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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)
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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 naturelRésumé : (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
in Geocarto international > vol 27 n° 4 (July 2012) . - pp 291 - 313[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 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)
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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] régressionRésumé : (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
in Geocarto international > vol 27 n° 4 (July 2012) . - pp 329 - 345[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012041 RAB Revue Centre de documentation En réserve L003 Disponible Discovering spatial patterns in origin-destination mobility data / D. Guo in Transactions in GIS, vol 16 n° 3 (June 2012)
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Titre : Discovering spatial patterns in origin-destination mobility data Type de document : Article/Communication Auteurs : D. Guo, Auteur ; Hongxiao Jin, Auteur ; C. Andris, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 411 - 429 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de groupement
[Termes IGN] analyse spatiale
[Termes IGN] base de données d'objets mobiles
[Termes IGN] cartographie des flux
[Termes IGN] distribution spatiale
[Termes IGN] données spatiotemporelles
[Termes IGN] Kouangtoung (Chine)
[Termes IGN] mobilité urbaine
[Termes IGN] modèle conceptuel de données spatio-temporelles
[Termes IGN] origine - destination
[Termes IGN] positionnement par GPS
[Termes IGN] trajectographie par GPS
[Termes IGN] transport urbain
[Termes IGN] véhicule automobileRésumé : (Auteur) Mobility and spatial interaction data have become increasingly available due to the wide adoption of location-aware technologies. Examples of mobility data include human daily activities, vehicle trajectories, and animal movements, among others. In this article, we focus on a special type of mobility data, i.e. origin-destination pairs, and present a new approach to the discovery and understanding of spatio-temporal patterns in the movements. Specifically, to extract information from complex connections among a large number of point locations, the approach involves two steps: (1) spatial clustering of massive GPS points to recognize potentially meaningful places; and (2) extraction and mapping of the flow measures of clusters to understand the spatial distribution and temporal trends of movements. We present a case study with a large dataset of taxi trajectories in Shenzhen, China to demonstrate and evaluate the methodology. The contribution of the research is two-fold. First, it presents a new methodology for detecting location patterns and spatial structures embedded in origin-destination movements. Second, the approach is scalable to large data sets and can summarize massive data to facilitate pattern extraction and understanding. Numéro de notice : A2012-282 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01344.x Date de publication en ligne : 28/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01344.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31728
in Transactions in GIS > vol 16 n° 3 (June 2012) . - pp 411 - 429[article]Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions / M. Cutler in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)
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Titre : Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions Type de document : Article/Communication Auteurs : M. Cutler, Auteur ; D. Boyd, Auteur ; Giles M. Foody, Auteur ; A. Vetrivel, Auteur Année de publication : 2012 Article en page(s) : pp 66 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] biomasse
[Termes IGN] biomasse (combustible)
[Termes IGN] Brésil
[Termes IGN] classification par réseau neuronal
[Termes IGN] déboisement
[Termes IGN] forêt tropicale
[Termes IGN] image JERS
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image radar
[Termes IGN] Malaisie
[Termes IGN] matrice de co-occurrence
[Termes IGN] niveau de gris (image)
[Termes IGN] ondelette
[Termes IGN] texture d'image
[Termes IGN] ThaïlandeRésumé : (Auteur) Quantifying the above ground biomass of tropical forests is critical for understanding the dynamics of carbon fluxes between terrestrial ecosystems and the atmosphere, as well as monitoring ecosystem responses to environmental change. Remote sensing remains an attractive tool for estimating tropical forest biomass but relationships and methods used at one site have not always proved applicable to other locations. This lack of a widely applicable general relationship limits the operational use of remote sensing as a method for biomass estimation, particularly in high biomass ecosystems. Here, multispectral Landsat TM and JERS-1 SAR data were used together to estimate tropical forest biomass at three separate geographical locations: Brazil, Malaysia and Thailand. Texture measures were derived from the JERS-1 SAR data using both wavelet analysis and Grey Level Co-occurrence Matrix methods, and coupled with multispectral data to provide inputs to artificial neural networks that were trained under