Descripteur
Termes IGN > 1- Outils - instruments et méthodes
1- Outils - instruments et méthodes |
Documents disponibles dans cette catégorie (9946)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
Etendre la recherche sur niveau(x) vers le bas
A GIS-remote sensing approach for forest fire risk assessment: case of Bizerte region, Tunisia / Salwa Saidi in Applied geomatics, vol 13 n° 4 (December 2021)
![]()
[article]
Titre : A GIS-remote sensing approach for forest fire risk assessment: case of Bizerte region, Tunisia Type de document : Article/Communication Auteurs : Salwa Saidi, Auteur ; Alaeddine Ben Younes, Auteur ; Brice Anselme, Auteur Année de publication : 2021 Article en page(s) : pp 587–603 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] Bizerte (Tunisie)
[Termes IGN] cartographie des risques
[Termes IGN] changement climatique
[Termes IGN] incendie de forêt
[Termes IGN] indice de risque
[Termes IGN] outil d'aide à la décision
[Termes IGN] prévention des risques
[Termes IGN] système d'information géographiqueRésumé : (auteur) In this era of climate change and global warming, forest fires are increasing around the world and especially in areas with arid and semi-arid climate. Hence, prevention is vital and it is considered as the best solution to protect forest areas. This paper presents a multi-criteria approach for the assessment and mapping of fire risk using three indicators: topomorphology index, climatic index, and human one. For each indicator, sub-indicators such as slope, morphology, exposure, number of fires, groundwater reserve, and evapotranspiration are chosen to generate a forest fire risk index in Bizerte region. Spatial data on all these indicators have been aggregated and organized in a geographic information system (GIS) framework. Results show that 33% of the total area of Bizerte forest is highly vulnerable to fire risk and an increasing of risk from 2013 to 2016. Sensitivity analyses indicated that the removal of the climatic (ICL) and the human indexes (HI) from the forest fire risk index causes large variation in the risk assessment. As a consequence, it should have higher weights than other indicators, which proves that triggering of wildfires is in the whole part caused by human activities and accelerated by climatic conditions. The remote sensing approach using NBR index confirms that severity of burned area increases throughout the time and the most changes are observed in the Northeast of Bizerte forest. These results can serve as a planning tool for decision makers to save the lives of residents and forest resources. Numéro de notice : A2021-857 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1007/s12518-021-00369-0 Date de publication en ligne : 03/06/2021 En ligne : https://doi.org/10.1007/s12518-021-00369-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99065
in Applied geomatics > vol 13 n° 4 (December 2021) . - pp 587–603[article]How geographic and climatic factors affect the adaptation of Douglas-fir provenances to the temperate continental climate zone in Europe / Marzena Niemczyk in European Journal of Forest Research, vol 140 n° 6 (December 2021)
![]()
[article]
Titre : How geographic and climatic factors affect the adaptation of Douglas-fir provenances to the temperate continental climate zone in Europe Type de document : Article/Communication Auteurs : Marzena Niemczyk, Auteur ; Daniel J. Chmura, Auteur ; Jarosław Socha, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 1341 - 1361 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] adaptation (biologie)
[Termes IGN] Amérique du nord
[Termes IGN] analyse de variance
[Termes IGN] analyse diachronique
[Termes IGN] climat tempéré
[Termes IGN] croissance des arbres
[Termes IGN] diamètre à hauteur de poitrine
[Termes IGN] gelée
[Termes IGN] graine
[Termes IGN] modélisation de la forêt
[Termes IGN] Pologne
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] régénération (sylviculture)
[Termes IGN] sécheresse
[Termes IGN] variation saisonnière
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) The contribution of Douglas-fir (Df) to European forests is likely to increase as the species is a potential adaptation option to climate change. In this study, we investigated growth and survival of Df seed sources to fill a knowledge gap regarding recommendations for the future use of Df provenances in Poland. Our experimental test site represents the most continental climate among all Df trials installed in the IUFRO 1966–67 test series in Europe. At this unique single site, we evaluated the performance of 46 Df provenances from North America, and nine local landraces of unknown origin. Repeated measurements of tree diameter, height, and volume were analysed, to age 48, representing integrated responses to geographic and climatic conditions. Significant variation in survival and productivity-related traits were found, with the interior Df provenances performing best, in contrast to previous European reports. The higher survivability and volume of the interior