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Termes IGN > sciences naturelles > sciences de la Terre et de l'univers > géosciences > géographie physique > hydrographie > hydrographie de surface > bassin hydrographique
bassin hydrographiqueSynonyme(s)Bassin-versant Bassin versantVoir aussi |
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Exploring uncertainties in terrain feature extraction across multi-scale, multi-feature, and multi-method approaches for variable terrain / Boleslo E. Romero in Cartography and Geographic Information Science, Vol 45 n° 5 (August 2018)
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Titre : Exploring uncertainties in terrain feature extraction across multi-scale, multi-feature, and multi-method approaches for variable terrain Type de document : Article/Communication Auteurs : Boleslo E. Romero, Auteur ; Keith C. Clarke, Auteur Année de publication : 2018 Article en page(s) : pp 381 - 399 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] crète (ligne)
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] géomorphométrie
[Termes IGN] incertitude géométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] réseau hydrographique
[Termes IGN] talwegRésumé : (Auteur) Terrain analysis uses different workflows to extract features from terrain models for the purpose of understanding topographic patterns and processes. However, the results of different workflows often conflict, leading to uncertainties about feature locations. Instead of relying upon a single workflow, we suggest that a fusion of information from multiple workflows better informs terrain analysis. From terrain data with different degrees of variability, we extracted terrain features related to the set of topographic surface network feature classes {peaks, pits, saddles, ridges, courses} using workflows from free, open-source, and commercial software. A multi-scale analysis produced terrain features with fuzzy membership values for various feature classes and revealed that terrain locations can exhibit characteristics of all classes. Multi-feature maps were created by determining at each location the dominant and second-ranked features, and an uncertainty value. Our multi-method approach incorporated all of the workflows’ multi-scale results and again produced multi-feature maps that increased the confidence of some features and reduced the signal of dissimilar results. We also found that high variability terrain produced crisper features in both spatial extent and membership strength. Our overall conclusion is that multi-scale, multi-feature, and multi-method analyses clarify terrain feature uncertainty. Numéro de notice : A2018-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2017.1335235 Date de publication en ligne : 18/07/2017 En ligne : https://doi.org/10.1080/15230406.2017.1335235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90332
in Cartography and Geographic Information Science > Vol 45 n° 5 (August 2018) . - pp 381 - 399[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2018051 RAB Revue Centre de documentation En réserve L003 Disponible Mise en oeuvre d’un SIG pour le projet FARMaine (Partie 1) / Adèle Debray in Géomatique expert, n° 123 (juillet - août 2018)
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Titre : Mise en oeuvre d’un SIG pour le projet FARMaine (Partie 1) Type de document : Article/Communication Auteurs : Adèle Debray, Auteur ; Jean-Michel Follin, Auteur ; Benjamin Balland, Auteur Année de publication : 2018 Article en page(s) : pp 10 - 20 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] base de données localisées
[Termes IGN] bassin hydrographique
[Termes IGN] politique de conservation (biodiversité)
[Termes IGN] politique publique
[Termes IGN] politique territoriale
[Termes IGN] Registre parcellaire graphique
[Termes IGN] Zone Naturelle d'Intérêt Ecologique Fantastique et FloristiqueRésumé : (éditeur) Le projet FARMaine est un projet pluridisciplinaire financé dans le cadre du Programme de recherche PSDR 4 (Pour et Sur le Développement Régional) décliné à l’échelle du Grand Ouest. Il cherche à étudier les impacts fonciers, agricoles et paysagers des politiques publiques environnementales sur les fonds de vallée du bassin versant de la Maine, plus particulièrement sur les systèmes d’élevages extensifs. Ce projet s’appuie sur l’étude de quatre zones : les Basses Vallées Angevines (BVA), la vallée du Loir, la vallée de l’Oudon et la vallée du Sarthon-Alpes mancelles. Les outils mis en place dans le cadre de cette étude devront pouvoir être réutilisés dans des bassins versants similaires. Le présent travail vise à évaluer, grâce à un SIG, quel est l’impact des politiques publiques environnementales sur le paysage et le parcellaire des zones concernées. Numéro de notice : A2018-268 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90328
