Descripteur
Termes IGN > sciences naturelles > sciences de la Terre et de l'univers > géosciences > géographie physique > géomorphologie > relief
relief
Commentaire :
forme du relief, modelé (géographie). >> géomorphologie. >>Terme(s) spécifique(s) : abri-sous-roche, bassin hydrographique, grotte, cône alluvial, dune, haute terre, île, littoral, pente et versant, plaine, récif, terrasse (géologie), vallée, volcan. Source(s) : Grand Larousse universel. - Dict. de la géographie / dir. P. George, 1974. Equiv. LCSH : Landforms. Domaine(s) : 550; 910. Synonyme(s)formes du reliefVoir aussi |
Documents disponibles dans cette catégorie (1339)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Big scanning on a small scale / Stephen Richardson in GEO: Geoconnexion international, vol 13 n° 6 (june 2014)
[article]
Titre : Big scanning on a small scale Type de document : Article/Communication Auteurs : Stephen Richardson, Auteur Année de publication : 2014 Article en page(s) : pp 26 - 28 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] balayage laser
[Termes IGN] courant marin
[Termes IGN] érosion hydrique
[Termes IGN] littoral
[Termes IGN] petite échelle
[Termes IGN] vagueRésumé : (Auteur) Understanding the way that waves, currents and sediments interact with coastal structures, and the potential impact they can have, is far from simple. Stephen Richardson explains how 3D laser scanners are helping to improve the design of these structures and how use of this technology on a small scale can deliver big benefits. Numéro de notice : A2014-305 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33208
in GEO: Geoconnexion international > vol 13 n° 6 (june 2014) . - pp 26 - 28[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 062-2014061 SL Revue Centre de documentation Revues en salle Disponible Monitoring coastal morphological changes using remote sensing and GIS in the Red river delta area, Vietnam / Si Son Tong in Photo interprétation, European journal of applied remote sensing, vol 50 n° 2 (juin 2014)
[article]
Titre : Monitoring coastal morphological changes using remote sensing and GIS in the Red river delta area, Vietnam Type de document : Article/Communication Auteurs : Si Son Tong, Auteur ; Thi Lan Pham, Auteur ; Kavinda Gunasekara, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 51 - 63 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation
[Termes IGN] Asie (géographie physique)
[Termes IGN] delta
[Termes IGN] détection de changement
[Termes IGN] ensablement
[Termes IGN] érosion côtière
[Termes IGN] image ALOS
[Termes IGN] image Landsat-ETM+
[Termes IGN] littoral
[Termes IGN] morphologie
[Termes IGN] télédétection spatiale
[Termes IGN] Viet NamRésumé : (Auteur) This paper shows the research of coastal morphological changes in Red river delta using Remote Sensing and GIS technique. Study was carried out to assess the intensity of erosion, deposition and sand bar movement in the study area. Satellite images of ALOS/AVNIR-2 and Landsat MSS, TM, ETM+ were used for the monitoring of coastal morphological changes over the period of 1975 to 2009. Band rationing and threshold technique was used for the coastline extraction. Tidal levels at the time of image acquisition varied from 1.47m to 2.72. Therefore, coastline from another image at a different tidal level in the same year was considered to get the corrected coastline by interpolation technique. A series of points were generated along the coastline from 1975 image and were established as reference points to see the change in later periods. The changes were measured in distances from these reference points to the other coastline. Positive values represented deposition to the sea and negative values are erosion. The research showed that maximum erosion was 23.77 m/y between 1975 and 1989 in GiaoThuy, Nam Dinh area.
Human activities, such as shrimp farming and mangrove cultivation have expanded land nearly 3.5 km in Red river mouth and 2.8 km in Thai Binh river mouth from 1975 to 2009. The sand bar movement of the deltas were characterized by their alternating location of coastline, rate of deposition and erosion. In the analysis, sand bars were converted into centerlines for calculation. It was found that the sand bars moved 186 in/year in Red river mouth and 195 m/year in Day river mouth. ALOS/AVNIR-2 and Landsat MSS, TM, ETM+
images were classified to determine land cover changes of the coastal zone over three periods of time.Numéro de notice : A2014-369 Affiliation des auteurs : non IGN Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73790
in Photo interprétation, European journal of applied remote sensing > vol 50 n° 2 (juin 2014) . - pp 51 - 63[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 104-2014021 SL Revue Centre de documentation Revues en salle Disponible Active learning in the spatial domain for remote sensing image classification / André Stumpf in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)
[article]
Titre : Active learning in the spatial domain for remote sensing image classification Type de document : Article/Communication Auteurs : André Stumpf, Auteur ; Nicolas Lachiche, Auteur ; Jean-Philippe Malet, Auteur ; Norman Kerle, Auteur ; Anne Puissant, Auteur Année de publication : 2014 Article en page(s) : pp 2492 - 2507 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] algorithme d'apprentissage
[Termes IGN] analyse de sensibilité
[Termes IGN] classification par arbre de décision
[Termes IGN] incertitude des données
[Termes IGN] inventaire
[Termes IGN] méthode heuristique
[Termes IGN] penteRésumé : (Auteur) Active learning (AL) algorithms have been proven useful in reducing the number of required training samples for remote sensing applications; however, most methods query samples pointwise without considering spatial constraints on their distribution. This may often lead to a spatially dispersed distribution of training points unfavorable for visual image interpretation or field surveys. The aim of this study is to develop region-based AL heuristics to guide user attention toward a limited number of compact spatial batches rather than distributed points. The proposed query functions are based on a tree ensemble classifier and combine criteria of sample uncertainty and diversity to select regions of interest. Class imbalance, which is inherent to many remote sensing applications, is addressed through stratified bootstrap sampling. Empirical tests of the proposed methods are performed with multitemporal and multisensor satellite images capturing, in particular, sites recently affected by large-scale landslide events. The assessment includes an experimental evaluation of the labeling time required by the user and the computational runtime, and a sensitivity analysis of the main algorithm parameters. Region-based heuristics that consider sample uncertainty and diversity are found to outperform pointwise sampling and region-based methods that consider only uncertainty. Reference landslide inventories from five different experts enable a detailed assessment of the spatial distribution of remaining errors and the uncertainty of the reference data. Numéro de notice : A2014-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2262052 Date de publication en ligne : 12/07/2013 En ligne : https://doi.org/10.1109/TGRS.2013.2262052 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33164
