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Remote Sensing and Modeling of Ecosystems for Sustainability VI

作者： Liu, Ke Gao, Zhiqiang Gao, Wei Joint Laboratory for Environmental Remote Sensing and Data Assimilation ECNU CEODE Shanghai 200062 China Key Laboratory of Geo-Information Science Ministry of Education East China Normal University Shanghai 200062 China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China USDA UV-B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins CO United States

ISBN: (纸本)9780819477446

Three regions, Huaibei, Jianghuai, Jiangnan, are divided based on the topography, climatic characteristics, as well as surface temperature from 1957 to 2006 of 16 stations in Anhui province. The change with the year, season and month is analyzed in Anhui province and three areas. Some conclusions are as follows. Anhui province had the lowest temperature in 1980s, but after that the temperature raised step by step. The warming fastest region is Jianghuai. The same pace of warming is in three areas: the greatest warming in spring, then that in autumn, the last in summer. It is warming remarkable in February and the cooling time occurs in July and December. But the fluctuation in three areas is different in some details. The heat island in Hefei is also researched. It suggests that the urban heat island intensity in 1990s in Hefei was the maximum, and then weakened. At the meanwhile, the summer is cooling and the winter is warming in Hefei. © 2009 SPIE.

关键词： Surface temperature

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Application of MODIS data for assessment of evapotranspiration and drought in Northern China

Application of MODIS data for assessment of evapotranspirati...

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Remote Sensing and Modeling of Ecosystems for Sustainability VI

作者： Liu, Chaoshun Gao, Wei Gao, Zhiqiang Shi, Runhe Joint Laboratory for Environmental Remote Sensing and Data Assimilation ECNU CEODE Shanghai 200062 China Key Laboratory of Geo-Information Science Ministry of Education East China Normal University Shanghai 200062 China USDA UV-B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins CO United States Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China

ISBN: (纸本)9780819477446

The objectives of this study are to explore the performance of MODIS remote sensing data in large scale ET and drought mapping based on physical consideration of land surface energy balance. It was revealed from the analysis results that ET derived from MODIS data was in very good agreement with the measured by lysimeter with the consistency index of 0.917, correlation coefficient of 0.872, and daily relative error of -11.34%. Further, regional water stress index (RWSI) was derived from ET by remote sensing demonstrated a strong correlation with field measured soil moisture and is more significantly correlative to mean 0-20cm soil moisture. The case study conducted for fall drought monitoring in North China during years 2005-2006 indicated that the spatial distribution of drought conditions evaluated from RWSI was in good agreement with actual precipitation and drought status. As the efficient method on the basis of relative soil moisture and ET by MODIS data only with Yucheng station measurements, yet more extensive validation with field measurements at regional scale is necessary to be done to discriminate the effects and the accuracy of the proposed RWSI method. © 2009 SPIE.

关键词： Drought

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Atmospheric correction model of Landsat images

Atmospheric correction model of Landsat images

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Remote Sensing and Modeling of Ecosystems for Sustainability VI

作者： Liu, Chaoshun Gao, Wei Gao, Zhiqiang Shi, Runhe Joint Laboratory for Environmental Remote Sensing and Data Assimilation ECNU CEODE Shanghai 200062 China Key Laboratory of Geo-information Science Ministry of Education East China Normal University Shanghai 200062 China USDA UV-B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins CO United States Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China

ISBN: (纸本)9780819477446

An operational atmosphere correction algorithm based on dark object method and the look up table which founded by MODTRAN4 model was introduced for Landsat images herein. The information of the satellite remote sensing images was used to support the atmosphere correction. The algorithm was applied to the Landsat ETM+ imagery and the comparison results of before and after atmospheric correction show that the impact of Landsat imagery caused by molecules, water vapor, ozone, and aerosol particles in the atmosphere was reduced effectively after the correction. This new atmospheric correction algorithm is effective and capable of retrieving surface reflectance accurately. The surface reflectivity was retrieved exactly to help remote sensing information extraction and thematic interpretation. © 2009 SPIE.

