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Microwave indices from active and passive sensors for remote sensing applications / Emanuele Santi (2019)  

Public Titre : Microwave indices from active and passive sensors for remote sensing applications Type de document : Monographie Auteurs : Emanuele Santi, Éditeur scientifique ; Simonetta Paloscia, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 224 p. Format : 18 x 26 cm ISBN/ISSN/EAN : 978-3-03897-820-6 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bande C [Termes IGN] bande Ku [Termes IGN] bande X [Termes IGN] diffusométrie [Termes IGN] filtrage spatiotemporel [Termes IGN] glace de mer [Termes IGN] humidité du sol [Termes IGN] image radar moirée [Termes IGN] phénologie [Termes IGN] prairie [Termes IGN] série temporelle Résumé : (éditeur) Past research has comprehensively assessed the capabilities of satellite sensors operating at microwave frequencies, both active (SAR, scatterometers) and passive (radiometers), for the remote sensing of Earth’s surface. Besides brightness temperature and backscattering coefficient, microwave indices, defined as a combination of data collected at different frequencies and polarizations, revealed a good sensitivity to hydrological cycle parameters such as surface soil moisture, vegetation water content, and snow depth and its water equivalent. The differences between microwave backscattering and emission at more frequencies and polarizations have been well established in relation to these parameters, enabling operational retrieval algorithms based on microwave indices to be developed. This Special Issue aims at providing an overview of microwave signal capabilities in estimating the main land parameters of the hydrological cycle, e.g., soil moisture, vegetation water content, and snow water equivalent, on both local and global scales, with a particular focus on the applications of microwave indices. Note de contenu : Editorial 1- Ku-, X- and C-Band microwave backscatter indices from saline snow covers on Arctic first-year sea ice 2- Retrieval of effective correlation length and snow water equivalent from radar and passive microwave measurements 3- Soil moisture from fusion of scatterometer and SAR: closing the scale gap with temporal filtering 4- Using SAR-derived vegetation descriptors in a water cloud model to improve soil moisture retrieval 5- Sensitivity of Sentinel-1 backscatter to vegetation dynamics: An Austrian case study 6- AMSR2 soil moisture downscaling using temperature and vegetation data 7- Analysis of the Radar Vegetation Index and potential improvements 8- Radiometric microwave indices for remote sensing of land surfaces 9- Soil moisture in the Biebrza wetlands retrieved from Sentinel-1 imagery 10- Exploiting time series of Sentinel-1 and Sentinel-2 imagery to detect meadow phenology in mountain regions Numéro de notice : 25941 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03897-821-3 En ligne : https://doi.org/10.3390/books978-3-03897-821-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96313

Polarization scatterer feature metric space / William L. Cameron in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 2 (June 2013) . - pp 3638 - 3647 Titre : Polarization scatterer feature metric space Type de document : Article/Communication Auteurs : William L. Cameron, Auteur ; Houra Rais, Auteur Année de publication : 2013 Article en page(s) : pp 3638 - 3647 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] coin réflecteur [Termes IGN] diffusion du rayonnement [Termes IGN] diffusométrie [Termes IGN] polarisation Résumé : (Auteur) This paper extends prior work by Cameron and Rais to define new multidimensional representations of the reciprocal scatterer space and the general polarization scatterer space, including distance metric definitions for these representations. The relationship between the maximum symmetric scatterer type and the maximum value that can be attained by the asymmetry parameter is derived to determine the shape of the polarization reciprocal scatterer space. Moreover, a metric is derived for this space that reduces to the symmetric scatterer space metric when the asymmetry parameter is zero. These results are extended to the general polarization scatterer space by defining a metric on the polarization scatterer space that reduces to the polarization reciprocal scatterer metric when the reciprocity parameter Ørec is zero Numéro de notice : A2013-302 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2221466 En ligne : https://doi.org/ 10.1109/TGRS.2012.2221466 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32440 [article]

