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| Titel |
The use of NOAA/AVHRR satellite data for monitoring and assessment of forest fires and floods |
| VerfasserIn |
C. Domenikiotis, A. Loukas, N. R. Dalezios |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 3, no. 1/2 ; Nr. 3, no. 1/2, S.115-128 |
| Datensatznummer |
250000669
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| Publikation (Nr.) |
 copernicus.org/nhess-3-115-2003.pdf |
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| Zusammenfassung |
| The increasing
number of extreme natural phenomena, which are related to the climate
variability and are mainly caused by anthropogenic factors, escalate the
frequency and severity of natural disasters. Operational monitoring of
natural hazards and assessment of the affected area impose quick and
efficient methods based on large-scale data, readily available to the
agencies. The growing number of satellite systems and their capabilities
give rise to remote sensing applications to all types of natural
disasters, including forest fires and floods. Remote sensing techniques
can be used in all three aspects of disaster management viz: forecasting,
monitoring and damage assessment. The purpose of this paper is to
highlight the importance of satellite remote sensing for monitoring and
near-real time assessment of the affected by forest fires and floods
areas. As a tool, two satellite indices are presented, namely the
Normalized Difference Vegetation Index (NDVI) and the Surface Temperature
(ST), extracted by the meteorological satellite NOAA/AVHRR. In the first
part of the paper, a review of utilized techniques using NDVI and ST is
given. In the second part, the application of various methodologies to
three case studies are presented: the forest fire of 21–24 July 1995 in
Penteli Mountain near Athens and 16 September 1994 in Pelion Mountain in
Thessaly region, central Greece, and finally the flood of 17–23 October
1994 in Thessaly region, central Greece. For all studies the NDVI has been
utilized for hazard assessment. The method of ST has been applied to the
flood event in Thessaly, for the estimation of the areal extent of the
floods. As emerged from the studies, remote sensing data can be decisive
for monitoring and damage assessment, caused by forest fires and floods. |
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