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Détection des haies et segmentation automatique / A. Dommanget in Géomatique expert, n° 57 (01/07/2007)
[article]
Titre : Détection des haies et segmentation automatique Type de document : Article/Communication Auteurs : A. Dommanget, Auteur ; C. Barnerias, Auteur Année de publication : 2007 Article en page(s) : pp 56 - 63 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] ArcView
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] échelle cartographique
[Termes IGN] erreur de classification
[Termes IGN] forêt
[Termes IGN] haie
[Termes IGN] Ille-et-Vilaine (35)
[Termes IGN] indice de végétation
[Termes IGN] inventaire de la végétation
[Termes IGN] logiciel de traitement d'image
[Termes IGN] logique floue
[Termes IGN] orthophotographie
[Termes IGN] photographie aérienne
[Termes IGN] photographie infrarouge couleur
[Termes IGN] projection conique conforme de Lambert
[Termes IGN] segmentation d'imageRésumé : (Auteur) L'objet de la présente étude était d'extraire automatiquement les haies à partir d'orthophotographies infrarouge couleurs que l'IFN possède. Etant donné le champ de compétences de l'IFN, nous nous sommes intéressés également à l'identification des forêts. Ce travail s'inspire largement de la contribution d'Alban Dommanget réalisée dans le cadre d'un stage de MASTER 2 "Système d'Informations Géographiques" de l'Université de Caen au sein de l'Inventaire Forestier National (IFN). Copyright CiMax Numéro de notice : A2007-334 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28697
in Géomatique expert > n° 57 (01/07/2007) . - pp 56 - 63[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-07041 RAB Revue Centre de documentation En réserve L003 Disponible Monitoring herbaceaous fuel moisture content with Spot-Vegetation times-series for fire risk prediction in savanna ecosystems / Jan Verbesselt in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
[article]
Titre : Monitoring herbaceaous fuel moisture content with Spot-Vegetation times-series for fire risk prediction in savanna ecosystems Type de document : Article/Communication Auteurs : Jan Verbesselt, Auteur ; B. Somers, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 357 - 368 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] combustible
[Termes IGN] herbe
[Termes IGN] image SPOT-Végétation
[Termes IGN] indice de végétation
[Termes IGN] prévention des risques
[Termes IGN] risque naturel
[Termes IGN] savane
[Termes IGN] surveillance écologique
[Termes IGN] teneur en eau de la végétationRésumé : (Auteur) This paper evaluated the capacity of SPOT VEGETATION time-series to monitor herbaceous fuel moisture content (FMC) in order to improve fire risk assessment in the savanna ecosystem of Kruger National Park in South Africa. In situ herbaceous FMC data were used to assess the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Vegetation Dryness Index (VDI), Improved VDI (IVDI), and Accumulated Relative NDVI Decrement (ARND) during the dry season. The effect of increasing amounts of dead vegetation on the monitoring capacity of derived indices was studied by sampling mixed live and dead FMC. The IVDI was proposed as an improvement of the VDI to monitor herbaceous FMC during the dry season. The IVDI is derived by replacing NDVI with the integrated Relative Vegetation Index (iRVI), as an approximation of yearly herbaceous biomass, when analyzing the 2-dimensional space with NDWI. It was shown that the iRVI offered more information than the NDVI in combination with NDWI to monitor FMC. The VDI and IVDI exhibited a significant relation to FMC with R2 of 0.25 and 0.73, respectively. The NDWI, however, correlated best with FMC (R2 = 0.75), while the correlation of ARND and FMC was weaker (R2 = 0.60) than that found for NDVI, NDWI, and IVDI. The use of in situ herbaceous FMC consequently indicated that NDWI is appropriate as spatio-temporal information source of herbaceous FMC variation which can be used to optimize fire risk and behavior assessment for fire management in savanna ecosystems. Copyright Elsevier Numéro de notice : A2007-299 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.11.019 En ligne : https://doi.org/10.1016/j.rse.2006.11.019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28662
in Remote sensing of environment > vol 108 n° 4 (29 June 2007) . - pp 357 - 368[article]Mapping of salt-affected soils using TM images / P. Garcia Rodriguez in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)
[article]
Titre : Mapping of salt-affected soils using TM images Type de document : Article/Communication Auteurs : P. Garcia Rodriguez, Auteur ; M.E. Perrez Gonzales, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 2713 - 2722 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Castille-La Manche
[Termes IGN] classification dirigée
[Termes IGN] déformation de surface
[Termes IGN] eau souterraine
[Termes IGN] image Landsat-TM
[Termes IGN] inondation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] risque naturel
[Termes IGN] sédiment
[Termes IGN] sol salinRésumé : (Auteur) Landsat images supply significant information on the different aspects of the physical environment necessary to determine the distribution of salty soils. This work centres on the La Mancha area (Central Spain) which, due to its flat topography, exhibits ideal conditions to show surface and groundwater movement, as well as sediment distribution. Combination of these factors is essential for development. The main goal of this study is to derive information on the distribution of salt-affected soils, as well as the area subject to flood risk. Multitemporal Landsat TM images selected from the 1990s have been used for this purpose. TM images are useful for delineation of mesozoic sediments rich in salts and/or areas with high humidity content. These images have been geo-referenced to the UTM coordinate system and have been digitally enhanced. Principal components, NDVI and supervised classification were computed. Therefore, it is quite possible to predict with a high degree of probability the development of saline soils, but their precise classification is not always possible, owing to the fact that they are usually associated with other soil groups: calcisols, regosols, luvisols and kastanozems. Salt-affected soils have been found to be associated with clayish mesozoic sediments, hollows, flood plain area and subsurface and groundwater movements. Complementary fieldwork is necessary in order to confirm digital values. Copyright Taylor & Francis Numéro de notice : A2007-310 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600928658 En ligne : https://doi.org/10.1080/01431160600928658 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28673