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Using ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA / Carsten Pathe in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 468 - 480 Titre : Using ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA Type de document : Article/Communication Auteurs : Carsten Pathe, Auteur ; W. Wagner, Auteur ; D. Sabel, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 468 - 480 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] bande C [Termes IGN] bruit (théorie du signal) [Termes IGN] diffusométrie [Termes IGN] filtrage du bruit [Termes IGN] humidité du sol [Termes IGN] image Envisat-ASAR [Termes IGN] image ERS-SAR [Termes IGN] Oklahoma (Etats-Unis) Résumé : (Auteur) The advanced synthetic aperture radar (ASAR) onboard of the satellite ENVISAT can be operated in global monitoring (GM) mode. ASAR GM mode has delivered the first global multiyear C-band backscatter data set in HH polarization at a spatial resolution of 1 km. This paper investigates if ASAR GM can be used for retrieving soil moisture using a change detection approach over large regions. A method previously developed for the European Remote Sensing (ERS) scatterometer is adapted for use with ASAR GM and tested over Oklahoma, USA. The ASAR-GM-derived relative soil moisture index is compared to 50-km ERS soil moisture data and pointlike in situ measurements from the Oklahoma MESONET. Even though the scale gap from ASAR GM to the in situ measurements is less pronounced than in the case of the ERS scatterometer, the correlation for ASAR against the in situ measurements is, in general, somewhat weaker than for the ERS scatterometer. The analysis suggests that this is mainly due to the much higher noise level of ASAR GM compared to the ERS scatterometer. Therefore, some spatial averaging to 3-10 km is recommended to reduce the noise of the ASAR GM soil moisture images. Nevertheless, the study demonstrates that ASAR GM allows resolving spatial details in the soil moisture patterns not observable in the ERS scatterometer measurements while still retaining the basic capability of the ERS scatterometer to capture temporal trends over large areas. Copyright IEEE Numéro de notice : A2009-148 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2004711 En ligne : https://doi.org/10.1109/TGRS.2008.2004711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29778 [article]

Exemplaires(1)

