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Termes IGN > télédétection > télédétection électromagnétique > télédétection en hyperfréquence
télédétection en hyperfréquenceSynonyme(s)télédétection radar télédétection hyperfréquenceVoir aussi
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Télédétection radar : de l'image d'intensité initiale au choix du mode de calibration des coefficients de diffusion / Jean-Paul Rudant in Revue Française de Photogrammétrie et de Télédétection, n° 219-220 (juin - octobre 2019)
[article]
Titre : Télédétection radar : de l'image d'intensité initiale au choix du mode de calibration des coefficients de diffusion Type de document : Article/Communication Auteurs : Jean-Paul Rudant , Auteur ; Pierre-Louis Frison , Auteur Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : pp 19 - 28 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] correction d'image
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] couvert forestier
[Termes IGN] distorsion d'image
[Termes IGN] étalonnage des données
[Termes IGN] géoréférencement
[Termes IGN] télédétection en hyperfréquenceRésumé : (auteur) The current period is characterized by an abundance of free access radar data, the use of which is encouraged and facilitated by space agencies, the latter providing free software for image processing and analysis to users. At the same time, several academic or institutional sites offer explanatory resources (courses, software tutorials) on general or targeted topics intended to facilitate the use of images in most fields of application. In this paper, we wish to address and detail a particular point ; that of the physical concept of the radar measurement, through the various software processing proposed during a sequence of georeferencing-calibration of the images. This sequence, which combines geometrical and radiometric aspects, is found for applications relating to the characterization of the various media present on the surface of the ground or to facilitate the analysis of temporal sequences. After presenting the general aspects related to the power measured at the sensor and the various factors influencing this measurement, we will focus on the user practice, by discussing the different choices of coefficients )3 °, y°, offered during a calibration following a geo-referencing, as well as on the taking into account, or not, slope effects in geometric and radiometric corrections affecting the image. Particular attention is paid to the coefficient 7° whose variations as a function of local incidence are considered very low in the case of dense forests. Numéro de notice : A2019-344 Affiliation des auteurs : UPEM-LASTIG (2016-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.52638/rfpt.2019.454 En ligne : https://doi.org/10.52638/rfpt.2019.454 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93381
in Revue Française de Photogrammétrie et de Télédétection > n° 219-220 (juin - octobre 2019) . - pp 19 - 28[article]Improving the spatial bias correction algorithm in SMOS image reconstruction processor : validation of soil moisture retrievals with in situ data / Ali Khazaal in IEEE Transactions on geoscience and remote sensing, vol 57 n° 1 (January 2019)
[article]
Titre : Improving the spatial bias correction algorithm in SMOS image reconstruction processor : validation of soil moisture retrievals with in situ data Type de document : Article/Communication Auteurs : Ali Khazaal, Auteur ; Philippe Richaume, Auteur ; François Cabot, Auteur ; Eric Anterrieu, Auteur ; Arnaud Mialon, Auteur ; Yann H. Kerr, Auteur Année de publication : 2019 Article en page(s) : pp 277 - 290 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] correction d'image
[Termes IGN] erreur systématique
[Termes IGN] humidité du sol
[Termes IGN] image SMOS
[Termes IGN] résidu
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] température de luminanceRésumé : (Auteur) SMOS is a space mission led by the European Space Agency and designed to provide global maps of Soil Moisture and Ocean salinity, two important geophysical parameters for understanding the water cycle variations and climate change. The SMOS payload is a 2-D interferometer operating at L-band that consists of 69 elementary antennas located along a Y-shaped structure. Important spatial biases persist in the retrieved brightness temperature (BT) images mainly due to the phenomenon of aliasing inside the field of view of SMOS but also due to the Gibbs oscillations near land/ocean transitions. To minimize these biases, a differential image reconstruction algorithm is used in the operational processor that reduces the contrast of the image to be retrieved. To do that, the contribution of a constant artificial temperature map is removed from the measurements prior to reconstruction and then added back after the reconstruction. In this paper, we show that strong residual biases are still present in the retrieved images. To reduce them, we propose to improve the bias correction algorithm by using a more realistic artificial temperature scene based on separating the land and ocean regions and assigning a constant temperature over land and a Fresnel BT model over the ocean. The artificial scene is also improved by means of representing each pixel by its water fraction percentage to smooth the land/ocean transitions. The improved algorithm is validated over the ocean by comparing the retrieved temperatures to a forward geophysical model but also over land by comparing the retrieved soil moisture to in situ measurements. Numéro de notice : A2019-106 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2853619 Date de publication en ligne : 09/08/2018 En ligne : https://doi.org/10.1109/TGRS.2018.2853619 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92412
in IEEE Transactions on geoscience and remote sensing > vol 57 n° 1 (January 2019) . - pp 277 - 290[article]
Titre de série : Remote sensing of precipitation, 1 Titre : Volume 1 Type de document : Monographie Auteurs : Silas Michaelides, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 480 p. ISBN/ISSN/EAN : 978-3-03921-286-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande K
[Termes IGN] bande X
[Termes IGN] climatologie
[Termes IGN] cyclone
[Termes IGN] données GNSS
[Termes IGN] données météorologiques
[Termes IGN] fréquence
[Termes IGN] image GPM
