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Spatial modelling of wildland fire danger for risk analysis and conflict resolution in Malaysia : linking Fire Danger Rating Systems (FDRS) with Wildfire Threat Rating Systems (WTRS) / H. Assilzadeh in Geocarto international, vol 27 n° 4 (July 2012)  

Public [article]  inGeocarto international > vol 27 n° 4 (July 2012) . - pp 291 - 313 Titre : Spatial modelling of wildland fire danger for risk analysis and conflict resolution in Malaysia : linking Fire Danger Rating Systems (FDRS) with Wildfire Threat Rating Systems (WTRS) Type de document : Article/Communication Auteurs : H. Assilzadeh, Auteur ; W. De Groot, Auteur ; J. Lévy, Auteur Année de publication : 2012 Article en page(s) : pp 291 - 313 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] caractérisation [Termes IGN] gestion de crise [Termes IGN] image SPOT 4 [Termes IGN] incendie de forêt [Termes IGN] lutte contre l'incendie [Termes IGN] Malaisie [Termes IGN] risque naturel Résumé : (Auteur) This study provides a comprehensive framework to mitigate or prevent forest and land (or wildland) fire disaster in Malaysia. This system supports emergency response and preparedness for wildland fire by means of integrated modelling, monitoring and mapping of fire danger. In this framework, multi-sensor applications for monitoring fire danger and fire activity are linked with decision-aid models in a Geographic Information System (GIS) environment to generate information required for wildland fire management. Using a customized version of the spatial Fire Management System software, components of the Malaysia Fire Danger Rating System (FDRS) are calculated to provide fire weather, fire behaviour and wildfire threat information. Wildfire threat ratings (WTRs) are assessed on the basis of fire occurrence risk, potential fire behaviour, suppression capability and values at risk. Outputs from the Malaysia FDRS were integrated with hotspots extracted from remote sensing data to generate combined maps of active fire locations, fire danger, potential fire behaviour and uncontrolled wildland fire (or wildfire) threat. In case of wildfire, remotely sensed data were also used to generate wildfire affected area and emergency response maps for emergency management. The system architecture and application models for wildfire analysis, which aid decision-making components for wildfire mitigation and relief, are described. These include early warning of fire, risk analysis, damage assessment and emergency response analysis. This article provides the first documentation of a national, operational system linking fire danger rating with socio-economic values, as defined by the WTR models, to guide fire and rescue decision-making during wildfire events. It is finally shown how the proposed system can reduce the risk offire management disputes in Malaysia by directing the conflict to a more favourable resolution. Numéro de notice : A2012-332 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.604433 Date de publication en ligne : 13/02/2012 En ligne : https://doi.org/10.1080/10106049.2011.604433 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31778 [article]

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059-2012041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Assessment of quality of life in Uttarakhand, India using geospatial techniques / K.R. Rao in Geocarto international, vol 27 n° 4 (July 2012)  

Public [article]  inGeocarto international > vol 27 n° 4 (July 2012) . - pp 315 - 328 Titre : Assessment of quality of life in Uttarakhand, India using geospatial techniques Type de document : Article/Communication Auteurs : K.R. Rao, Auteur ; Y. Kant, Auteur ; N. Gahlaut, Auteur ; P.S. Roy, Auteur Année de publication : 2012 Article en page(s) : pp 315 - 328 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] base de données répartie [Termes IGN] données socio-économiques [Termes IGN] image Landsat-MSS [Termes IGN] Mapserver [Termes IGN] montagne [Termes IGN] qualité de vie [Termes IGN] température au sol [Termes IGN] Uttarakhand (Inde ; état) Résumé : (Auteur) Uttarakhand state, located in northern India, has a total geographic area of 51,125km2. Ninety-three per cent of the state is mountainous whereas 64% is forested area, and the cities of the region has different living standards. The Quality of Life (QOL) is assessed in the state by using remote sensing-derived parameters along with the census data warehouse in geospatial environment. The study develops a methodology to measure the QOL in the state using geospatial techniques. The study addresses use of Landsat MSS satellite imagery to estimate environmental parameters like vegetation fraction, impervious surface fraction and land surface temperature. Census of India details were integrated along with remote sensing data-derived parameters in the GIS environment. Factor analysis was conducted to interpret the input parameters for the assessment of QOL index. In this process, three indices were generated (crowdedness, greenness and economic indices). These indices were further processed to estimate the overall QOL index of Uttarakhand. All types of spatial maps were published in the distributed environment using open source internet GIS technologies. Numéro de notice : A2012-333 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.627470 Date de publication en ligne : 06/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.627470 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31779 [article]

