Self-similar spatial clustering of wildland fires : the example of a large wildfire in Spain
Identifieur interne : 000C59 ( PascalFrancis/Checkpoint ); précédent : 000C58; suivant : 000C60Self-similar spatial clustering of wildland fires : the example of a large wildfire in Spain
Auteurs : C. Ricotta [Italie] ; R. Retzlaff [Allemagne]Source :
- International journal of remote sensing [ 0143-1161 ] ; 2000.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Incendie, Télédétection.
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Abstract
Euclidean analytical tools for quantifying the patchiness of complex natural patterns such as wildfires in general do not recognize that measures of object densities over the landscape vary as a function of the size of the spatial elements. Therefore, improved fractal statistical methods are needed to quantify patch structures in ways that capture the spatial variation of the analysed pattern in relation to scale. The aims of this research are to show first, that remotely sensed wildfire scars are fractal objects, and second, how the resulting fractal dimension can be interpreted to give insight into the dynamics of fire spread over the landscape.
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Retzlaff</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Remote Sensing Department, University of Trier, Behringstrasse</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>2 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><wicri:noRegion>Behringstrasse</wicri:noRegion><wicri:noRegion>54286 Trier</wicri:noRegion><orgName type="university">Université de Trèves</orgName><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">00-0297660</idno><date when="2000">2000</date><idno type="stanalyst">PASCAL 00-0297660 INIST</idno><idno type="RBID">Pascal:00-0297660</idno><idno type="wicri:Area/PascalFrancis/Corpus">000F33</idno><idno type="wicri:Area/PascalFrancis/Curation">000036</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000C59</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000C59</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Self-similar spatial clustering of wildland fires : the example of a large wildfire in Spain</title><author><name sortKey="Ricotta, C" sort="Ricotta, C" uniqKey="Ricotta C" first="C." last="Ricotta">C. Ricotta</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Plant Biology, University of Rome 'La Sapienza', Piazzale Aldo Moro 5</s1><s2>00185 Rome</s2><s3>ITA</s3><sZ>1 aut.</sZ></inist:fA14><country>Italie</country><placeName><settlement type="city">Rome</settlement><region nuts="2">Latium</region></placeName></affiliation></author><author><name sortKey="Retzlaff, R" sort="Retzlaff, R" uniqKey="Retzlaff R" first="R." last="Retzlaff">R. Retzlaff</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Remote Sensing Department, University of Trier, Behringstrasse</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>2 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><wicri:noRegion>Behringstrasse</wicri:noRegion><wicri:noRegion>54286 Trier</wicri:noRegion><orgName type="university">Université de Trèves</orgName><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName></affiliation></author></analytic><series><title level="j" type="main">International journal of remote sensing</title><title level="j" type="abbreviated">Int. j. remote sens.</title><idno type="ISSN">0143-1161</idno><imprint><date when="2000">2000</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">International journal of remote sensing</title><title level="j" type="abbreviated">Int. j. remote sens.</title><idno type="ISSN">0143-1161</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cuenca Spain</term><term>data processing</term><term>fires</term><term>fractal dimension</term><term>methodology</term><term>remote sensing</term><term>statistical analysis</term><term>vegetation</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Incendie</term><term>Végétation</term><term>Télédétection</term><term>Analyse statistique</term><term>Traitement donnée</term><term>Dimension fractale</term><term>Méthodologie</term><term>Province Cuenca</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Incendie</term><term>Télédétection</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Euclidean analytical tools for quantifying the patchiness of complex natural patterns such as wildfires in general do not recognize that measures of object densities over the landscape vary as a function of the size of the spatial elements. 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Ricotta</name></region></country><country name="Allemagne"><region name="Rhénanie-Palatinat"><name sortKey="Retzlaff, R" sort="Retzlaff, R" uniqKey="Retzlaff R" first="R." last="Retzlaff">R. Retzlaff</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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