Mapping snow-algae in Antarctic Peninsula with multi-temporal satellite remote sensing data
This article reports on the use of selected spectral image transform technique for detecting and mapping of snow algae growth using multi-temporal Landsat Thematic Mapper (TM), archived from early 80's to the recent Landsat-8 Operational Land Imager (OLI) acquired in March 2015. In-situ spectra...
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| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/72967/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007417687&doi=10.1109%2fIGARSS.2016.7730360&partnerID=40&md5=6b24190a0ce6258b5df48f04b2dba6e8 |
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| Summary: | This article reports on the use of selected spectral image transform technique for detecting and mapping of snow algae growth using multi-temporal Landsat Thematic Mapper (TM), archived from early 80's to the recent Landsat-8 Operational Land Imager (OLI) acquired in March 2015. In-situ spectral radiometry samples during UTM-Antarctica summer 2015 expedition were used in air-to-ground correlation of the corresponding satellite data sets, later yield to retrieve snow algae occurrences in 2009-2015 summer. Multi-temporal analysis of the snow-vegetation growth extents extracted was then compared to against the climate-change effects of the corresponding area in Antarctic Peninsula. Hence, the indicator for snow-vegetation growth as effects of the climate-change could be inferred. Results indicated good agreement (Pearson's coefficient r=0.85, p<0.01) between snow-vegetation growth extent with the temperature changes measured in the corresponding area. Recent in-situ verification of the selected sites in the region confirmed the agreements. |
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