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Termes IGN > environnement > écologie > écosystème > biotope > milieu naturel > zone humide > marais
marais
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Bassin paralique,
Eau stagnante, Espace naturel, Zone humide. >> Écologie des marais, Lande, Marécage, Tourbière. >>Terme(s) spécifique(s) : Mangrove, Marais littoral. Equiv. LCSH : Marshes, Swamps. Domaine(s) : 550. Synonyme(s)terre marécageuse marécageVoir aussi |
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Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing / E. Belluco in Remote sensing of environment, vol 105 n° 1 (15/11/2006)
[article]
Titre : Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing Type de document : Article/Communication Auteurs : E. Belluco, Auteur ; M. Camuffo, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 54 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] flore locale
[Termes IGN] image CASI
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image MIVIS
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] image ROSIS
[Termes IGN] marais salé
[Termes IGN] plante halophile
[Termes IGN] VeniseRésumé : (Auteur) Tidal marshes are characterized by complex patterns both in their geomorphic and ecological features. Such patterns arise through the elaboration of a network structure driven by the tidal forcing and through the interaction between hydrodynamical, geophysical and ecological components (chiefly vegetation). Intertidal morphological and ecological structures possess characteristic extent (order of kilometers) and small-scale features (down to tens of centimeters) which are not simultaneously accessible through field observations, thus making remote sensing a necessary observation tool. This paper describes a set of remote sensing observations from several satellite and airborne platforms, the collection of concurrent ground reference data and the vegetation distributions that may be inferred from them, with specific application to the Lagoon of Venice (Italy). The data set comprises ROSIS, CASI, MIVIS, IKONOS and QuickBird acquisitions, which cover a wide range of spatial and spectral resolutions. We show that spatially-detailed and quantitatively reliable vegetation maps may be derived from remote sensing in tidal environments through unsupervised (K-means) and supervised algorithms (Maximum Likelihood and Spectral Angle Mapper). We find that, for the objective of intertidal vegetation classification, hyperspectral data contain largely redundant information. This in particular implies that a reduction of the spectral features is required for the application of the Maximum Likelihood classifier. A large number of experiments with different feature extraction/selection algorithms show that the use of four bands derived from Maximum Noise Fraction transforms and four RGBI broad bands obtained by spectral averaging yield very similar classification performances. The classifications from hyperspectral data are somewhat superior to those from multispectral data, but the close performance and the results of the features reduction experiments show that spatial resolution affects classification accuracy much more importantly than spectral resolution. Monitoring schemes of tidal environment vegetation may thus be based on high-resolution satellite acquisitions accompanied by systematic ancillary field observations at a relatively limited number of reference sites, with practical consequences of some relevance. Copyright Elsevier Numéro de notice : A2006-502 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.06.006 En ligne : https://doi.org/10.1016/j.rse.2006.06.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28226
in Remote sensing of environment > vol 105 n° 1 (15/11/2006) . - pp 54 - 67[article]Comparing accuracy assessments to infer superiority of image classification methods / J. De Leleuw in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
[article]
Titre : Comparing accuracy assessments to infer superiority of image classification methods Type de document : Article/Communication Auteurs : J. De Leleuw, Auteur ; H. Jia, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 223 - 232 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] classification
[Termes IGN] fonction aléatoire
[Termes IGN] inférence statistique
[Termes IGN] Kappa de Cohen
[Termes IGN] marais salé
[Termes IGN] matrice d'erreur
[Termes IGN] Pays-Bas
[Termes IGN] plante halophile
