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Recipes for the derivation of Water Quality Parameters Using the High-Spatial-Resolution Data from Sensors on Board Sentinel-2A,Sentinel-2B,Landsat-5,Landsat-7,Landsat-8,and Landsat-9 Satellites

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 213-230页

作者： Juliana Tavora Binbin Jiang Thomas Kiffney Guillaume Bourdin Patrick Clifton Gray lino sander de carvalho Gabriel Hesketh Kristin M.Schild Luiz Faria de Sousa Damian CBrady Emmanuel Boss Faculty of Geo-Information Science and Earth Observation(ITC) University of TwentePO Box 2177500 AE EnschedeThe Netherlands State Key Laboratory of Marine Geology Tongji UniversityShanghaiChina School of Marine Sciences University of MaineOronoMEUSA Nicholas School of the Environment Duke University Marine LabBeaufortNCUSA departamento de Meteorologia Universidade Federal do Rio de JaneiroRio de JaneiroBrazil department of Marine Sciences University of Southern MississippiOcean SpringMSUSA School of Earth and Climate Sciences University of MaineOronoMEUSA Climate Change Institute University of MaineOronoMEUSA

Satellites have provided high-resolution(<100 m)water color(i.e.,remote sensing reflectance)and thermal emission imagery of aquatic environments since the early 1980s;however,global operational water quality products ... 详细信息

Satellites have provided high-resolution(ded particle matter).Currently,because of the postprocessing required,only users with expressive experience can exploit these data,limiting their ***,we provide paths(recipes)for the nonspecialist to access and derive water quality products,along with examples of applications,from sensors on board Landsat-5,Landsat-7,Landsat-8,Landsat-9,Sentinel-2A,and *** emphasize that the only assured metric for success in product derivation and the assigning of uncertainties to them is via validation with in situ *** hope that this contribution will motivate nonspecialists to use publicly available high-resolution satellite data to study new processes and monitor a variety of novel environments that have received little attention to date.

关键词： environments Sentinel Spatial

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Prevalence of congenital cytomegalovirus infection in preterm,small for gestational age and low birth weight newborns:characteristics and cytokines profile

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World Journal of Pediatrics 2022年第7期18卷 498-504页

作者： Janaina Fortes lino Llian Martins Oliveira Diniz debora Marques de Miranda Daniela Valadao Freitas Rosa Nathalia Gualberto Souza e Silva Eduardo de Souza Nicolau Larissa Goncalves Rezende Lais Silva carvalho Marianna Fischer de Paula Lopes Luisa Petri Correa Gabriela Mafra de Oliveira Flavia Miranda da Silva Alves Lorena Batista Pascoal Erika Lima Dolabella Teixeira da Costal Leni Marcia Anchieta Roberta Maia de Castro Romaneli Odete Valadares Maternity Hospital Belo HorizonteBrazil Pediatrics department.Faculy of Medice of Federal University of Minas Gerais Belo Horizonte.Brazil Molecular Laboratory of the INCT-MM.Faculy of Medicine.Federal University of Minas Gerais-UFMG.Belo Horizonte Brazil Faculty of Medicine.Federal University of Minas Gerais-UFMG Belo Horizonte.Brazil Risoleta Tolentino.Neves University Hospital's Maternity Belo HorizonteBrazil Sofia Feldman Maternity Hospital Belo HorizonteBrazil Hospital das Clinicas Maternity-Federal University of Minas Gerais.Belo Horizonte Brazil Pediatrics department of Federal University of Minas Gerais School Medicine.Minas Gerais.Av Professor Alfredo Balena 190.Belo Horizonte 30130-100Brazil

Cytomegalovirus is the most frequent agent of congenital viral infections,affecting approximately 0.2%-2.4%of live births in different countries[1-7].Universal screening for congenital cytomegalovirus infection in newborns is not a standard practice considering cost-benefit issues and viabil-ity of diagnostic ***,most newborns are asympto-matic and there is no effective treatment for this population[2-5].

