A semi-automatic methodology to detect fire scars in shrubs and evergreen forests with Landsat MSS time series
This paper presents a semi-automatic methodology for fire scars mapping from a long time series of remote sensing data. Approximately, a hundred MSS images from different Landsat satellites were employed over an area of 32 100 km 2 in the north-east of the Iberian Peninsula. The analysed period was...
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Veröffentlicht in: | International journal of remote sensing 2000-01, Vol.21 (4), p.655-671 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper presents a semi-automatic methodology for fire scars mapping from a long time series of remote sensing data. Approximately, a hundred MSS images from different Landsat satellites were employed over an area of 32 100 km
2
in the north-east of the Iberian Peninsula. The analysed period was from 1975 to 1993. Results are a map series of fire history and frequencies. Omission errors are 23% for burned areas greater than 200 ha while commission errors are 8% for areas greater than 50 ha. Subsequent work based on the resultant fire scars will also help in describing fire regime and in monitoring post-fire regeneration dynamics. |
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ISSN: | 0143-1161 1366-5901 |
DOI: | 10.1080/014311600210498 |