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Agriculture classification using PolSAR data / H. Skriver (2005)

Public Titre : Agriculture classification using PolSAR data Type de document : Article/Communication Auteurs : H. Skriver, Auteur ; J. Dall, Auteur ; Thuy Le Toan, Auteur ; et al., Auteur Editeur : Noordwijk : ESA Publications Année de publication : 2005 Collection : ESA Specialist Panel, ISSN 0379-6566 num. 586 Conférence : POLinSAR 2005 17/01/2005 21/01/2005 Frascati Italie Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse discriminante [Termes IGN] céréales [Termes IGN] classification à base de connaissances [Termes IGN] classification dirigée [Termes IGN] cultures [Termes IGN] données polarimétriques [Termes IGN] image EMISAR [Termes IGN] image radar moirée [Termes IGN] polarimétrie radar [Termes IGN] polarisation Résumé : (Auteur) In this paper a classification scheme is presented, that uses a knowledge-based approach, where the crops are first classified into broad classes, i.e. bare surfaces, cereal crops, root crops, spring crops, winter crops etc. Hereafter, the discrimination between the individual crop types within these broad categories is performed. The discrimination into the broad classes is performed using standard polarimetric parameters such as the backscatter coefficients both at linear and circular polarisations, correlation coefficient and phase difference. The classification into the individual crop types is possible for some of the crop types, whereas it may for instance be very difficult to discriminate between some of the cereal crops. This part of the classification process is not as well established as the first part, and both a supervised approach and a knowledge-based approach may be used. Both POLSAR and PolInSAR data may be included in the classification scheme. The classification approach has been evaluated using data from the Danish EMISAR, and quantitative results based on in-situ information are presented. Numéro de notice : 13686 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64268

Fully polarimetric airborne SAR and ERS SAR observations of snow: implications for selection of Envisat ASAR modes / T. Guneriussen in International Journal of Remote Sensing IJRS, vol 24 n° 19 (October 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 19 (October 2003) . - pp 3839 - 3854 Titre : Fully polarimetric airborne SAR and ERS SAR observations of snow: implications for selection of Envisat ASAR modes Type de document : Article/Communication Auteurs : T. Guneriussen, Auteur ; H. Johnsen, Auteur Année de publication : 2003 Article en page(s) : pp 3839 - 3854 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] atmosphère terrestre [Termes IGN] bande C [Termes IGN] bande L [Termes IGN] données polarimétriques [Termes IGN] glace [Termes IGN] image EMISAR [Termes IGN] image Envisat-ASAR [Termes IGN] image ERS-SAR [Termes IGN] manteau neigeux [Termes IGN] montagne [Termes IGN] neige [Termes IGN] polarimétrie radar Résumé : (Auteur) Snow cover has a substantial impact on processes involved in the interaction between atmosphere and surface, and the knowledge of snow parameters is important in both climatology and weather forecasting. With the upcoming launch of Advanced Synthetic Aperture Radar (ASAR) instruments on Envisat, enhanced snow-mapping capabilities are foreseen. In this paper fully polarimetric C- and L-band airborne SAR data, ERS SAR and auxiliary data from various snow conditions in mountainous areas are analysed in order to determine the optimum ASAR modes for snow monitoring. The data used in this study are from the Norwegian part of the snow and ice experiment within the European Multi-sensor Airborne Campaign (EMAC'95) acquired in the Kongsfjellet area, located in Norway, 66°N, 14°E. Fully polarimetric C- and L-band SAR data from ElectroMagnetic Institute SAR (EMISAR), an airborne instrument operated by the Danish Center for Remote Sensing (DCR), were acquired in March, May, and July 1995. In addition, several ERS SAR, airborne photos, field and auxiliary data were acquired. A larger separation between wet snow and bare ground in EMISAR C-VV polarisation data was found at high incidence angle (55°) compared to lower incidence angle (45°). Crosspolarized observations from bare ground, dry and wet snow in the incidence angle range 35° to 65° are below the specified Envisat ASAR noise floor of -20-22 dB. The backscattering angular dependency for wet snow and bare ground derived from EMISAR C-VV and ERS SAR data corresponds well, and agrees to some extent with volume and surface scattering model results. The C-band is more sensitive to variation in snow properties than the L-band. Numéro de notice : A2003-282 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000053319 En ligne : https://doi.org/10.1080/0143116021000053319 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22577 [article]

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