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GIS and machine learning for analysing influencing factors of bushfires using 40-year spatio-temporal bushfire data / Wanqin He in ISPRS International journal of geo-information, vol 11 n° 6 (June 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 6 (June 2022) . - n° 336 Titre : GIS and machine learning for analysing influencing factors of bushfires using 40-year spatio-temporal bushfire data Type de document : Article/Communication Auteurs : Wanqin He, Auteur ; Sara Shirowzhan, Auteur ; Christopher Pettit, Auteur Année de publication : 2022 Article en page(s) : n° 336 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse diachronique [Termes IGN] apprentissage automatique [Termes IGN] brousse [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] coefficient de corrélation [Termes IGN] données météorologiques [Termes IGN] données spatiotemporelles [Termes IGN] humidité du sol [Termes IGN] incendie [Termes IGN] indice de végétation [Termes IGN] Nouvelle-Galles du Sud [Termes IGN] prévention des risques [Termes IGN] régression linéaire [Termes IGN] Spark [Termes IGN] système d'information géographique [Termes IGN] température de l'air Résumé : (auteur) The causes of bushfires are extremely complex, and their scale of burning and probability of occurrence are influenced by the interaction of a variety of factors such as meteorological factors, topography, human activity and vegetation type. An in-depth understanding of the combined mechanisms of factors affecting the occurrence and spread of bushfires is needed to support the development of effective fire prevention plans and fire suppression measures and aid planning for geographic, ecological maintenance and urban emergency management. This study aimed to explore how bushfires, meteorological variability and other natural factors have interacted over the past 40 years in NSW Australia and how these influencing factors synergistically drive bushfires. The CSIRO’s Spark toolkit has been used to simulate bushfire burning spread over 24 h. The study uses NSW wildfire data from 1981–2020, combined with meteorological factors (temperature, precipitation, wind speed), vegetation data (NDVI data, vegetation type) and topography (slope, soil moisture) data to analyse the relationship between bushfires and influencing factors quantitatively. Machine learning-random forest regression was then used to determine the differences in the influence of bushfire factors on the incidence and burn scale of bushfires. Finally, the data on each influence factor was imported into Spark, and the results of the random forest model were used to set different influence weights in Spark to visualise the spread of bushfires burning over 24 h in four hotspot regions of bushfire in NSW. Wind speed, air temperature and soil moisture were found to have the most significant influence on the spread of bushfires, with the combined contribution of these three factors exceeding 60%, determining the spread of bushfires and the scale of burning. Precipitation and vegetation showed a greater influence on the annual frequency of bushfires. In addition, burn simulations show that wind direction influences the main direction of fire spread, whereas the shape of the flame front is mainly due to the influence of land classification. Besides, the simulation results from Spark could predict the temporal and spatial spread of fire, which is a potential decision aid for fireproofing agencies. The results of this study can inform how fire agencies can better understand fire occurrence mechanisms and use bushfire prediction and simulation techniques to support both their operational (short-term) and strategic (long-term) fire management responses and policies. Numéro de notice : A2022-481 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11060336 Date de publication en ligne : 05/06/2022 En ligne : https://doi.org/10.3390/ijgi11060336 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100894 [article]

Attribution of the Australian bushfire risk to anthropogenic climate change / Geert Jan Van Oldenborgh in Natural Hazards and Earth System Sciences, vol 21 n° 3 (March 2021)  

Public [article]  inNatural Hazards and Earth System Sciences > vol 21 n° 3 (March 2021) . - pp 941 - 960 Titre : Attribution of the Australian bushfire risk to anthropogenic climate change Type de document : Article/Communication Auteurs : Geert Jan Van Oldenborgh, Auteur ; Folmer Krikken, Auteur ; Sophie Lewis, Auteur Année de publication : 2021 Article en page(s) : pp 941 - 960 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse des risques [Termes IGN] brousse [Termes IGN] changement climatique [Termes IGN] incendie [Termes IGN] modèle météorologique [Termes IGN] planification [Termes IGN] prévention des risques [Termes IGN] série temporelle [Termes IGN] température au sol [Termes IGN] utilisation du sol Résumé : (auteur) Disastrous bushfires during the last months of 2019 and January 2020 affected Australia, raising the question to what extent the risk of these fires was exacerbated by anthropogenic climate change. To answer the question for southeastern Australia, where fires were particularly severe, affecting people and ecosystems, we use a physically based index of fire weather, the Fire Weather Index; long-term observations of heat and drought; and 11 large ensembles of state-of-the-art climate models. We find large trends in the Fire Weather Index in the fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) Atmospheric Reanalysis (ERA5) since 1979 and a smaller but significant increase by at least 30 % in the models. Therefore, we find that climate change has induced a higher weather-induced risk of such an extreme fire season. This trend is mainly driven by the increase of temperature extremes. In agreement with previous analyses we find that heat extremes have become more likely by at least a factor of 2 due to the long-term warming trend. However, current climate models overestimate variability and tend to underestimate the long-term trend in these extremes, so the true change in the likelihood of extreme heat could be larger, suggesting that the attribution of the increased fire weather risk is a conservative estimate. We do not find an attributable trend in either extreme annual drought or the driest month of the fire season, September–February. The observations, however, show a weak drying trend in the annual mean. For the 2019/20 season more than half of the July–December drought was driven by record excursions of the Indian Ocean Dipole and Southern Annular Mode, factors which are included in the analysis here. The study reveals the complexity of the 2019/20 bushfire event, with some but not all drivers showing an imprint of anthropogenic climate change. Finally, the study concludes with a qualitative review of various vulnerability and exposure factors that each play a role, along with the hazard in increasing or decreasing the overall impact of the bushfires. Numéro de notice : A2021-395 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5194/nhess-21-941-2021 Date de publication en ligne : 11/03/2021 En ligne : https://doi.org/10.5194/nhess-21-941-2021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97684 [article]

