Paper
14 March 2003 Observations of forest fires and of their consequences by moderate resolution satellite data in combination with European CORINE Land Cover data
Author Affiliations +
Abstract
Our paper describes an operational application of NOAA-AVHRR satellite imagery in combination with satellite-based land cover data for comprehensive observation and follow-up of 10 000 fire outbreak and of their consequences in Greece during summer 2000. At a first stage, we acquired and processed satellite images on a daily basis and we interpreted them in view to smoke-plume tracking and fire-core detection at national level. Information was acquired eight times per day and derived from all AVHRR spectral channels. At a second stage, we assessed the consequences of the fires by producing burnt-area maps on the basis of multi-annual normalised vegetation indexes using again AVHRR data but this time in combination with the European CORINE Land Cover database (CLC). The derived burnt-area maps compared successfully to the in-situ inventories available for that year. Our results showed burnt area estimates with an accuracy ranging from 88% to 95%, depending on the predominant land-cover type. These results, along with the very low cost and hi-acquisition frequency of AVHRR satellite imagery, suggest that the combination of moderate resolution satellite data with harmonised CLC data can be applied operationally for forest fire and post-fire assessments at national and at pan-European levels.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicolaos Sifakis, Iphigenia Keramitsoglou, and Dimitris Paronis "Observations of forest fires and of their consequences by moderate resolution satellite data in combination with European CORINE Land Cover data", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.463277
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KEYWORDS
Satellites

Satellite imaging

Earth observing sensors

Agriculture

Vegetation

Image resolution

Databases

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