[Termes IGN] varianceRésumé : (Auteur) The z-test based on the Kappa statistic is commonly used to infer superiority of one map production method over another. Typically the same reference data set is used to calculate and next compare the Kappa's of the two maps. This data structure easily leads to dependence between the two error-matrices. This may result in overly large variance estimates and too conservative inference about the difference in accuracy between the two methods. Tests considering the dependency between the error matrices would be more sensitive in such case. In this article we compare the performance of two such tests, a randomization and McNemar's test, with the traditional z-test. We compared 16 alternative methods to classify salt marsh vegetation in The Netherlands. The error matrices were positively associated in all 120 possible comparisons of pairs of classification methods. This suggests that dependency between pairs of error matrices used in classifier comparison is a common phenomenon. Both the randomization and McNemar test gave lower p values and rejecied the null hypothesis of equal performance more frequently than the z-test. We therefore recommend considering their use. Numéro de notice : A2006-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500275762 En ligne : https://doi.org/10.1080/01431160500275762 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27787
in International Journal of Remote Sensing IJRS > vol 27 n°1-2 (January 2006) . - pp 223 - 232[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06011 RAB Revue Centre de documentation En réserve L003 Disponible Extraction of tidal channel networks from aerial photographs alone and combined with laser altimetry / Bharat Lohani in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
[article]
Titre : Extraction of tidal channel networks from aerial photographs alone and combined with laser altimetry Type de document : Article/Communication Auteurs : Bharat Lohani, Auteur ; D.C. Mason, Auteur ; T.R. Scott, Auteur ; B. Sreenivas, Auteur Année de publication : 2006 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] fusion d'images
[Termes IGN] fusion de données
[Termes IGN] identification automatique
[Termes IGN] image multibande
[Termes IGN] marais salé
[Termes IGN] océanographie dynamique
[Termes IGN] sédimentationRésumé : (Auteur) Tidal channel networks play an important role in the intertidal zone, exerting substantial control over the hydrodynamics and sediment transport of the region and hence over the evolution of the salt marshes and tidal flats. The study of the morphodynamics of tidal channels is currently an active area of research, and a number of theories have been proposed which require for their validation measurement of channels over extensive areas. Remotely sensed data provide a suitable means for such channel mapping. The paper describes a technique that may be adapted to extract tidal channels from either aerial photographs or LiDAR data separately, or from both types of data used together in a fusion approach. Application of the technique to channel extraction from LiDAR data has been described previously. However, aerial photographs of intertidal zones are much more commonly available than LiDAR data, and most LiDAR flights now involve acquisition of multispectral images to complement the LiDAR data. In view of this, the paper investigates the use of multispectral data for semiautomatic identification of tidal channels, firstly from only aerial photographs or linescanner data, and secondly from fused linescanner and LiDAR data sets. A multi-level, knowledge-based approach is employed. The algorithm based on aerial photography can achieve a useful channel extraction, though may fail to detect some of the smaller channels, partly because the spectral response of parts of the non-channel areas may be similar to that of the channels. The algorithm for channel extraction from fused LiDAR and spectral data gives an increased accuracy, though only slightly higher than that obtained using LiDAR data alone. The results illustrate the difficulty of developing a fully automated method, and justify the semi-automatic approach adopted. Numéro de notice : A2006-058 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500206692 En ligne : https://doi.org/10.1080/01431160500206692 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27785
in International Journal of Remote Sensing IJRS > vol 27 n°1-2 (January 2006)[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06011 RAB Revue Centre de documentation En réserve L003 Disponible Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA / L. Li in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)
[article]
Titre : Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA Type de document : Article/Communication Auteurs : L. Li, Auteur ; S.L. Ustin, Auteur ; M. Lay, Auteur Année de publication : 2005 Article en page(s) : pp 5193 - 5207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] analyse discriminante
[Termes IGN] analyse multibande
[Termes IGN] bande infrarouge
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] carte de la végétation
[Termes IGN] image AVIRIS
[Termes IGN] littoral
[Termes IGN] marais salé