Registration of aerial imagery and lidar data in desert areas using the centroids of bushes as control information / Na Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 8 (August 2013) . - pp 743 - 752 Titre : Registration of aerial imagery and lidar data in desert areas using the centroids of bushes as control information Type de document : Article/Communication Auteurs : Na Li, Auteur ; Xianfeng Huang, Auteur ; Fan Zhang, Auteur ; Le Wang, Auteur Année de publication : 2013 Article en page(s) : pp 743 - 752 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] appariement de données localisées [Termes IGN] brousse [Termes IGN] centroïde [Termes IGN] désert [Termes IGN] données lidar [Termes IGN] Gobi, désert du [Termes IGN] image aérienne [Termes IGN] Ransac (algorithme) [Termes IGN] semis de points Résumé : (Auteur) Geometric registration of multiple-source data is of great value for fusion processing and is very beneficial for the research of desert ecosystems. A lidar point cloud and optical image are two typical data that need to be integrated for data assimilation and information retrieval. This paper aims to solve the registration problem of aerial imagery and airborne lidar data in desert areas where traditional registration methods have difficulties in identifying registration primitives. In many deserts, such as the Sahara in Africa and Gobi in China, we observe that there are unevenly distributed desert bushes, which can be used as cues for registration. In this paper, we propose a registration approach using the centroids of bushes as registration primitives. This approach employs similar triangles created from both centroids as the evidence for matching and verifies the registration by the RANSAC algorithm. Experiments using data taken from the Dunhuang Gobi Desert in China show the registration surface model visually, and at the same time quantifies the deviation error, which corroborates that the proposed registration method is effective and feasible in desert areas. Numéro de notice : A2013-427 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.8.731 En ligne : https://doi.org/10.14358/PERS.79.8.731 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32565 [article]

Des structures paysagères à la dynamique des feux : Essai de typologie régionale des campagnes pyrophiles de l’ouest du Burkina Faso / S. Caillault in Revue internationale de géomatique, vol 21 n° 3 (septembre - novembre 2011)  

Public [article]  inRevue internationale de géomatique > vol 21 n° 3 (septembre - novembre 2011) . - pp 341 - 357 Titre : Des structures paysagères à la dynamique des feux : Essai de typologie régionale des campagnes pyrophiles de l’ouest du Burkina Faso Type de document : Article/Communication Auteurs : S. Caillault, Auteur ; Daniel Delahaye, Auteur Année de publication : 2011 Article en page(s) : pp 341 - 357 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] brousse [Termes IGN] brûlis [Termes IGN] Burkina Faso [Termes IGN] occupation du sol [Termes IGN] paysage agricole [Termes IGN] savane Résumé : (Auteur) Le feu est un facteur essentiel des dynamiques à l’œuvre dans les campagnes soudaniennes de l’Afrique de l’ouest. S’il est une variable écologique majeure des savanes, il révèle les paysages où les brousses pyrophiles sont encore présentes malgré l’intensification agricole. Cet élément clé des espaces soudaniens est ici abordé via une entrée matérielle, visant à replacer cette pratique locale au regard des processus locaux. Par une approche d’analyse spatiale, nous proposons une typologie des paysages régionaux pour appréhender les déterminants du feu à différents niveaux scalaires. Au niveau local, la morphologie conditionne les structures du paysage mais aussi la temporalité des feux. A une échelle plus large, la localisation des espaces et leur insertion dans les territoires protégés dévoilent le rôle prépondérant des aménagements contemporains sur la dynamique actuelle des feux. Ce travail propose une organisation hiérarchique des facteurs affectant les feux, du local vers le régional, en insistant sur l’articulation des dynamiques agissant à des échelles temporelles distinctes. Numéro de notice : A2011-397 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/rig.15.341-357 En ligne : https://doi.org/10.3166/rig.15.341-357 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31176 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
047-2011031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Attempting to detect and record brushland in the northeastern United States using MSS data : Schoharie county, NY, as a case study / P.R. Baumann in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 3 (march 1990)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 56 n° 3 (march 1990) . - pp 387 - 391 Titre : Attempting to detect and record brushland in the northeastern United States using MSS data : Schoharie county, NY, as a case study Type de document : Article/Communication Auteurs : P.R. Baumann, Auteur Année de publication : 1990 Article en page(s) : pp 387 - 391 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] brousse [Termes IGN] couvert végétal [Termes IGN] image Landsat-MSS [Termes IGN] image multibande [Termes IGN] New York (Etats-Unis ; état) [Termes IGN] occupation du sol [Termes IGN] traitement d'image Numéro de notice : A1990-122 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/1990journal/mar/1990_mar_387-391.p [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=25538 [article]