provenances resulted from their superior frost resistance. The low precipitation seasonality at the location of seed origin provided an additional advantage to the trees at the test site. Geographic and climatic factors of seed origin explained most of the variation in productivity (77 and 64%, respectively). The tested landraces exhibited diverse performance, implying that naturalized local seed sources in Poland need improvement and perhaps enrichment with new genetic material from North America, while considering geography and climate. Assisted migration programs should consider the limitations imposed by both frost and drought events in guiding future Df selections for continental climates. Further field testing, early greenhouse screening and DNA testing are also recommended. Numéro de notice : A2021-837 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s10342-021-01398-5 Date de publication en ligne : 22/07/2021 En ligne : https://doi.org/10.1007/s10342-021-01398-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99017
in European Journal of Forest Research > vol 140 n° 6 (December 2021) . - pp 1341 - 1361[article]Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment / Ali Azareh in Geocarto international, vol 36 n° 20 ([01/12/2021])
![]()
[article]
Titre : Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment Type de document : Article/Communication Auteurs : Ali Azareh, Auteur ; Elham Rafiei Sardooi, Auteur ; Bahram Choubin, Auteur ; Saeed Barkhori, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2345 - 2365 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse des risques
[Termes IGN] analyse multicritère
[Termes IGN] bassin hydrographique
[Termes IGN] cartographie des risques
[Termes IGN] classification floue
[Termes IGN] crue
[Termes IGN] gestion des risques
[Termes IGN] inondation
[Termes IGN] Iran
[Termes IGN] logique floue
[Termes IGN] risque naturel
[Termes IGN] zone à risqueRésumé : (auteur) Floods are among the most frequently occurring natural disasters and the costliest in terms of human life and ecosystem disturbance. Identifying areas susceptible to flooding is important for developing appropriate watershed management policies. As such, the goal of the present study was to develop an integrated framework for flood susceptibility assessment in data-scarce regions, using data from the Haraz watershed in Iran. Flood-influencing indices best suited to the identification of areas particularly prone to flooding were selected. The decision-making trial and evaluation laboratory (DEMATEL) approach was used to investigate the interdependence among criteria and to develop a network structure representative of the problem. The relative importance of different flood-influencing factors was determined using the analytical network process (ANP). A flood susceptibility map was produced using weights obtained through the ANP and fuzzy-value function (FVF) and validated using 72 available flood locations where flooding occurred between 2006 and 2018. After validating the results, fuzzy theory served to better delineate the flood susceptibility scores among the region’s sub-watersheds. Incorporating the DEMATEL-ANP approach with FVF yielded an accuracy of 89.1%, as was assessed through the area under the curve (AUC) of a receiver operating characteristics (ROC) curve. The results indicated that the strongest flood-influencing (occurrence/nonoccurrence) factors were elevation, land use, soil texture, and frequency of heavy rainstorms. The fuzzy theory showed sub-watershed C1 to be highly susceptible to flooding, and thus, most in need of flood management. Numéro de notice : A2021-833 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1695958 Date de publication en ligne : 28/11/2019 En ligne : https://doi.org/10.1080/10106049.2019.1695958 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99006
in Geocarto international > vol 36 n° 20 [01/12/2021] . - pp 2345 - 2365[article]Lithological mapping based on fully convolutional network and multi-source geological data / Ziye Wang in Remote sensing, vol 13 n° 23 (December-1 2021)
![]()
[article]
Titre : Lithological mapping based on fully convolutional network and multi-source geological data Type de document : Article/Communication Auteurs : Ziye Wang, Auteur ; Renguang Zuo, Auteur ; Hao Liu, Auteur Année de publication : 2021 Article en page(s) : n° 4860 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] apprentissage profond
[Termes IGN] carte géologique
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] données géologiques
[Termes IGN] fusion de données multisource
[Termes IGN] Himalaya
[Termes IGN] lithologie
