Descripteur
Documents disponibles dans cette catégorie (4)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Open source water quality analysis / A. Lo Tauro in GEO: Geoconnexion international, vol 9 n° 8 (september 2010)
[article]
Titre : Open source water quality analysis Type de document : Article/Communication Auteurs : A. Lo Tauro, Auteur Année de publication : 2010 Article en page(s) : pp 24 - 27 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] érosion côtière
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image MIVIS
[Termes IGN] logiciel libre
[Termes IGN] positionnement par GPS
[Termes IGN] qualité des eaux
[Termes IGN] surveillance du littoral
[Termes IGN] système d'information géographiqueRésumé : (Auteur) A project to monitor, simulate and control water quality parameters has the aim of helping managers and authorities of coastal areas to select the most suitable environmental indicators, taking into account the data available. Hyperspectral analysis of water quality has the potential of enhancing the abilities of resource managers to monitor water bodies in a timely and cost-effective manner. Numéro de notice : A2010-342 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30536
in GEO: Geoconnexion international > vol 9 n° 8 (september 2010) . - pp 24 - 27[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 062-2010081 SL Revue Centre de documentation Revues en salle Disponible 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]The development of superspectral approaches for the improvement of land cover classification / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)
[article]
Titre : The development of superspectral approaches for the improvement of land cover classification Type de document : Article/Communication Auteurs : M. Gianinetto, Auteur ; G. Lechi, Auteur Année de publication : 2004 Article en page(s) : pp 2670 - 2679 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande infrarouge
[Termes IGN] capteur imageur
[Termes IGN] classification dirigée
[Termes IGN] cultures
[Termes IGN] filtrage du bruit
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image MIVIS
[Termes IGN] Italie
[Termes IGN] Kappa de Cohen
[Termes IGN] occupation du sol
[Termes IGN] onde électromagnétique
[Termes IGN] précision de la classification
[Termes IGN] rapport signal sur bruitRésumé : (Auteur) This paper develops a critical review of the hyperspectral splitting of the solar reflected radiation acquired by hyperspectral imaging sensors. The bandwidth used in the range from 2.0-2.5 um by many hyperspectral sensors sometimes is too narrow for land cover classification. In fact, hyperspectral imagers often suffer from low signal-to-noise (SNR) in the short-wave infrared region of the electromagnetic spectrum, resulting in noisy image collection. This paper presents a new methodological approach to the splitting of the solar reflected radiation, called the "superspectral approach" It is based on the principle of increasing the channel bandwidth by increasing the number of wavelengths, to build synthetic spectral bands with higher SNR. The methodology has been applied to the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) sensor, an airborne hyperspectral scanner used for environmental remote sensing applications in Italy. Interesting results have been achieved in crop classification, processing the Cordenons survey carried out in August 2001 in the northeastern part of Italy. The Spectral Angle Mapper algorithm was used for classification because it is insensitive to shadows. For accuracy assessment, the overall accuracy (OA) and kappa coefficient (k) were calculated and used in the comparison. Using the superspectral approach, an increment in the overall accuracy of about 42 % and an increment in the kappa coefficient of about 51 % were obtained in comparison to the classification accuracy of unprocessed original MIVIS data (OA = 41.21, k = 0.35). A second case study is presented using the National Aeronautics and Space Administration's experimental hyperspectral imager HYPERION. Data acquired over the lake of Garda (Italy) in October 2002 was processed with the superspectral approach. Comparing the simulated HYPERION superspectral bands with the original data, SNR improvements are achieved in the shortwave infrared region (from 0.7-54.2 for 2.012-pm wavelength and from 0.7-64.5 for the 2.365-pm wavelength). The methodology proposed is sensor independent and can be applied to any of the hyperspectral sensors currently available. Numéro de notice : A2004-464 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.835347 En ligne : https://doi.org/10.1109/TGRS.2004.835347 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26984
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 11 (November 2004) . - pp 2670 - 2679[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 065-04111 RAB Revue Centre de documentation Revues en salle Disponible Etude des températures de l'air en fonction de l'occupation de surface, en combinant un modèle agro météorologique, des informations satellitaires et un SIG / N. Fijean (1997)
Titre : Etude des températures de l'air en fonction de l'occupation de surface, en combinant un modèle agro météorologique, des informations satellitaires et un SIG Type de document : Mémoire Auteurs : N. Fijean, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 1997 Importance : 59 p. Format : 21 x 30 cm Note générale : Bibliographie
Mémoire de fin de stage, DEA Sciences de l'information géographiqueLangues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatiale
[Termes IGN] ArcInfo
[Termes IGN] données météorologiques
[Termes IGN] image MIVIS
[Termes IGN] image NOAA-AVHRR
[Termes IGN] modèle de transfert radiatif
[Termes IGN] système d'information géographique
[Termes IGN] température de l'airIndex. décimale : DSIG Mémoires du master 2 IG, du master 2 SIG, de l'ex DEA SIG Résumé : (Auteur) Etude de l'effet rétroactif des cultures sur le micro-climat au travers de la variabilité spatiale de la température de l'air à 2m sur la région de la Crau, à l'aide d'images AVHRR-NOAA et MIVIS, du modèle de transfert Magret. Numéro de notice : 67702 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Mémoire Master 2 IG Organisme de stage : Institut de la recherche agronomique Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=53616 Réservation
Réserver ce documentExemplaires (2)
Code-barres Cote Support Localisation Section Disponibilité 67702-01 DSIG Livre Centre de documentation Travaux d'élèves Disponible 67702-02 DSIG Livre Centre de documentation Travaux d'élèves Disponible