关键词： Table lookup

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Searches for cosmic-ray electron anisotropies with the Fermi Large Area Telescope

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Physical Review D 2010年第9期82卷 092003-092003页

作者： M. Ackermann M. Ajello W. B. Atwood L. Baldini J. Ballet G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini B. Berenji E. D. Bloom E. Bonamente A. W. Borgland A. Bouvier J. Bregeon A. Brez M. Brigida P. Bruel R. Buehler T. H. Burnett S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo S. Carrigan J. M. Casandjian C. Cecchi Ö. Çelik E. Charles A. Chekhtman C. C. Cheung J. Chiang S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad A. Cuoco C. D. Dermer A. de Angelis F. de Palma S. W. Digel G. Di Bernardo E. do Couto e Silva P. S. Drell R. Dubois C. Favuzzi S. J. Fegan W. B. Focke M. Frailis Y. Fukazawa S. Funk P. Fusco D. Gaggero F. Gargano S. Germani N. Giglietto P. Giommi F. Giordano M. Giroletti T. Glanzman G. Godfrey D. Grasso I. A. Grenier J. E. Grove S. Guiriec M. Gustafsson D. Hadasch A. K. Harding K. Hayashi E. Hays R. E. Hughes G. Jóhannesson A. S. Johnson W. N. Johnson T. Kamae H. Katagiri J. Kataoka M. Kerr J. Knödlseder M. Kuss J. Lande L. Latronico S.-H. Lee M. Lemoine-Goumard M. Llena Garde F. Longo F. Loparco M. N. Lovellette P. Lubrano A. Makeev M. N. Mazziotta J. E. McEnery J. Mehault P. F. Michelson T. Mizuno A. A. Moiseev C. Monte M. E. Monzani E. Moretti A. Morselli I. V. Moskalenko S. Murgia T. Nakamori M. Naumann-Godo P. L. Nolan E. Nuss T. Ohsugi A. Okumura N. Omodei E. Orlando J. F. Ormes D. Paneque J. H. Panetta D. Parent V. Pelassa M. Pepe M. Pesce-Rollins F. Piron T. A. Porter S. Profumo S. Rainò R. Rando M. Razzano A. Reimer O. Reimer T. Reposeur J. Ripken S. Ritz M. Roth H. F.-W. Sadrozinski A. Sander T. L. Schalk C. Sgrò J. Siegal-Gaskins E. J. Siskind D. A. Smith P. D. Smith G. Spandre P. Spinelli M. S. Strickman A. W. Strong D. J. Suson H. Takahashi T. Takahashi T. Tanaka J. B. Thayer J. G. Thayer D. J. Thompson L. Tibaldo D. F. Torres G. Tosti A. Tramacere Y. Uchiyama T. L. Usher J. Vandenbroucke V. Vasileiou N. Vilchez V. Vitale A. P. Waite P. Wang B. L. Winer K. S. Wood Z. Yang T. Ylinen G. Zaharijas M. Ziegler W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford California 94305 USA Santa Cruz Institute for Particle Physics Department of Physics and Department of Astronomy and Astrophysics University of California at Santa Cruz Santa Cruz California 95064 USA Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d’Astrophysique CEA Saclay 91191 Gif sur Yvette France Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica “G. Galilei ” Università di Padova I-35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy Dipartimento di Fisica “M. Merlin” dell’Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 Palaiseau France Department of Physics University of Washington Seattle Washington 98195-1560 USA Institut de Ciencies de l’Espai (IEEC-CSIC) Campus UAB 08193 Barcelona Spain INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy NASA Goddard Space Flight Center Greenbelt Maryland 20771 USA Center for Research and Exploration in Space Science and Technology (CRESST) and NASA Goddard Space Flight Center Greenbelt Maryland 20771 USA Department of Physics and Center for Space Sciences and Technology University of Maryland Baltimore County Baltimore Maryland 21250 USA Space Science Division Naval Research Laboratory Washington D.C. 20375 USA George Mason University Fairfax Virgin

The Large Area Telescope on board the Fermi satellite (Fermi LAT) detected more than 1.6×106 cosmic-ray electrons/positrons with energies above 60 GeV during its first year of operation. The arrival directions of these events were searched for anisotropies of angular scale extending from ∼10° up to 90°, and of minimum energy extending from 60 GeV up to 480 GeV. Two independent techniques were used to search for anisotropies, both resulting in null results. Upper limits on the degree of the anisotropy were set that depended on the analyzed energy range and on the anisotropy’s angular scale. The upper limits for a dipole anisotropy ranged from ∼0.5% to ∼10%.

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ERRATUM: 'MULTI-WAVELENGTH OBSERVATIONS OF THE FLARING GAMMA-RAY BLAZAR 3C 66A IN 2008 OCTOBER' (2011, ApJ, 726, 43)

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The Astrophysical Journal 2011年第1期731卷