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065-09021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Sea-surface polarization ratio from Envisat ASAR AP Data / H. Jonhsen in IEEE Transactions on geoscience and remote sensing, vol 46 n° 11 Tome 1 (November 2008)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 46 n° 11 Tome 1 (November 2008) . - pp 3637 - 3646 Titre : Sea-surface polarization ratio from Envisat ASAR AP Data Type de document : Article/Communication Auteurs : H. Jonhsen, Auteur ; G. Engen, Auteur ; G. Guitton, Auteur Année de publication : 2008 Article en page(s) : pp 3637 - 3646 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] angle d'incidence [Termes IGN] bande C [Termes IGN] diffusométrie [Termes IGN] image Envisat-ASAR [Termes IGN] modèle de diffusion du rayonnement [Termes IGN] polarimétrie radar [Termes IGN] polarisation [Termes IGN] surface de la mer [Termes IGN] vent [Termes IGN] vitesse Résumé : (Auteur) The polarization ratio (VV/HH) of normalized radar cross section over ocean surface is processed from Envisat advanced synthetic aperture radar (ASAR) alternating polarization (AP) data and compared with existing electromagnetic (EM) scattering models. The processing of the AP data is based on LevelO (raw data) product that enables us to accurately compute the contribution from additive noise separately from each burst. This is important in estimating the correct polarization ratio, particularly at higher incidence angles where the relative contribution from noise becomes severe. A recently published EM scattering model, general curvature method (GCM), is extended here to incorporate scattering from breaking waves. The performance of this model with and without breaking waves is compared with AP data and with other models for the polarization ratio. The extended GCM model is furthermore used to assess the performance of wind speed retrieval in HH polarization. The inclusion of wave breaking in the GCM model reduces the polarization ratio standard deviation from 0.64 to 0.50 and the bias from -0.34 to 0.16, as compared to the measured ASAR AP polarization ratio. The best semiempirical model from literature gives 0.51 and 0.63 for the standard deviation and bias, respectively. The difference in performance is shown to be caused by the wind speed dependence not accounted for in the semiempirical model. Validation of the new polarization ratio model in combination with C-band Model Function (CMOD) for wind speed retrieval at HH polarization shows similar performance as at VV polarization. We conclude that the GCM polarization ratio model incorporating wave-breaking effects is found to reproduce well polarization ratio measurements (ASAR AP) versus wind vector and incidence angle. Numéro de notice : A2008-537 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2001061 En ligne : https://doi.org/10.1109/TGRS.2008.2001061 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29607 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-08111A	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A wavelet based technique for sea wind extraction from SAR images / S. Zecchetto in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 1 (October 2008)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 46 n° 10 Tome 1 (October 2008) . - pp 2983 - 2989 Titre : A wavelet based technique for sea wind extraction from SAR images Type de document : Article/Communication Auteurs : S. Zecchetto, Auteur ; F. De Biasio, Auteur Année de publication : 2008 Conférence : IGARSS 2007, International Geoscience And Remote Sensing Symposium, sensing and understanding our planet 23/07/2007 27/07/2007 Barcelone Espagne Proceedings IEEE Article en page(s) : pp 2983 - 2989 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] diffusométrie [Termes IGN] image Envisat-ASAR [Termes IGN] image ERS-SAR [Termes IGN] Méditerranée, mer [Termes IGN] surface de la mer [Termes IGN] transformation en ondelettes [Termes IGN] valeur radiométrique [Termes IGN] vent [Termes IGN] vitesse Résumé : (Auteur) We present the follow-up of our previously published work, where we described a wavelet-based method to characterize the sea surface backscatter structures in Synthetic Aperture Radar (SAR) images. The method relies on the ability of the 2-D continuous wavelet technique to detect the spatial structure of the Marine Atmospheric Boundary Layer (MABL) and to isolate wind-related cells and features. The analysis of the cells' geometry, molded by the radiometric characteristics of the sea surface, permits the identification of the wind direction inside the cells, due to the along-wind asymmetry of backscatter structures, and thus the computation of the wind speed through standard algorithms. Twenty-one SAR images (ERS-2 and Envisat ASAR Wide Swath) over the Mediterranean Sea have been analyzed, and the results are compared with satellite wind fields. The images cover a range of meteorological conditions from low to moderate winds. Comparison of the SAR-derived wind fields with those provided by satellite scatterometers indicates a good score of success (roughly 70%-80%). The developed methodology, once tested over an adequate number of images to derive statistically reliable results, could be routinely used to enrich SAR images with the wind field as well as to characterize the MABL in terms of size, distribution, and shape of the backscatter cells. Copyright IEEE Numéro de notice : A2008-538 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.920967 En ligne : https://doi.org/10.1109/TGRS.2008.920967 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29608 [article]

Exemplaires(1)

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Spatial and temporal behaviour of a large agricultural area as observed from airborne C-band scatterometer and thermal infrared radiometer / J.V. Soares in International Journal of Remote Sensing IJRS, vol 8 n° 7 (July 1987)  

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Contribution expérimentale à l'interprétation des images de radar latéral en mer ; utilisation des données de scattermomètre sur plate-forme / D. De Staerke (1981)

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Télédétection des rejets d'hydrocarbures dans les eaux côtières, Actes du premier atelier étude pilote sur la télédétection, engagée par la France, auprès du Comité sur les Défis de la Société moderne, OTAN / Ministère de l'environnement et du cadre de vie (France) (1979)

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Side-looking radar systems and their potential application to Earth resource surveys: Report prepared for the European space research organisation under ESTEC contract 1537/71 EL, 2. Volume 2, Radar scattering from natural surfaces / K. Grant (1972)

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Microwave remote sensing on bare soil, workshop report, Proceedings of the workshop organised by Earsel working groupe 4 Application of microwave remote sensing in agriculture and forestry / N. Lannelongue (1969)

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