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Artificial neural network-based techniques for the retrieval of SWE [snow water equivalent] and snow depth from SSM/I data / Marco Tedesco in Remote sensing of environment, vol 90 n° 1 (15/03/2004)  

Public [article]  inRemote sensing of environment > vol 90 n° 1 (15/03/2004) . - pp 76 - 85 Titre : Artificial neural network-based techniques for the retrieval of SWE [snow water equivalent] and snow depth from SSM/I data Type de document : Article/Communication Auteurs : Marco Tedesco, Auteur ; J.T. Pulliainen, Auteur ; M. Takala, Auteur ; M.T. Hallikainen, Auteur ; P. Pampaloni, Auteur Année de publication : 2004 Article en page(s) : pp 76 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] Finlande [Termes IGN] neige [Termes IGN] réalité de terrain [Termes IGN] réseau neuronal artificiel [Termes IGN] Special sensor microwave imager [Termes IGN] télédétection en hyperfréquence Résumé : (Auteur) The retrieval of snow water equivalent (SWE) and snow depth is performed by inverting Special Sensor Microwave Imager (SSM/I) brightness temperatures at 19 and 37 GHz using artificial neural network ANN-based techniques. The SSM/I used data, which consist of Pathfinder Daily EASE-Grid brightness temperatures, were supplied by the National Snow and Ice Data Centre (NSIDC). They were gathered during the period of time included between the beginning of 1996 and the end of 1999 all over Finland. A ground snow data set based on observations of the Finnish Environment Institute (SYKE) and the Finnish Meteorological Institute (FMI) was used to estimate the performances of the technique. The ANN results were confronted with those obtained using the spectral polarization difference (SPD) algorithm, the HUT model-based iterative inversion and the Chang algorithm, by comparing the RMSE, the R , and the regression coefficients. In general, it was observed that the results obtained through ANN-based technique are better than, or comparable to, those obtained through other approaches, when trained with simulated data. Performances were very good when the ANN were trained with experimental data. Numéro de notice : A2004-129 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.12.002 En ligne : https://doi.org/10.1016/j.rse.2003.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26656 [article]

Water quality retrievals from combined Landsat TM data and ERS-2 SAR data in the Gulf of Finland / Y. Zhang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 3 (March 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 3 (March 2003) . - pp 622 - 629 Titre : Water quality retrievals from combined Landsat TM data and ERS-2 SAR data in the Gulf of Finland Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; J.T. Pulliainen, Auteur ; S.S. Koponen, Auteur ; M.T. Hallikainen, Auteur Année de publication : 2003 Article en page(s) : pp 622 - 629 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Baltique, mer [Termes IGN] image ERS-SAR [Termes IGN] image Landsat-TM [Termes IGN] qualité des eaux [Termes IGN] réseau neuronal artificiel [Termes IGN] turbidité océanique Résumé : (Auteur) This paper presents the applicability of combined Landsat Thematic Mapper and European Remote Sensing 2 synthetic aperture radar (SAR) data to turbidity, Secchi disk depth, and suspended sediment concentration retrievals in the Gulf of Finland. The results show that the estimated accuracy of these water quality variables using a neural network is much higher than the accuracy using simple and multivariate regression approaches. The results also demonstrate that SAR is only a marginally helpful to improve the estimation of these three variables for the practical use in the study area. However, the method still needs to be refined in the area under study. Numéro de notice : A2003-117 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.808906 En ligne : https://doi.org/10.1109/TGRS.2003.808906 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22413 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-03031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Incidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic sea ice / Marko P. Mäkynen in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2593 - 2605 Titre : Incidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic sea ice Type de document : Article/Communication Auteurs : Marko P. Mäkynen, Auteur ; A.T. Manninen, Auteur ; M.H. Simila, Auteur ; J.A. Karvonen, Auteur ; M.T. Hallikainen, Auteur Année de publication : 2002 Article en page(s) : pp 2593 - 2605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] angle d'incidence [Termes IGN] Baltique, mer [Termes IGN] bande C [Termes IGN] diffusomètre [Termes IGN] glace [Termes IGN] modèle de diffusion du rayonnement [Termes IGN] modèle linéaire [Termes IGN] polarimétrie radar [Termes IGN] radar à antenne synthétique Résumé : (Auteur) Incidence angle dependence of three statistical parameters the mean of the backscattering coefficient (°) standard deviation, and autocorrelation coefficient of texture (T and T) of the C band horizontal-horizontal (HH) polarization backscattering signatures of the Baltic Sea ice are investigated using RADARSAT ScanSAR Narrow images and helicopterborne Helsinki University of Technology Scatterometer (HUTSCAT) data. The analysis of the large amount of data shows that the relationship between the mean ° in decibel scale and the incidence angle in the range from 19° to 46° is usually well described by a linear model. In general, the RADARSAT and HUTSCAT results agree with each other, and they are also supported by theoretical backscattering model calculations; the more deformed the ice, the smaller the slope between ° and the incidence angle, and the higher the moisture content of snow or ice, the larger the slope. The derived ° incidence angle dependencies can be used to roughly compensate the ° incidence angle variation in the SAR images to help their visual and automated classification. The variability of T and T with the increasing incidence angle is insignificant compared to the variability within each ice type. Their average changes with the incidence angle are so small that, in practice, their trends do not need to be compensated. The results of this study can be utilized when developing classification algorithms for the RADARSAT ScanSAR and ENVISAT HH-polarization Wide Swath images of the Baltic Sea ice. Numéro de notice : A2002-349 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.806991 En ligne : https://doi.org/10.1109/TGRS.2002.806991 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22260 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-02121	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Proceedings of the 9th Earsel Symposium, Espoo (Finland), 27 June - 1 July 1989 / M.T. Hallikainen (1990)

Public Titre : Proceedings of the 9th Earsel Symposium, Espoo (Finland), 27 June - 1 July 1989 Type de document : Actes de congrès Auteurs : M.T. Hallikainen, Éditeur scientifique ; European association of remote sensing laboratories, Auteur Editeur : Ispra [Italie] : Joint Research Centre JRC Année de publication : 1990 Conférence : EARSeL 1989, 9th symposium 27/06/1989 01/07/1989 Espoo Finlande Importance : 540 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] changement climatique [Termes IGN] ERS-1 [Termes IGN] forêt [Termes IGN] glace [Termes IGN] image ERS [Termes IGN] neige [Termes IGN] pollution des eaux [Termes IGN] pollution des sols [Termes IGN] protection du paysage [Termes IGN] spectroscopie Index. décimale : CG1989 Actes de congrès en 1989 Numéro de notice : 45051 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=35293

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
45051-01	CG.89	Livre	Centre de documentation	En réserve M-103	Disponible