four different training scenarios and validated using biomass measured from 144 field plots. When trained and tested with data collected from the same location, the addition of SAR texture to multispectral data showed strong correlations with above ground biomass (r = 0.79, 0.79 and 0.84 for Thailand, Malaysia and Brazil respectively). Also, when networks were trained and tested with data from all three sites, the strength of correlation (r = 0.55) was stronger than previously reported results from the same sites that used multispectral data only. Uncertainty in estimating AGB from different allometric equations was also tested but found to have little effect on the strength of the relationships observed. The results suggest that the inclusion of SAR texture with multispectral data can go someway towards providing relationships that are transferable across time and space, but that further work is required if satellite remote sensing is to provide robust and reliable methodologies for initiatives such as Reducing Emissions from Deforestation and Degradation (REDD+). Numéro de notice : A2012-289 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.03.011 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.03.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31735
in ISPRS Journal of photogrammetry and remote sensing > vol 70 (June 2012) . - pp 66 - 77[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012041 SL Revue Centre de documentation Revues en salle Disponible Understanding dynamics of large rivers aided by satellite remote sensing: a case study from Lower Ganga plains, India / R. Sinha in Geocarto international, vol 27 n° 3 (June 2012)
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Titre : Understanding dynamics of large rivers aided by satellite remote sensing: a case study from Lower Ganga plains, India Type de document : Article/Communication Auteurs : R. Sinha, Auteur ; S. Ghosh, Auteur Année de publication : 2012 Article en page(s) : pp 207 - 219 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] alluvion
[Termes IGN] analyse diachronique
[Termes IGN] barrage
[Termes IGN] Gange (fleuve)
[Termes IGN] géomorphologie locale
[Termes IGN] hydrodynamique
[Termes IGN] Inde
[Termes IGN] sédimentationRésumé : (Auteur) The advent of satellite remote sensing has provided a huge opportunity to geomorphologists to study the temporal dynamics of large rivers. The repetitive coverage of satellite data is an important archive to reconstruct historical-scale dynamics of large rivers and to understand the causal factors. In the lower reaches of the Ganga River around Farakka, natural as well as anthropogenic factors have influenced large-scale dynamics of the river during the last 234 years. The construction of the Farakka barrage was started in 1961 and was completed in 1971 except the feeder canal. The barrage was finally commissioned in 1975 but the serious problems of aggradation both upstream and downstream of the barrage had started much earlier resulting in significant changes in channel morphology and position. The channel upstream of the Farakka barrage has moved towards the east but channel shifting downstream of the Farakka barrage has been erratic. We argue that sedimentological readjustments due to aggradation and bar growth are the major factors influencing the river dynamics in this region. Numéro de notice : A2012-247 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.620180 Date de publication en ligne : 26/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.620180 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31693
in Geocarto international > vol 27 n° 3 (June 2012) . - pp 207 - 219[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Use of high-resolution satellite imagery for investigating acid mine drainage from artisanal coal mining in North-Eastern India / B. Blahwar in Geocarto international, vol 27 n° 3 (June 2012)
PermalinkPotential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation / M. Sarker in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)
PermalinkUAV flight over Singapore: a pilot study / Armin W. Gruen in Geoinformatics, vol 15 n° 3 (01/04/2012)
PermalinkUtilisation du GPS pour l'étude du séisme de Tohoku-Oki (11 mars 2011) [diaporama] / Lucie Rolland (08/03/2012)
PermalinkBuilding-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake / X. Tong in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
PermalinkCharacterization of forests and deforestation in Cambodia using ALOS/PALSAR observation / R. Avtar in Geocarto international, vol 27 n° 2 (March 2012)
PermalinkExposure estimation from multi-resolution optical satellite imagery for seismic risk assessment / Marc Wieland in ISPRS International journal of geo-information, vol 1 n°1 (March 2012)
PermalinkGPS snow depth meter with geometry-free linear combinations of carrier phases / M. Ozeki in Journal of geodesy, vol 86 n° 3 (March 2012)
PermalinkLe Japon, ressources cartographiques à la BnF / Guillaume Lebailly in Carto, le monde en cartes, n° 10 (mars - avril 2012)
PermalinkMathematical morphology-based generalization of complex 3D building models incorporating semantic relationships / J. Zhao in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
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