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059-2012041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass / T.M. Basuki in Geocarto international, vol 27 n° 4 (July 2012)  

Public [article]  inGeocarto international > vol 27 n° 4 (July 2012) . - pp 329 - 345 Titre : The potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass Type de document : Article/Communication Auteurs : T.M. Basuki, Auteur ; Andrew K. Skidmore, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 329 - 345 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] biomasse [Termes IGN] estimation statistique [Termes IGN] forêt tropicale [Termes IGN] image Landsat-ETM+ [Termes IGN] Indonésie [Termes IGN] régression Résumé : (Auteur) A main limitation of pixel-based vegetation indices or reflectance values for estimating above-ground biomass is that they do not consider the mixed spectral components on the earth's surface covered by a pixel. In this research, we decomposed mixed reflectance in each pixel before developing models to achieve higher accuracy in above-ground biomass estimation. Spectral mixture analysis was applied to decompose the mixed spectral components of Landsat-7 ETM+ imagery into fractional images. Afterwards, regression models were developed by integrating training data and fraction images. The results showed that the spectral mixture analysis improved the accuracy of biomass estimation of Dipterocarp forests. When applied to the independent validation data set, the model based on the vegetation fraction reduced 5–16% the root mean square error compared to the models using a single band 4 or 5, multiple bands 4, 5, 7 and all non-thermal bands of Landsat ETM+. Numéro de notice : A2012-334 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.634928 Date de publication en ligne : 05/12/2011 En ligne : https://doi.org/10.1080/10106049.2011.634928 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31780 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2012041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Dynamics of coastal landform features along the southern Tamil Nadu of India by using remote sensing and Geographic Information System / P. Mujabar in Geocarto international, vol 27 n° 4 (July 2012)  

Public [article]  inGeocarto international > vol 27 n° 4 (July 2012) . - pp 347 - 370 Titre : Dynamics of coastal landform features along the southern Tamil Nadu of India by using remote sensing and Geographic Information System Type de document : Article/Communication Auteurs : P. Mujabar, Auteur ; N. Chandrasekar, Auteur Année de publication : 2012 Article en page(s) : pp 347 - 370 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] carte d'occupation du sol [Termes IGN] classification par maximum de vraisemblance [Termes IGN] détection de changement [Termes IGN] érosion anthropique [Termes IGN] érosion côtière [Termes IGN] image IRS [Termes IGN] littoral [Termes IGN] Tamil Nadu (Inde ; état) Résumé : (Auteur) This article reveals an application of multi-spectral satellite data for analysing the dynamics of different coastal landform features along the southern coastal Tamil Nadu of India. An integrated approach comprising visual image interpretation and maximum-likelihood supervised classification has been employed to classify the coastal landforms by using IRS data (during the period 1999–2006). The quality of image classification has been assessed by performing the accuracy assessments with the existing thematic maps and finally the coastal landforms have been mapped. The study reveals that the dynamics of coastal landforms such as sandy beaches, mud-flats, sand dunes and salt marshes along the study area are mostly influenced by the coastal processes, sediment transport, geomorphology and anthropogenic activities. Major anthropogenic sources for the perturbation of beach sediment budgets and a cause of beach erosion along the study area are excessive sand mining, removal of sand dunes, coastal urbanization, tourism and developmental activities. Numéro de notice : A2012-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.638988 Date de publication en ligne : 06/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.638988 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31781 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2012041	RAB	Revue	Centre de documentation	En réserve L003	Disponible