause problems in many applications of ETM+ images, but no literature reported the problem in seagrass mapping. To investigate the impact of SLC-off data loss on the seagrass information extraction, two types of data were compared: (a) data with interpolation after the SLC anomaly, termed the BInterpolation ON (ION)^, and (b) the data without interpolation, termed the BInterpolation OFF (IOFF)^ image, for the Sungai Pulai estuary seagrass meadows of Malaysia. Additionally, the random shifting of SLC-off stripes was tested by swipe analysis of SLC-off image pairs. Overall, the SLC-off scene analysis suggests that a gradual increase of data gaps from the central part toward the edge may cause a cumulative error of 2 % based on an object's distance from the nadir path. The random shifting of SLC-off stripes may be completely invisible if a single SLC-off stripe passes over a targeted small seagrass meadow such as the Tanjung Adang Laut shoal, which has a spatial extent of 11.07 ha. The data gaps eventually lead to misinterpretations and produce erroneous seagrass distribution maps. The coexistence of SLC-off stripes and their random shifting phenomenon have caused non-overlapping regions between SLC-off scenes acquired on different dates. Future research should develop suitable methods for gap-filling and resolve aquatic remote sensing mapping issues by using knowledge from the present research. |
| first_indexed | 2025-11-15T10:04:48Z |
| format | Article |
| id | upm-43868 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:04:48Z |
| publishDate | 2015 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-438682016-10-26T09:47:20Z http://psasir.upm.edu.my/id/eprint/43868/ Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping Hossain, Mohammad Shawkat Bujang, Japar Sidik Zakaria @ Ya, Muta Harah Hashim, Mazlan The data gaps in the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Scan Line Corrector (SLC)-off imagery as a result of SLC failure are well recognized. The degradation introduced by their use in scientific applications is concerning to Landsat users. SLC-off data gaps cause problems in many applications of ETM+ images, but no literature reported the problem in seagrass mapping. To investigate the impact of SLC-off data loss on the seagrass information extraction, two types of data were compared: (a) data with interpolation after the SLC anomaly, termed the BInterpolation ON (ION)^, and (b) the data without interpolation, termed the BInterpolation OFF (IOFF)^ image, for the Sungai Pulai estuary seagrass meadows of Malaysia. Additionally, the random shifting of SLC-off stripes was tested by swipe analysis of SLC-off image pairs. Overall, the SLC-off scene analysis suggests that a gradual increase of data gaps from the central part toward the edge may cause a cumulative error of 2 % based on an object's distance from the nadir path. The random shifting of SLC-off stripes may be completely invisible if a single SLC-off stripe passes over a targeted small seagrass meadow such as the Tanjung Adang Laut shoal, which has a spatial extent of 11.07 ha. The data gaps eventually lead to misinterpretations and produce erroneous seagrass distribution maps. The coexistence of SLC-off stripes and their random shifting phenomenon have caused non-overlapping regions between SLC-off scenes acquired on different dates. Future research should develop suitable methods for gap-filling and resolve aquatic remote sensing mapping issues by using knowledge from the present research. Springer 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43868/1/Assessment%20of%20the%20impact%20of%20Landsat%207%20Scan%20Line%20Corrector%20data%20gaps%20on%20Sungai%20Pulai%20Estuary%20seagrass%20mapping.pdf Hossain, Mohammad Shawkat and Bujang, Japar Sidik and Zakaria @ Ya, Muta Harah and Hashim, Mazlan (2015) Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping. Applied Geomatics, 7 (3). pp. 189-202. ISSN 1866-9298; ESSN: 1866-928X http://link.springer.com/article/10.1007/s12518-015-0162-3?view=classic 10.1007/s12518-015-0162-3 |
| spellingShingle | Hossain, Mohammad Shawkat Bujang, Japar Sidik Zakaria @ Ya, Muta Harah Hashim, Mazlan Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping |
| title | Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping |
| title_full | Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping |
| title_fullStr | Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping |
| title_full_unstemmed | Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping |
| title_short | Assessment of the impact of landsat 7 scan line corrector data gaps on Sungai Pulai Estuary seagrass mapping |
| title_sort | assessment of the impact of landsat 7 scan line corrector data gaps on sungai pulai estuary seagrass mapping |
| url | http://psasir.upm.edu.my/id/eprint/43868/ http://psasir.upm.edu.my/id/eprint/43868/ http://psasir.upm.edu.my/id/eprint/43868/ http://psasir.upm.edu.my/id/eprint/43868/1/Assessment%20of%20the%20impact%20of%20Landsat%207%20Scan%20Line%20Corrector%20data%20gaps%20on%20Sungai%20Pulai%20Estuary%20seagrass%20mapping.pdf |