[Termes IGN] segmentation sémantiqueRésumé : (auteur) Deep learning algorithms have found numerous applications in the field of geological mapping to assist in mineral exploration and benefit from capabilities such as high-dimensional feature learning and processing through multi-layer networks. However, there are two challenges associated with identifying geological features using deep learning methods. On the one hand, a single type of data resource cannot diagnose the characteristics of all geological units; on the other hand, deep learning models are commonly designed to output a certain class for the whole input rather than segmenting it into several parts, which is necessary for geological mapping tasks. To address such concerns, a framework that comprises a multi-source data fusion technology and a fully convolutional network (FCN) model is proposed in this study, aiming to improve the classification accuracy for geological mapping. Furthermore, multi-source data fusion technology is first applied to integrate geochemical, geophysical, and remote sensing data for comprehensive analysis. A semantic segmentation-based FCN model is then constructed to determine the lithological units per pixel by exploring the relationships among multi-source data. The FCN is trained end-to-end and performs dense pixel-wise prediction with an arbitrary input size, which is ideal for targeting geological features such as lithological units. The framework is finally proven by a comparative study in discriminating seven lithological units in the Cuonadong dome, Tibet, China. A total classification accuracy of 0.96 and a high mean intersection over union value of 0.9 were achieved, indicating that the proposed model would be an innovative alternative to traditional machine learning algorithms for geological feature mapping. Numéro de notice : A2021-878 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs13234860 Date de publication en ligne : 30/11/2021 En ligne : https://doi.org/10.3390/rs13234860 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99146
in Remote sensing > vol 13 n° 23 (December-1 2021) . - n° 4860[article]
[article]
Titre : Le Mont-Blanc mesuré au LiDAR héliporté Type de document : Article/Communication Auteurs : Mathieu Peyréga, Auteur Année de publication : 2021 Article en page(s) : pp 33 - 40 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] calotte glaciaire
[Termes IGN] données altimétriques
[Termes IGN] données GNSS
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] hélicoptère
[Termes IGN] modèle numérique de terrain
[Termes IGN] Mont-Blanc, massif du
[Termes IGN] précision des données
[Termes IGN] sommet (relief)
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Nous présentons une mesure de l’altitude du sommet du mont Blanc et du volume de sa calotte par méthode LiDAR héliporté de très haute densité. Cette méthode alternative aux expéditions d’alpinistes et aux techniques topographiques classiques permet une mesure de précision équivalente. Le bilan d’incertitude est présenté et rappelle que la source d’erreur principale est la propagation troposphérique, commune à la méthode GNSS terrestre mise en œuvre depuis une vingtaine d’années pour le suivi de ce sommet emblématique. Cette mesure réalisée à une quinzaine de jours d’intervalle de l’expédition traditionnelle permet également de donner une indication sur la stabilité à court terme des valeurs calculées. Numéro de notice : A2021-849 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99179
in XYZ > n° 169 (décembre 2021) . - pp 33 - 40[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 112-2021041 RAB Revue Centre de documentation En réserve L003 Disponible National scale mapping of larch plantations for Wales using the Sentinel-2 data archive / Suvarna M. Punalekar in Forest ecology and management, vol 501 (December-1 2021)
PermalinkOBIA-based extraction of artificial terrace damages in the Loess plateau of China from UAV photogrammetry / Xuan Fang in ISPRS International journal of geo-information, vol 10 n° 12 (December 2021)
PermalinkReal-time web map construction based on multiple cameras and GIS / Xingguo Zhang in ISPRS International journal of geo-information, vol 10 n° 12 (December 2021)
PermalinkA semantics-based trajectory segmentation simplification method / Minshi Liu in Journal of Geovisualization and Spatial Analysis, vol 5 n° 2 (December 2021)
PermalinkSemi-automatic reconstruction of object lines using a smartphone’s dual camera / Mohammed Aldelgawy in Photogrammetric record, Vol 36 n° 176 (December 2021)
PermalinkSnow cover change assessment in the upper Bhagirathi basin using an enhanced cloud removal algorithm / Mritunjay Kumar Singh in Geocarto international, vol 36 n° 20 ([01/12/2021])
PermalinkUtility-pole detection based on interwoven column generation from terrestrial mobile Laser scanner data / Siamak Talebi Nahr in Photogrammetric record, Vol 36 n° 176 (December 2021)
PermalinkVisual analysis of geospatial multivariate data for investigating radioactive deposition processes / Shigeo Takahashi in The Visual Computer, vol 37 n° 12 (December 2021)
PermalinkCrop rotation modeling for deep learning-based parcel classification from satellite time series / Félix Quinton in Remote sensing, vol 13 n° 22 (November-2 2021)
PermalinkAbove-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat / Stefano Puliti in Remote sensing of environment, vol 265 (November 2021)
Permalink