in Géomatique expert > n° 123 (juillet - août 2018) . - pp 10 - 20[article] Voir aussiExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-P002065 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt LiDAR, a technology to assist with smart cities and climate change resilience: a case study in an urban metropolis / Ryan Garnett in ISPRS International journal of geo-information, vol 7 n° 5 (May 2018)
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Titre : LiDAR, a technology to assist with smart cities and climate change resilience: a case study in an urban metropolis Type de document : Article/Communication Auteurs : Ryan Garnett, Auteur ; Matthew D. Adams, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bassin hydrographique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] eau pluviale
[Termes IGN] énergie solaire
[Termes IGN] métropole
[Termes IGN] modèle numérique de terrain
[Termes IGN] secours d'urgence
[Termes IGN] TorontoRésumé : (Auteur) In this paper, we demonstrate three unique use cases of LiDAR data and processing, which can be implemented in an urban metropolis to determine the challenges that are associated with climate change. LiDAR data for the City of Toronto were collected in April 2015 with a density of 10 points/m2. We utilized both a digital terrain model and a bare earth digital elevation model in this work. The first case study estimated storm water, in which we compared flow accumulation values and catchment areas generated with a 20-m DEM and a 1-m LiDAR DEM. The finer resolution DEM demonstrated that the urban street features play a significant role in flow accumulation by directing flows. Urban catchment areas were found to occur on spatial scales that were smaller than the 20-m DEM cell size. For the second case study, the solar potential in the City of Toronto was calculated based on the slope and aspect of each land parcel. According to area, 56% of the city was found to have high solar potential, with 33% and 11% having medium and low solar potential. For the third case study, we calculated the building heights for 16,715 high-rise buildings in Toronto, which were combined with ambulance and fire emergency response times required to reach the base of the building. All buildings that had more than 17 stories were within a 5-min response time for both fire and ambulance services. Only 79% and 88% of these buildings were within a 3-min response time for ambulance and fire emergencies, respectively. LiDAR data provides a highly detailed record of the built urban environment and can provide support in the planning and assessment of climate change resilience activities. Numéro de notice : A2018-343 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7050161 Date de publication en ligne : 24/04/2018 En ligne : https://doi.org/10.10.3390/ijgi7050161 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90565
in ISPRS International journal of geo-information > vol 7 n° 5 (May 2018)[article]Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques / Tarun Kumar in Geocarto international, vol 32 n° 12 (December 2017)
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Titre : Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques Type de document : Article/Communication Auteurs : Tarun Kumar, Auteur ; D. C. Jhariya, Auteur Année de publication : 2017 Article en page(s) : pp 1367 - 1388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aquifère
[Termes IGN] conservation des ressources naturelles
[Termes IGN] eau pluviale
[Termes IGN] eau souterraine
[Termes IGN] identification automatique
[Termes IGN] image satellite
[Termes IGN] Inde
[Termes IGN] ressources en eau
[Termes IGN] ruissellement
[Termes IGN] site
[Termes IGN] système d'information géographiqueRésumé : (Auteur) This study presents a method to identify potential sites for soil and water conservation techniques for the demarcation of suitable sites for artificial recharge of groundwater aquifers, in the study area. The run-off derived by the Soil Conservation Service Curve Number method is a function of run-off potential which can be expressed in terms of run-off coefficient. The augmentation of water resource is proposed by the construction of rainwater harvesting structures like check dam, percolation pond, farm pond and gully check dam. The site suitability for different water harvesting structures is determined by considering spatially varying parameters like slope, infiltration, run-off potential, landuse/land cover, stream order, soil texture, land capability class, hydrological soil group and micro-watershed area. The determined suitable site has been validated with existing recharge structures of the study area. Accuracy assessment of the suitable sites for recharge structures potential maps of the Bindra watershed is 82.60%. Numéro de notice : A2017-674 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1213772 En ligne : https://doi.org/10.1080/10106049.2016.1213772 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87177
