Mapping seagrass from satellite remote sensing data
This paper reviews some early results on a method adopted in mapping seagrass using Landsat-5 Thematic Mapper data. Seagrass information was extracted from satellite remotely sensed data using depth invariant index (DII) where the sea bottom features were expressed as index (i.e. each bottom type wa...
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| Format: | Article |
| Language: | en |
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Asian Association on Remote Sensing
1997
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| Online Access: | http://eprints.utm.my/2161/1/acrs97_2.pdf http://eprints.utm.my/2161/ |
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| author | Rasib, Abd. Wahid Hashim, Mazlan |
| author_facet | Rasib, Abd. Wahid Hashim, Mazlan |
| author_sort | Rasib, Abd. Wahid |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper reviews some early results on a method adopted in mapping seagrass using Landsat-5 Thematic Mapper data. Seagrass information was extracted from satellite remotely sensed data using depth invariant index (DII) where the sea bottom features were expressed as index (i.e. each bottom type was represented by one index). DII was determined from radiance values recorded in band 1, 2 and 3 which taking into account the effect of water attenuation. Sea truth samples collected during the satellites overpass were used in calibrating DII and an independent accuracy assessment of information extracted. |
| format | Article |
| id | my.utm.eprints-2161 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 1997 |
| publisher | Asian Association on Remote Sensing |
| record_format | eprints |
| spelling | my.utm.eprints-21612011-12-05T08:52:50Z http://eprints.utm.my/2161/ Mapping seagrass from satellite remote sensing data Rasib, Abd. Wahid Hashim, Mazlan Q Science (General) GA Mathematical geography. Cartography TA Engineering (General). Civil engineering (General) This paper reviews some early results on a method adopted in mapping seagrass using Landsat-5 Thematic Mapper data. Seagrass information was extracted from satellite remotely sensed data using depth invariant index (DII) where the sea bottom features were expressed as index (i.e. each bottom type was represented by one index). DII was determined from radiance values recorded in band 1, 2 and 3 which taking into account the effect of water attenuation. Sea truth samples collected during the satellites overpass were used in calibrating DII and an independent accuracy assessment of information extracted. Asian Association on Remote Sensing 1997-11 Article NonPeerReviewed application/pdf en http://eprints.utm.my/2161/1/acrs97_2.pdf Rasib, Abd. Wahid and Hashim, Mazlan (1997) Mapping seagrass from satellite remote sensing data. Proceedings of Asian Conference on Remote Sensing 1997 . |
| spellingShingle | Q Science (General) GA Mathematical geography. Cartography TA Engineering (General). Civil engineering (General) Rasib, Abd. Wahid Hashim, Mazlan Mapping seagrass from satellite remote sensing data |
| title | Mapping seagrass from satellite remote sensing data |
| title_full | Mapping seagrass from satellite remote sensing data |
| title_fullStr | Mapping seagrass from satellite remote sensing data |
| title_full_unstemmed | Mapping seagrass from satellite remote sensing data |
| title_short | Mapping seagrass from satellite remote sensing data |
| title_sort | mapping seagrass from satellite remote sensing data |
| topic | Q Science (General) GA Mathematical geography. Cartography TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/2161/1/acrs97_2.pdf http://eprints.utm.my/2161/ |
| url_provider | http://eprints.utm.my/ |