[Termes IGN] plante halophileRésumé : (Auteur) Multiple endmember spectral mixture analysis (MESMA) was applied to the Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) imagery of a salt marsh in China Camp at San Pablo Bay, California, A nine-endmember set representing materials within the scene was used including: two Salicornia and two soils, and Grindelia, Spartina, dry grass, water and shade. The resultant abundance maps were used to investigate the spatial distribution of the marsh vegetation species, Salicornia virginica, Grindelia Stricta and Spartinafoliosa. The Spartina abundance map exhibited a well-defined zone bordering the water and the lower marsh, which is in good agreement with the field observations made in 2002. Comparison of the Salicornia map with all six field global positional system (GPS) polygons indicates Salicornia was classified with high accuracy. The proposed approach did a good job in classifying Spartina and Salicornia which cover 93.81% of the total marsh. The Grindelia fraction image underestimates in some areas, while in other areas it shows false detection. This misclassification is attributed to the spectral similarity between Grindelia and Salicornia and to the small patch size of Grindelia. Further work is required to solve this confusion. Numéro de notice : A2005-514 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500218911 En ligne : https://doi.org/10.1080/01431160500218911 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27650
in International Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5193 - 5207[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05231 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Utilisation des signatures de texture d'ordre elevé pour une meilleure discrimination des classes d'occupation du sol sur une image radar à synthese d'ouverture / E. Tonye in Revue Française de Photogrammétrie et de Télédétection, n° 179 (Décembre 2005)
[article]
Titre : Utilisation des signatures de texture d'ordre elevé pour une meilleure discrimination des classes d'occupation du sol sur une image radar à synthese d'ouverture Type de document : Article/Communication Auteurs : E. Tonye, Auteur ; A. Akono, Auteur ; Jean-Paul Rudant , Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 3 - 17 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse discriminante
[Termes IGN] analyse texturale
[Termes IGN] bande C
[Termes IGN] Cameroun
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] littoral
[Termes IGN] mangrove
[Termes IGN] marais
[Termes IGN] matrice de co-occurrence
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] polarisation
[Termes IGN] signature texturale
[Termes IGN] texture d'imageRésumé : (Auteur) Dans ce travail, on montre l'avantage des paramètres de texture d'ordre supérieur à 2 pour la discrimination des classes d'occupation du sol sur une image radar à synthèse d'ouverture (RSO). En effet, plusieurs études de classification texturales d'images RSO ont été effectuées jusqu'à maintenant, mais la plupart de ces études utilisent la technique des matrices de co-occurrence de niveaux de gris, qui est elle-même basée sur les paramètres de texture d'ordre 2. Dans cette étude, on mesure les signatures texturales aux ordres 2, 3 et 4 en quatre points distincts représentant quatre classes d'occupation du sol sur une image RSO ERS-1 de la côte Atlantique du Cameroun. Les signatures texturales mesurées sont établies à base de 17 paramètres de texture suffisamment discriminants. Une comparaison des signatures est ensuite effectuée et on constate que les signatures d'ordre supérieur produisent le meilleur taux de discrimination des classes d'occupation du sol. Numéro de notice : A2005-554 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27690
in Revue Française de Photogrammétrie et de Télédétection > n° 179 (Décembre 2005) . - pp 3 - 17[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-05031 RAB Revue Centre de documentation En réserve L003 Disponible Mesures et caractérisation des changements d'occupation des sols à partir de l'analyse diachronique de données satellitales : application à la zone humide d'Akgöl (Turquie) / D. Gramond in Photo interprétation, vol 41 n° 4 (Novembre 2005)PermalinkComment expliquer la localisation des usages du sol par les agriculteurs ? Le cas des Marais de l'Ouest / A. Gerbaud in Revue internationale de géomatique, vol 15 n° 3 (septembre – novembre 2005)PermalinkCahiers d'habitats Natura 2000, Tome 4. Habitats agropastoraux / Museum national d'histoire naturelle (2005)PermalinkConception et réalisation d'un SIG dédié aux études environnementales sur le site d'étude de la baie du Mont-Saint-Michel / Nicolas David (2005)PermalinkShort-term vegetation succession and erosion identified by airborne remote sensing of Westerschelde salt marshes, the Netherlands / A.G. Thomson in International Journal of Remote Sensing IJRS, vol 25 n° 20 (October 2004)PermalinkReducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices / A.S. Rogers in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)PermalinkMapping coastal vegetation using an expert system and hyperspectral imagery / K.S. Schmidt in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)PermalinkClassification of contamination in salt marsh plant using hyperspectral reflectance / M.D. Wilson in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)PermalinkArchaeology and wetlands: creating a management resource: surveying the bogs and marshes of England / W. Fletcher in Geoinformatics, vol 7 n° 3 (01/04/2004)PermalinkDynamique des marais salés et changements environnementaux / Frédéric Bertrand in Photo interprétation, vol 39 n° 3 - 4 (Septembre 2003)Permalink