in Geocarto international > vol 32 n° 12 (December 2017) . - pp 1367 - 1388[article]Thorough statistical comparison of machine learning regression models and their ensembles for sub-pixel imperviousness and imperviousness change mapping / Wojciech Drzewiecki in Geodesy and cartography, vol 66 n° 2 (December 2017)
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Titre : Thorough statistical comparison of machine learning regression models and their ensembles for sub-pixel imperviousness and imperviousness change mapping Type de document : Article/Communication Auteurs : Wojciech Drzewiecki, Auteur Année de publication : 2017 Article en page(s) : pp 171 - 210 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] apprentissage automatique
[Termes IGN] bassin hydrographique
[Termes IGN] classification pixellaire
[Termes IGN] détection de changement
[Termes IGN] image Landsat
[Termes IGN] modèle de régression
[Termes IGN] Pologne
[Termes IGN] surface imperméableRésumé : (auteur) We evaluated the performance of nine machine learning regression algorithms and their ensembles for sub-pixel estimation of impervious areas coverages from Landsat imagery. The accuracy of imperviousness mapping in individual time points was assessed based on RMSE, MAE and R2. These measures were also used for the assessment of imperviousness change intensity estimations. The applicability for detection of relevant changes in impervious areas coverages at sub-pixel level was evaluated using overall accuracy, F-measure and ROC Area Under Curve. The results proved that Cubist algorithm may be advised for Landsat-based mapping of imperviousness for single dates. Stochastic gradient boosting of regression trees (GBM) may be also considered for this purpose. However, Random Forest algorithm is endorsed for both imperviousness change detection and mapping of its intensity. In all applications the heterogeneous model ensembles performed at least as well as the best individual models or better. They may be recommended for improving the quality of sub-pixel imperviousness and imperviousness change mapping. The study revealed also limitations of the investigated methodology for detection of subtle changes of imperviousness inside the pixel. None of the tested approaches was able to reliably classify changed and non-changed pixels if the relevant change threshold was set as one or three percent. Also for fi ve percent change threshold most of algorithms did not ensure that the accuracy of change map is higher than the accuracy of random classifi er. For the threshold of relevant change set as ten percent all approaches performed satisfactory. Numéro de notice : A2017-787 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1515/geocart-2017-0012 En ligne : https://doi.org/10.1515/geocart-2017-0012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89099
in Geodesy and cartography > vol 66 n° 2 (December 2017) . - pp 171 - 210[article]Effects of using different sources of remote sensing and geographic information system data on urban stormwater 2D–1D modeling / Yi Hong in Applied sciences, vol 7 n° 9 (September 2017)
PermalinkPit-mound microrelief in forest soils: Review of implications for water retention and hydrologic modelling / Martin Valtera in Forest ecology and management, vol 393 (1 June 2017)
PermalinkTélédétection et photogrammétrie pour l'étude de la dynamique de l’occupation du sol dans le bassin versant de l’oued Chiba (Cap-Bon, Tunisie) / Anis Gasmi in Revue Française de Photogrammétrie et de Télédétection, n° 215 (mai - août 2017)
PermalinkPermalinkA GIS-based soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) (Lebna watershed, Cap Bon, Tunisia) / I. Gaubi in Natural Hazards, Vol. 86, n° 1 (Mars 2007)
PermalinkPermalinkDétection de l'érosion dans un bassin versant agricole par comparaison d'images multidates acquises par drone / Jonathan Lisein in Revue Française de Photogrammétrie et de Télédétection, n° 213 - 214 (janvier - avril 2017)
PermalinkDevelopment of a sampling protocol for monitoring snow melt using photogrammetry / Guillaume Sutter (2017)
PermalinkMise en place d’une base de données sur les caractéristiques hydromorphologiques de cours d’eau en tête de bassin versant / Amélie Valsangiacomo (2017)
PermalinkTélédétection pour l'observation des surfaces continentales, Volume 4. Observation des surfaces continentales par télédétection 2 / Nicolas Baghdadi (2017)
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