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2492 - 2507[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014051A RAB Revue Centre de documentation En réserve L003 En circulation
Exclu du prêtGeostatistical methods for predicting soil moisture continuously in a subalpine basin / Katherine E. Williams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)
[article]
Titre : Geostatistical methods for predicting soil moisture continuously in a subalpine basin Type de document : Article/Communication Auteurs : Katherine E. Williams, Auteur ; Sharolyn Anderson, Auteur Année de publication : 2014 Article en page(s) : pp 333 - 341 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Colorado (Etats-Unis)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] géostatistique
[Termes IGN] humidité du sol
[Termes IGN] hydrographie de surface
[Termes IGN] image Ikonos
[Termes IGN] pente
[Termes IGN] régression géographiquement pondéréeRésumé : (Auteur) This study presents spatial statistical methods for examining the distribution of soil moisture in a sub-alpine environment. The high local variability of soil moisture is not well characterized by spatial interpolation from dispersed data points. Interpolation using only field samples from Loch Vale, Rocky Mountain National Park, Colorado produced coarse estimates that followed mean soil moisture trends, but failed to capture local mid-slope variation. A properly specified regression model was identified by using dispersed field samples and ancillary data derived from Ikonos-2 and lidar data. This model predicted soil moisture patterns at a much finer spatial resolution. An intensive field campaign provided independent soil moisture measurements that were used to assess the model's accuracy. The modeled soil moisture estimates captured local variability associated with topographic terrain differences along mid-slope areas. Numéro de notice : A2014-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.4.333 En ligne : https://doi.org/10.14358/PERS.80.4.333 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33113
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 4 (April 2014) . - pp 333 - 341[article]Automatic registration of coastal remotely sensed imagery by affine invariant feature matching with shoreline constraint / Liang Cheng in Marine geodesy, vol 37 n° 1 (March - May 2014)
[article]
Titre : Automatic registration of coastal remotely sensed imagery by affine invariant feature matching with shoreline constraint Type de document : Article/Communication Auteurs : Liang Cheng, Auteur ; Lihua Tong, Auteur ; Yongxue Liu, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 32 - 46 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] couple stéréoscopique
[Termes IGN] littoral
[Termes IGN] Ransac (algorithme)
[Termes IGN] télédétection spatiale
[Termes IGN] trait de côteRésumé : (Auteur) A new approach based on Affine Invariant Feature Matching (AIFM) with a filtering technique is proposed for automatic registration of remotely sensed image in coastal areas. The novelty of this approach is an automatic filtering technique using RANdom SAmple Consensus (RANSAC) with shoreline constraint for AIFM to remove all wrong matches and simultaneously keep as many correct matches as possible. To implement it, a progressive threshold strategy (from small value to large value) is presented to determine an appropriate RANSAC threshold, in which the progressive process is guided by shoreline constraint. The proposed approach (with filtering) is compared with standard AIFM (without filtering) using two typical image pairs in coastal areas. The experimental results indicate that the proposed approach can always provide much better matching results than standard AIFM. Numéro de notice : A2015-162 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490419.2013.868382 Date de publication en ligne : 02/08/2013 En ligne : https://doi.org/10.1080/01490419.2013.868382 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75849
in Marine geodesy > vol 37 n° 1 (March - May 2014) . - pp 32 - 46[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 230-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Caractérisation de la capacité de rétention de neige d’un plateau karstique. Essai méthodologique pour le plateau du Jabal Jraid (Liban) / Janine Somma in Revue internationale de géomatique, vol 24 n° 1 (mars – mai 2014)PermalinkEfficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding / Junwei Han in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)PermalinkNumérisation 3D de la grotte ornée des faux (Dordogne) : apport à l'archéologie et à la cartographie du champ magnétique / Pierre Grussenmeyer in XYZ, n° 138 (mars - mai 2014)PermalinkLes productions à caractère symbolique du site moustérien de La Roche-Cotard à Langeais (Indre-et-Loire, France) dans leur contexte géologique / Jean-Claude Marquet in Paléo, revue d'archéologie préhistorique, n° 25 (2014)PermalinkRange-based versus automated markerless image-based techniques for rock art documentation / José Luis Lerma in Photogrammetric record, vol 29 n° 145 (March - May 2014)PermalinkUsing models of the ocean's mean dynamic topography to identify errors in coastal geodetic levelling / M. S. Filmer in Marine geodesy, vol 37 n° 1 (March - May 2014)PermalinkL’apport des modélisations 3D pour l’étude de la grotte Blanchard (Saint-Marcel, Indre, France), bilan et perspectives pour l’analyse croisée des données / Eric Robert (2014)PermalinkEvaluation of MODIS data for improved monitoring of the Caspian Sea / Ayoub Moradi in International Journal of Remote Sensing IJRS, vol 35 n° 16 (January 2014)PermalinkLarge scale road network extraction in forested moutainous areas using airborne laser scanning data / António Ferraz (2014)PermalinkLiDAR-derived surface roughness texture mapping: Application to mount St. Helens Pumice Plain deposit analysis / Patrick L. Whelley in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 2 (January 2014)Permalink