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Multisensor satellite monitoring of seawater state and oil pollution in the northeastern coastal zone of the Black Sea / S. Shcherbak in International Journal of Remote Sensing IJRS, vol 29 n° 21 (October 2008)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 29 n° 21 (October 2008) . - pp 6331 - 6345 Titre : Multisensor satellite monitoring of seawater state and oil pollution in the northeastern coastal zone of the Black Sea Type de document : Article/Communication Auteurs : S. Shcherbak, Auteur ; O. Lavrova, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 6331 - 6345 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] données Topex-Poseidon [Termes IGN] eau de mer [Termes IGN] image Aqua-MODIS [Termes IGN] image Envisat-ASAR [Termes IGN] image ERS-SAR [Termes IGN] image NOAA-AVHRR [Termes IGN] image QuikSCAT [Termes IGN] Jason [Termes IGN] marée noire [Termes IGN] Noire, mer [Termes IGN] pollution des mers [Termes IGN] surveillance écologique Résumé : (Auteur) A new approach aimed at a better understanding of the state of pollution of the Black Sea coastal zone is suggested. It consists of the combined use of all available quasi-concurrent satellite information (NOAA AVHRR, TOPEX/ Poseidon, Jason-1, Terra/Aqua MODIS, Envisat ASAR, ERS-2 SAR and QuikSCAT) and was first applied during an operational seawater monitoring campaign in the coastal zone of the northeastern Black Sea conducted in 2006. The monitoring is based on daily receiving, processing and analysis of data different in nature (microwave radar images, optical and infrared data), resolution and surface coverage. These data allow us to retrieve information on seawater pollution, sea surface and air-sea boundary layer conditions, seawater temperature and suspended matter distributions, chlorophyll-a concentration, mesoscale water dynamics, near-surface wind, and surface wave fields. Such an approach helps in oil spill detection with synthetic aperture radar (SAR), especially in distinguishing oil slicks from look-alikes. The focus is on coastal seawater circulation mechanisms and their impact on the evolution of pollutants. Copyright Taylor & Francis Numéro de notice : A2008-534 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802175470 En ligne : https://doi.org/10.1080/01431160802175470 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29604 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-08131	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Study of rain events over the South China Sea by synergistic use of multi-sensor satellite and ground-based meteorological data / W. Alpers in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 3 (March 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 3 (March 2007) . - pp 267 - 278 Titre : Study of rain events over the South China Sea by synergistic use of multi-sensor satellite and ground-based meteorological data Type de document : Article/Communication Auteurs : W. Alpers, Auteur ; C. Cheng, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 267 - 278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Chine [Termes IGN] données météorologiques [Termes IGN] image DMSP-SSM/I [Termes IGN] image Envisat-ASAR [Termes IGN] image GOES [Termes IGN] image multicapteur [Termes IGN] image QuikSCAT [Termes IGN] image TRMM-MI [Termes IGN] précipitation [Termes IGN] signature spectrale [Termes IGN] surface de la mer Résumé : (Auteur) Rain cells and rain bands over the South China Sea off the coast of Hong Kong are studied by using multi-sensor satellite and ground-based meteorological data. These include synthetic aperture radar (SAR) images acquired by the Advanced Synthetic Aperture Radar (ASAR) onboard the European ENVISAT satellite, weather radar images from the Hong Kong Observatory (HKO), rain rate data acquired by the Special Sensor Microwave Imager (SSM/I) sensor onboard the F15 satellite of the American Defense Meteorological Satellite Program (DMSP) and the rain sensors onboard the Tropical Rainfall Measurement Mission (TRMM) satellite, cloud image of GOES-9 satellite, sea surface wind maps acquired by the scatterometer onboard the QUIKSCAT satellite, and meteorological data from weather stations in Hong Kong. Three rain events, typical of Hong Kong, are studied. The first event consists of a cluster of rain cells associated with the summer monsoon, the second one of rain cells aligned in a rain band generated by an upper-air trough, and the third one consists of small rain cells embedded in a cold front. It is shown that ASAR images, which have a resolution of 30 m in the Image Mode (IM) and 150 m resolution in the Wide Swath Mode (WSM), yield much more detailed information on the spatial structure of rain events over the ocean than data obtained from SSSM/I and the rain sensors onboard the TRMM satellite. The precipitation radar (PR) onboard TRMM, which is the rain measuring instrument flown in space with the next best resolution, has a resolution of only 4 km. However, the disadvantage of SAR is that it is sometimes difficult to identify SAR signatures visible on SAR images of the sea surface unambiguously as caused by rain events. By comparing SAR images with simultaneously acquired weather radar images of the Hong Kong Observatory, a better knowledge of radar signatures on SAR images resulting from rain events over the ocean is obtained. This knowledge then helps greatly in detecting rain events on SAR images which are acquired over ocean areas, which are not in the reach of weather radar stations. SAR images containing radar signature of rain events allow a much more detailed study of fine-scale structures of rain events over the World’s ocean, in particular of clusters of rain cells, than any other sensor presently flown in space. Copyright ASPRS Numéro de notice : A2007-130 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.3.267 En ligne : https://doi.org/10.14358/PERS.73.3.267 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28493 [article]