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Seasonal differences assist in mapping granite outcrops using Landsat TM imagery across the Southwest Australian Floristic Region
Knowledge of the location and extent of granite outcrops (GOs) in the Southwest Australian Floristic Region is important to understand their role as refugia. We present a methodology to map GOs using biannual Landsat TM imagery. An adaptive vegetation cover mask capitalising on seasonal differences,...
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| Published in: | Journal of spatial science 2015-01, Vol.60 (1), p.37-49 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c358t-be8818e25a7b41549e7037261df4165fcda37e1b0cedd92cdecb23e8964f5a6d3 |
| container_end_page | 49 |
| container_issue | 1 |
| container_start_page | 37 |
| container_title | Journal of spatial science |
| container_volume | 60 |
| creator | Alibegovic, G. Schut, A.G.T. Wardell-Johnson, G.W. Robinson, T.P. |
| description | Knowledge of the location and extent of granite outcrops (GOs) in the Southwest Australian Floristic Region is important to understand their role as refugia. We present a methodology to map GOs using biannual Landsat TM imagery. An adaptive vegetation cover mask capitalising on seasonal differences, combined with a supervised classification, allowed differentiation of granite from other land covers on five GOs across the rainfall gradient. This methodology provided high classification accuracy (Overall Kappa ranged from 0.83 to 0.91) irrespective of location. Therefore, there is potential to use these methods to compile a more complete GO inventory over the region. |
| doi_str_mv | 10.1080/14498596.2014.952253 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 1449-8596 |
| ispartof | Journal of spatial science, 2015-01, Vol.60 (1), p.37-49 |
| issn | 1449-8596 1836-5655 |
| language | eng |
| recordid | cdi_wageningen_narcis_oai_library_wur_nl_wurpubs_477467 |
| source | Taylor and Francis Science and Technology Collection |
| subjects | band ratios biodiversity climate-change cover granite outcrops habitat refuges Landsat TM machine learning algorithms reflection radiometer aster refugia spaceborne thermal emission vegetation vegetation indices western-australia |
| title | Seasonal differences assist in mapping granite outcrops using Landsat TM imagery across the Southwest Australian Floristic Region |
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