in International Journal of Remote Sensing IJRS > vol 28 n°11-12 (June 2007) . - pp 2713 - 2722[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07071 RAB Revue Centre de documentation En réserve L003 Disponible Data fusion of high-resolution satellite imagery and Lidar data for automatic building extraction / Gunho Sohn in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 1 (May 2007)
[article]
Titre : Data fusion of high-resolution satellite imagery and Lidar data for automatic building extraction Type de document : Article/Communication Auteurs : Gunho Sohn, Auteur ; Ian J. Dowman, Auteur Année de publication : 2007 Article en page(s) : pp 43 - 63 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] ALTM
[Termes IGN] arbre BSP
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] espace objet
[Termes IGN] extraction automatique
[Termes IGN] fusion de données multisource
[Termes IGN] image Ikonos
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] polygone
[Termes IGN] semis de points
[Termes IGN] spatial metricsRésumé : (Auteur) This paper aims to present a new approach for automatic extraction of building footprints in a combination of the IKONOS imagery with pan-sharpened multi-spectral bands and the low-sampled (not, vert, similar 0.1 points/m2) airborne laser scanning data acquired from the Optech's 1020 ALTM (Airborne Laser Terrain Mapper). Initially, a laser point cluster in 3D object space was recognized as an isolated building object if all the member points were similarly attributed as building points by investigating the height property of laser points and the normalized difference vegetation indices (NDVI) driven from IKONOS imagery. As modelling cues, rectilinear lines around building outlines collected by either data-driven or model-driven manner were integrated in order to compensate the weakness of both methods. Finally, a full description of building outlines was accomplished by merging convex polygons, which were obtained as a building region was hierarchically divided by the extracted lines using the Binary Space Partitioning (BSP) tree. The system performance was evaluated by objective evaluation metrics in comparison to the Ordnance Survey's MasterMap®. This evaluation showed the delineation performance of up to 0.11 (the branching factor) and the detection percentage of 90.1% (the correctness) and the overall quality of 80.5%. Copyright ISPRS Numéro de notice : A2007-214 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.01.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.01.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28577
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 1 (May 2007) . - pp 43 - 63[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07031 SL Revue Centre de documentation Revues en salle Disponible Estimating spatial patterns of rainfall interception from remotely sensed vegetation indices and spectral mixture analysis / S.M. de Jong in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
[article]
Titre : Estimating spatial patterns of rainfall interception from remotely sensed vegetation indices and spectral mixture analysis Type de document : Article/Communication Auteurs : S.M. de Jong, Auteur ; V.G. Jetten, Auteur Année de publication : 2007 Article en page(s) : pp 529 - 545 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] érosion hydrique
[Termes IGN] évapotranspiration
[Termes IGN] image HYMAP
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] Leaf Area Index
[Termes IGN] pluie
[Termes IGN] ruissellementRésumé : (Auteur) Rainfall interception by vegetation is an important factor in the water balance. Consequently, rainfall interception should also be an important factor in models simulating processes such as evaporation, transpiration, surface runoff, soil erosion, and crop growth. In practice, however, it is difficult to make quantitative assessments of the spatial and temporal distribution of rainfall interception loss at the catchment level, for instance, and to make these values available as model input. In this paper, we present a novel method using earth observation images to estimate local quantitative values of rainfall interception loss. Leaf Area Index (LAI) and fractional vegetation cover per grid cell are important process variables for rainfall interception. These two variables are estimated from images using spectral vegetation indices and using spectral mixture analysis, respectively. Relations between canopy storage capacity and LAI exist for several plant species and vegetation types, but limited data are found on crops, and more research is needed in this field. The new method is explained and illustrated for a study area in southern France with a variety of land-cover types. It is found to be a valuable and practical approach to quantitatively assess spatial patterns of interception loss for given rainfall events. Copyright Taylor & Francis Numéro de notice : A2007-135 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601064884 En ligne : https://doi.org/10.1080/13658810601064884 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28498
in International journal of geographical information science IJGIS > vol 21 n° 5 (may 2007) . - pp 529 - 545[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07031 RAB Revue Centre de documentation En réserve L003 Disponible 079-07032 RAB Revue Centre de documentation En réserve L003 Disponible Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer / S. Durbha in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)PermalinkFusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization / B. Koetz in Remote sensing of environment, vol 106 n° 4 (28/02/2007)PermalinkEvaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)PermalinkReflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)PermalinkClassification of biodiversity in Doi Inthanon national parc / H. Draux (2007)PermalinkDétection des zones débroussaillées dans les images simulées ORFEO / Marie-Cécile Lyx (2007)PermalinkDigital terrain model on vegetated areas: joint use of airborne Lidar data and optical images / Frédéric Bretar (2007)PermalinkMapping urban land cover using Quickbird NDVI and GIS spatial modeling for runoff coefficient determination / P. Thanapura in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 1 (January 2007)PermalinkMulti-scale correlations between topography and vegetation in a hillside catchment of Honduras / A. Nelson in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)PermalinkNeural network estimation of LAI, fAPAR, fCover and LAI*Cab, from top of canopy MERIS reflectance data: principles and validation / Cédric Bacour in Remote sensing of environment, vol 105 n° 4 (30/12/2006)Permalink