作者： A. A. Abdo M. Ackermann M. Ajello L. Baldini J. Ballet G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini B. Berenji R. D. Blandford E. Bonamente A. W. Borgland A. Bouvier J. Bregeon A. Brez M. Brigida P. Bruel R. Buehler S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo S. Carrigan J. M. Casandjian E. Cavazzuti C. Cecchi Ö. Çelik E. Charles A. Chekhtman C. C. Cheung J. Chiang S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad L. Costamante S. Cutini D. S. Davis C.D. Dermer F. de Palma S. W. Digel E. do Couto e Silva P. S. Drell R. Dubois D. Dumora C. Favuzzi S. J. Fegan P. Fortin M. Frailis L. Fuhrmann Y. Fukazawa S. Funk P. Fusco F. Gargano D. Gasparrini N. Gehrels S. Germani N. Giglietto P. Giommi F. Giordano M. Giroletti T. Glanzman G. Godfrey I. A. Grenier J. E. Grove L. Guillemot S. Guiriec D. Hadasch M. Hayashida E. Hays D. Horan R. E. Hughes R. Itoh G. Jóhannesson A. S. Johnson T. J. Johnson W.N. Johnson T. Kamae H. Katagiri J. Kataoka J. Knödlseder M. Kuss J. Lande L. Latronico S.-H. Lee F. Longo F. Loparco B. Lott M. N. Lovellette P. Lubrano A. Makeev M. N. Mazziotta J.E. McEnery J. Mehault P. F. Michelson T. Mizuno A. A. Moiseev C. Monte M. E. Monzani A. Morselli I. V. Moskalenko S. Murgia T. Nakamori M. Naumann-Godo I. Nestoras P. L. Nolan J.P. Norris E. Nuss T. Ohsugi A. Okumura N. Omodei E. Orlando J. F. Ormes M. Ozaki D. Paneque J.H. Panetta D. Parent V. Pelassa M. Pepe M. Pesce-Rollins F. Piron T. A. Porter S. Rainò R. Rando M. Razzano A. Reimer O. Reimer L. C. Reyes J. Ripken S. Ritz R. W. Romani M. Roth H. F.-W. Sadrozinski D. Sanchez A. Sander J. D. Scargle C. Sgrò M. S. Shaw P. D. Smith G. Spandre P. Spinelli M. S. Strickman D.J. Suson H. Takahashi T. Tanaka J. B. Thayer J. G. Thayer D. J. Thompson L. Tibaldo D. F. Torres G. Tosti A. Tramacere T. L. Usher J. Vandenbroucke V. Vasileiou N. Vilchez V. Vitale A. P. Waite P. Wang B. L. Winer K. S. Wood Z. Yang T. Ylinen M. Ziegler ((The Fermi-LAT Collaboration)) V. A. Acciari E. Aliu T. Arlen T. Aune M. Beilicke W. Benbow M. Böttcher D. Boltuch S.M. Space Science Division Naval Research Laboratory Washington DC 20375 USA National Research Council Research Associate National Academy of Sciences Washington DC 20001 USA W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford CA 94305 USA Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d'Astrophysique CEA Saclay 91191 Gif sur Yvette France Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica 'G. Galilei ' Università di Padova I-35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy Dipartimento di Fisica 'M. Merlin' dell'Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 Palaiseau France Institut de Ciencies de l'Espai (IEEC-CSIC) Campus UAB 08193 Barcelona Spain INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Agenzia Spaziale Italiana (ASI) Science Data Center I-00044 Frascati (Roma) Italy NASA Goddard Space Flight Center Greenbelt MD 20771 USA Center for Research and Exploration in Space Science and Technology (CRESST) and NASA Goddard Space Flight Center Greenbelt MD 20771 USA Department of Physics and Center for Space Sciences and Technology University of Maryland Baltimore County Baltimore MD 21250 USA George Mason University Fairfax VA 22030 USA Laboratoire de Physique Théorique et Astroparticules Université Montpellier 2 CNRS/IN2P3 Montpellier

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Automatic beam path analysis of laser wakefield particle acceleration data

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Computational science and Discovery 2009年第1期2卷

作者： Rübel, Oliver Geddes, Cameron G R. Cormier-Michel, Estelle Wu, Kesheng Prabhat Weber, Gunther H. Ushizima, Daniela M. Messmer, Peter Hagen, Hans Hamann, Bernd Bethel, Wes Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 One Cyclotron Road United States 'Visualization of Large and Unstructured Data Sets - Applic. in Geospatial Plan. Modeling and Eng. 'Technische Universität Kaiserslautern D-67653 Kaiserslautern Erwin-Schrödinger-Straße Germany Institute for Data Analysis and Visualization (IDAV) Department of Computer Science University of California Davis CA 95616 Davis One Shields Avenue United States LOASIS Program of Lawrence Berkeley National Laboratory Berkeley CA 94720 One Cyclotron Road United States Tech-X Corporation Boulder CO 80303 5621 Arapahoe Avenue United States