[Termes IGN] image radar
[Termes IGN] météorologie
[Termes IGN] neige
[Termes IGN] pluie
[Termes IGN] précipitation
[Termes IGN] récepteur monofréquence
[Termes IGN] satellite géostationnaire
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] variation saisonnièreRésumé : (Editeur) Precipitation is a well-recognized pillar in global water and energy balances. An accurate and timely understanding of its characteristics at the global, regional, and local scales is indispensable for a clearer understanding of the mechanisms underlying the Earth’s atmosphere–ocean complex system. Precipitation is one of the elements that is documented to be greatly affected by climate change. In its various forms, precipitation comprises a primary source of freshwater, which is vital for the sustainability of almost all human activities. Its socio-economic significance is fundamental in managing this natural resource effectively, in applications ranging from irrigation to industrial and household usage. Remote sensing of precipitation is pursued through a broad spectrum of continuously enriched and upgraded instrumentation, embracing sensors which can be ground-based (e.g., weather radars), satellite-borne (e.g., passive or active space-borne sensors), underwater (e.g., hydrophones), aerial, or ship-borne. Numéro de notice : 26511A Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03921-286-6 En ligne : http://doi.org/10.3390/books978-3-03921-286-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97192
Titre de série : Remote sensing of precipitation, 2 Titre : Volume 2 Type de document : Monographie Auteurs : Silas Michaelides, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 318 p. ISBN/ISSN/EAN : 978-3-03921-288-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] climatologie
[Termes IGN] cyclone
[Termes IGN] données GNSS
[Termes IGN] fréquence
[Termes IGN] image GPM
[Termes IGN] image radar
[Termes IGN] météorologie
[Termes IGN] Pakistan
[Termes IGN] pluie
[Termes IGN] positionnement ponctuel précis
[Termes IGN] prédiction
[Termes IGN] récepteur monofréquence
[Termes IGN] satellite géostationnaire
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] télédétection spatiale
[Termes IGN] Tibet
[Termes IGN] variation saisonnière
[Termes IGN] vitesse de déplacementRésumé : (Editeur) Precipitation is a well-recognized pillar in global water and energy balances. An accurate and timely understanding of its characteristics at the global, regional, and local scales is indispensable for a clearer understanding of the mechanisms underlying the Earth’s atmosphere–ocean complex system. Precipitation is one of the elements that is documented to be greatly affected by climate change. In its various forms, precipitation comprises a primary source of freshwater, which is vital for the sustainability of almost all human activities. Its socio-economic significance is fundamental in managing this natural resource effectively, in applications ranging from irrigation to industrial and household usage. Remote sensing of precipitation is pursued through a broad spectrum of continuously enriched and upgraded instrumentation, embracing sensors which can be ground-based (e.g., weather radars), satellite-borne (e.g., passive or active space-borne sensors), underwater (e.g., hydrophones), aerial, or ship-borne. Numéro de notice : 26511B Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03921-288-0 En ligne : http://doi.org/10.3390/books978-3-03921-288-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97195
Titre : Sea surface roughness observed by high resolution radar Type de document : Monographie Auteurs : Atsushi Fujimura, Éditeur scientifique ; Susanne Lehner, Éditeur scientifique ; Alex Soloviev, Éditeur scientifique ; Xiaofeng Li, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 202 p. ISBN/ISSN/EAN : 978-3-03921-747-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande X
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-SAR
[Termes IGN] rugosité
[Termes IGN] surface de la mer
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] télédétection spatiale
[Termes IGN] turbulence
[Termes IGN] vague
[Termes IGN] ventRésumé : (Auteur) Changes in sea surface roughness are usually associated with a change in the sea surface wind field. This interaction has been exploited to measure sea surface wind speed by scatterometry. A number of features on the sea surface associated with changes in roughness can be observed by synthetic aperture radar (SAR) because of the change in Bragg backscatter of the radar signal by damping of the resonant ocean capillary waves. With various radar frequencies, resolutions, and modes of polarization, sea surface features have been analyzed in numerous campaigns, bringing various datasets together, thus allowing for new insights into small-scale processes at a larger areal coverage. This Special Issue aims at investigating sea surface features detected by high spatial resolution radar systems, such as SAR. Numéro de notice : 26504 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03921-747-2 En ligne : https://doi.org/10.3390/books978-3-03921-747-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97078 PermalinkUrban deformation monitoring using persistent scatterer Interferometry and SAR tomography / Michele Crosetto (2019)PermalinkSeparating the influence of vegetation changes in polarimetric differential SAR interferometry / Virginia Brancato in IEEE Transactions on geoscience and remote sensing, vol 56 n° 12 (December 2018)PermalinkError-regulated multi-pass DInSAR analysis for landslide risk assessment / Jung Rack Kim in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 4 (April 2018)PermalinkPermalinkDétection de changement par imagerie radar sur les zones naturelles et agricoles en milieu tropical / Jérôme Lebreton (2018)PermalinkEstimation of surface roughness over bare agricultural soil from Sentinel-1 data / Mohammad Choker (2018)PermalinkBaltic sea ice concentration estimation using SENTINEL-1 SAR and AMSR2 microwave radiometer data / Juha Karvonen in IEEE Transactions on geoscience and remote sensing, vol 55 n° 5 (May 2017)PermalinkPermalinkTélédétection pour l'observation des surfaces continentales, Volume 2. Observation des surfaces continentales par télédétection micro-onde / Nicolas Baghdadi (2017)Permalink