关键词： weight birth characteristics

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Performance and calibration of quark/gluon-jet taggers using 140 fb^(-1) of pp collisions at √s=13 TeV with the ATLAS detector

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Chinese Physics C 2024年第2期48卷 1-25页

作者： G. Aad B. Abbott K. Abeling N.J. Abicht S.H. Abidi A. Aboulhorma H. Abramowicz H. Abreu Y. Abulaiti B.S. Acharya C. Adam Bourdarios L. Adamczyk S.V. Addepalli M.J. Addison J. Adelman A. Adiguzel T. Adye A.A. Affolder Y. Afik M.N. Agaras J. Agarwala A. Aggarwal C. Agheorghiesei A. Ahmad F. Ahmadov W.S. Ahmed S. Ahuja X. Ai G. Aielli A. Aikot M. Ait Tamlihat B. Aitbenchikh I. Aizenberg M. Akbiyik T.P.A. Åkesson A.V. Akimov D. Akiyama N.N. Akolkar K. Al Khoury G.L. Alberghi J. Albert P. Albicocco G.L. Albouy S. Alderweireldt M. Aleksa I.N. Aleksandrov C. Alexa T. Alexopoulos F. Alfonsi M. Algren M. Alhroob B. Ali H.M.J. Ali S. Ali S.W. Alibocus M. Aliev G. Alimonti W. Alkakhi C. Allaire B.M.M. Allbrooke J.F. Allen C.A. Allendes Flores P.P. Allport A. Aloisio F. Alonso C. Alpigiani M. Alvarez Estevez A. Alvarez Fernandez M. Alves Cardoso M.G. Alviggi M. Aly Y. Amaral Coutinho A. Ambler C. Amelung M. Amerl C.G. Ames D. Amidei S.P. Amor Dos Santos K.R. Amos V. Ananiev C. Anastopoulos T. Andeen J.K. Anders S.Y. Andrean A. Andreazza S. Angelidakis A. Angerami A.V. Anisenkov A. Annovi C. Antel M.T. Anthony E. Antipov M. Antonelli F. Anulli M. Aoki T. Aoki J.A. Aparisi Pozo M.A. Aparo L. Aperio Bella C. Appelt A. Apyan N. Aranzabal S.J. Arbiol Val C. Arcangeletti A.T.H. Arce E. Arena J-F. Arguin S. Argyropoulos J.-H. Arling O. Arnaez H. Arnold G. Artoni H. Asada K. Asai S. Asai N.A. Asbah J. Assahsah K. Assamagan R. Astalos S. Atashi R.J. Atkin M. Atkinson H. Atmani P.A. Atmasiddha K. Augsten S. Auricchio A.D. Auriol V.A. Austrup G. Avolio K. Axiotis G. Azuelos D. Babal H. Bachacou K. Bachas A. Bachiu F. Backman A. Badea P. Bagnaia M. Bahmani A.J. Bailey V.R. Bailey J.T. Baines L. Baines O.K. Baker E. Bakos D. Bakshi Gupta V. Balakrishnan R. Balasubramanian E.M. Baldin P. Balek E. Ballabene F. Balli L.M. Baltes W.K. Balunas J. Balz E. Banas M. Bandieramonte A. Bandyopadhyay S. Bansal L. Barak M. Barakat E.L. Barberio D. Barberis M. Barbero M.Z. Barel K.N. Barends T. Barillari M-S. Barisits T. Barklow P. Baron D.A. Baron Mo The ATLAS Collaboration

The identification of jets originating from quarks and gluons,often referred to as quark/gluon tagging,plays an important role in various analyses performed at the Large Hadron Collider,as Standard Model measurements and searches for new particles decaying to quarks often rely on suppressing a large gluon-induced *** paper describes the measurement of the efficiencies of quark/gluon taggers developed within the ATLAS Collaboration,using √s=13 TeV proton–proton collision data with an integrated luminosity of 140 fb^(-1) collected by the ATLAS *** taggers with high performances in rejecting jets from gluon over jets from quarks are studied:one tagger is based on requirements on the number of inner-detector tracks associated with the jet,and the other combines several jet substructure observables using a boosted decision tree.A method is established to determine the quark/gluon fraction in data,by using quark/gluon-enriched subsamples defined by the jet *** in tagging efficiency between data and simulation are provided for jets with transverse momentum between 500 GeV and 2 TeV and for multiple tagger working points.

关键词： ATLAS JET QUARK GLUON TAGGING

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