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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
Titre : Ten years of TerraSAR-X : scientific results Type de document : Monographie Auteurs : Michael Eineder, Éditeur scientifique ; Achim Roth, Éditeur scientifique ; Alberto Moreira, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 422 p. ISBN/ISSN/EAN : 978-3-03897-725-4 Note générale : This book is a printed edition of the Special Issue Ten Years of TerraSAR-X—Scientific Results that was published in the open journal "Remote Sensing" from 2018 to 2019. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-X
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] MNS TerraSAR & TanDEM-X
[Termes IGN] radar à antenne synthétique
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] TerraSAR-XRésumé : (Editeur) This Special Issue is a collection of papers addressing the scientific use of data acquired in the course of the TerraSAR-X mission 10 years after launch. The articles deal with the mission itself, the accuracy of the products, with differential interferometry, and with applications in the domains cryosphere, oceans, wetlands, and urban areas. Numéro de notice : 26042 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03897-725-4 Date de publication en ligne : 25/04/2019 En ligne : https://doi.org/10.3390/books978-3-03897-725-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93611 Toward global soil moisture monitoring with sentinel-1 : harnessing assets and overcoming obstacles / Bernhard Bauer-Marschallinger in IEEE Transactions on geoscience and remote sensing, vol 57 n° 1 (January 2019)
[article]
Titre : Toward global soil moisture monitoring with sentinel-1 : harnessing assets and overcoming obstacles Type de document : Article/Communication Auteurs : Bernhard Bauer-Marschallinger, Auteur ; Vahid Freeman, Auteur ; Senmao Cao, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 520 - 539 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande C
[Termes IGN] bilan hydrique
[Termes IGN] humidité du sol
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-SAR
[Termes IGN] Italie
[Termes IGN] Ombrie (Italie)
[Termes IGN] surveillance agricole
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) Soil moisture is a key environmental variable, important to, e.g., farmers, meteorologists, and disaster management units. Here, we present a method to retrieve surface soil moisture (SSM) from the Sentinel-1 (S-1) satellites, which carry C-band Synthetic Aperture Radar (CSAR) sensors that provide the richest freely available SAR data source so far, unprecedented in accuracy and coverage. Our SSM retrieval method, adapting well-established change detection algorithms, builds the first globally deployable soil moisture observation data set with 1-km resolution. This paper provides an algorithm formulation to be operated in data cube architectures and high-performance computing environments. It includes the novel dynamic Gaussian upscaling method for spatial upscaling of SAR imagery, harnessing its field-scale information and successfully mitigating effects from the SAR's high signal complexity. Also, a new regression-based approach for estimating the radar slope is defined, coping with Sentinel-1's inhomogeneity in spatial coverage. We employ the S-1 SSM algorithm on a 3-year S-1 data cube over Italy, obtaining a consistent set of model parameters and product masks, unperturbed by coverage discontinuities. An evaluation of therefrom generated S-1 SSM data, involving a 1-km soil water balance model over Umbria, yields high agreement over plains and agricultural areas, with low agreement over forests and strong topography. While positive biases during the growing season are detected, the excellent capability to capture small-scale soil moisture changes as from rainfall or irrigation is evident. The S-1 SSM is currently in preparation toward operational product dissemination in the Copernicus Global Land Service. Numéro de notice : A2019-108 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2858004 Date de publication en ligne : 22/08/2018 En ligne : https://doi.org/10.1109/TGRS.2018.2858004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92425
in IEEE Transactions on geoscience and remote sensing > vol 57 n° 1 (January 2019) . - pp 520 - 539[article]Understanding of atmospheric systems with efficient numerical methods for observation and prediction / Lei-Ming Ma (2019)PermalinkUrban deformation monitoring using persistent scatterer Interferometry and SAR tomography / Michele Crosetto (2019)PermalinkVariational learning of mixture wishart model for PolSAR image classification / Qian Wu in IEEE Transactions on geoscience and remote sensing, vol 57 n° 1 (January 2019)PermalinkPolarization orientation angle and polarimetric SAR scattering characteristics of steep terrain / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 56 n° 12 (December 2018)PermalinkPotential of Sentinel-1 data for monitoring temperate mixed forest phenology / Pierre-Louis Frison in Remote sensing, vol 10 n° 12 (December 2018)PermalinkInvestigation of the success of monitoring slow motion landslides using Persistent Scatterer Interferometry and GNSS methods / K.O. Hastaoglu in Survey review, vol 50 n° 363 (September 2018)PermalinkA new scheme for urban impervious surface classification from SAR images / Hongsheng Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 139 (May 2018)PermalinkA statistical approach to preprocess and enhance C-band SAR images in order to detect automatically marine oil slicks / Zhour Najoui in IEEE Transactions on geoscience and remote sensing, vol 56 n° 5 (May 2018)PermalinkTowards automatic SAR-optical stereogrammetry over urban areas using very high resolution imagery / Chunping Qiu in ISPRS Journal of photogrammetry and remote sensing, vol 138 (April 2018)PermalinkEstimated location of the seafloor sources of marine natural oil seeps from sea surface outbreaks : A new "source path procedure" applied to the northern Gulf of Mexico / Zhour Najoui in Marine and Petroleum Geology, Vol 91 (March 2018)Permalink