A semi-automatic methodology to detect fire scars in shrubs and evergreen forests with Landsat MSS time series

R. Salvador, J. Valeriano, X. Pons, R. Diaz-Delgado

Research output: Contribution to journalArticleResearchpeer-review

79 Citations (Scopus)

Abstract

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 km2 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. © 2000 Taylor & Francis Group, LLC.
Original languageEnglish
Pages (from-to)655-671
JournalInternational Journal of Remote Sensing
Volume21
DOIs
Publication statusPublished - 1 Jan 2000

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