Numerical simulations of laser wakefield particle accelerators play a key role in the understanding of the complex acceleration process and in the design of expensive experimental facilities. As the size and complexity of simulation output grows, an increasingly acute challenge is the practical need for computational techniques that aid in scientific knowledge discovery. To that end, we present a set of data-understanding algorithms that work in concert in a pipeline fashion to automatically locate and analyze high-energy particle bunches undergoing acceleration in very large simulation datasets. These techniques work cooperatively by first identifying features of interest in individual timesteps, then integrating features across timesteps, and based on the information-derived perform analysis of temporally dynamic features. This combination of techniques supports accurate detection of particle beams enabling a deeper level of scientific understanding of physical phenomena than has been possible before. By combining efficient data analysis algorithms and state-of-the-art data management we enable high-performance analysis of extremely large particle datasets in 3D. We demonstrate the usefulness of our methods for a variety of 2D and 3D datasets and discuss the performance of our analysis pipeline. © 2009 IOP Publishing Ltd.

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Using stochastic gradient-descent scheme in appearance model based face tracking

Using stochastic gradient-descent scheme in appearance model...

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IEEE Workshop on Multimedia Signal Processing

作者： Zhidong Li Jing Chen Adrian Chong Zhenghua Yu Nicol N. Schraudolph School of Computer Science and Engineering University of New South Wales Kensington Australia Program of Making Sense of Data NAL Lab NICTA Kensington NSW Australia School of Computer Science and Engineering University of New South Wales Australia

ISBN: (纸本)9781424422944

Active appearance model (AAM) has been widely used in face tracking and recognition. However, accuracy and efficiency are always two main challenges with the AAM search. The paper therefore proposed a fast appearance-model based 3D face tracking algorithm to track a face appearance with significant translation, rotation, and scaling activities by using stochastic meta-descent (SMD) optimization scheme to accelerate the appearance model search and to improve the tracking efficiency and accuracy. The proposed algorithm constructs an active face appearance model by using several semantic landmark points extracted from each frame and then processes the appearance model search to approximate the model translating, rotating, and scaling by using the SMD filter to minimize the appearance difference between the current model and the new observation. We compared the results with both a conventional AAM and a Camshift filter and found that our algorithm outperforms both two in terms of efficiency and accuracy in tracking a fast moving, rotating, and scaling face object in a video sequence.

关键词： Face Solid modeling Tracking Three dimensional displays Algorithm design and analysis Accuracy Testing

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Semantic Technologies in System Maintenance (STSM 2008)

Semantic Technologies in System Maintenance (STSM 2008)

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IEEE Workshop on program Comprehension

作者： Juergen Rilling René Witte Dragan Gaševic Jeff Z. Pan Department of Computer Science and Software Engineering Concordia University Montréal Québec Canada University of Karlsruhe Institute for Program Structures and Data Organization (IPD) Karlsruhe Germany Department of Computing Science Aberdeen The University of Aberdeen Scotland UK

This paper gives a brief overview of the international workshop on semantic technologies in system maintenance. It describes a number of semantic technologies (e.g., ontologies, text mining, and knowledge integration techniques) and identifies diverse tasks in software maintenance where the use of semantic technologies can be beneficial, such as traceability, system comprehension, software artifact analysis, and information integration.

关键词： Ontologies Software maintenance Space technology Application software Semantic Web Logic programming Computer science OWL Software engineering Information systems

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Hot questions of temperature biasAssociated Content

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Nature 2008年第7195期453卷 601-602页

作者： Chris E. Forest Richard W. Reynolds Chris E. Forest is in the Joint Program on the Science and Policy of Global Change Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA. ceforest@mit.edu Richard W. Reynolds is in the US National Climatic Data Center National Oceanic and Atmospheric Administration 151 Patton Avenue Asheville North Carolina 28801 USA. richard.w.reynolds@noaa.gov

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DIANE: An integrated approach to automated service discovery, matchmaking and composition 07

DIANE: An integrated approach to automated service discovery...

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16th International World Wide Web Conference, WWW2007

作者： Küster, Ulrich König-Ries, Birgitta Stern, Mirco Klein, Michael Institute of Computer Science Friedrich-Schiller University Jena Jena Germany Institute for Program Structures and Data Organization University Karlsruhe Germany

ISBN: (纸本)1595936548

Automated matching of semantic service descriptions is the key to automatic service discovery and binding. But when trying to find a match for a certain request it may often happen, that the request cannot be serviced by a single offer but could be handled by combining existing offers. In this case automatic service composition is needed. Although automatic composition is an active field of research it is mainly viewed as a planning problem and treated separatedly from service discovery. In this paper we argue that an integrated approach to the problem is better than seperating these issues as is usually done. We propose an approach that integrates service composition into service discovery and matchmaking to match service requests that ask for multiple connected effects, discuss general issues involved in describing and matching such services and present an efficient algorithm implementing our ideas.

关键词： Semantics

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