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The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
2020 IEEE Radar Conference (RadarConf20)
Annual IEEE Radar Conference
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
All fields of satellite, airborne and ground remote sensing.
It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...
Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.
Measurements and instrumentation utilizing electrical and electronic techniques.
Bayes procedures; buried-object detection; dielectric measurements; Doppler measurements; geomagnetism; sea floor; sea ice; sea measurements; sea surface electromagnetic scattering; seismology; sonar; acoustic tomography; underwater acoustics; and underwater radio communication.
Proceedings of the Tenth International Conference on Grounds Penetrating Radar, 2004. GPR 2004., 2004
12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 1989
Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium, 1994
The objective of this study is to underline the benefits of a combined use of different spectral measurements and models in the retrieval of surface parameters controlling the hydrological cycle. The authors developed a method aimed at integrating data from various satellites, in different spectral bands (visible, thermal infrared and microwave) along with models adapted to each band in a ...
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2005
Summary form only given. This special session has been motivated by the growing importance of data-driven modeling in Earth sciences, climate modeling, meteorological and oceanographic applications, geophysical data processing, and hydrology. Of particular interest are the methodological aspects of learning methods, with the clarification of the advantages and limitations of learning techniques in the context of specific applications. This panel ...
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 1992
The objective of this study is to underline the benefits of a combined use of different spectral measurements and models in the retrieval of surface parameters controlling the hydrological cycle. The authors developed a method aimed at integrating data from various satellites, in different spectral bands (visible, thermal infrared and microwave) along with models adapted to each band in a two step iterative optimization procedure. They first invert radiative transfer model in the visible to retrieve a set of surface parameters from AVHRR visible and near-infrared reflectances. In a second step, these parameters in conjunction with surface temperature derived from AVHRR lire used as input into a radiative transfer model in the microwave region to simulate brightness temperature in SSM/I 19.35 and 37 GHz channels. By minimizing the difference between observed and simulated brightness temperatures, a set of relationship between surface albedo and soil moisture, surface reflectance and vegetation water content are discussed.<<ETX>>
Summary form only given. This special session has been motivated by the growing importance of data-driven modeling in Earth sciences, climate modeling, meteorological and oceanographic applications, geophysical data processing, and hydrology. Of particular interest are the methodological aspects of learning methods, with the clarification of the advantages and limitations of learning techniques in the context of specific applications. This panel includes informal presentations by the session co-chairs followed by questions and answers from the audience. Topics of discussion include the following: 1) to identify major types of problems encountered in this field; 2) how to estimate the quality of data-driven models; 3) what are specific characteristics of data sets in climate modeling/Earth sciences that make them different from other applications; and 4) try to come to an agreement on possible benchmark data sets in this field.
Rapid urban growth and the environmental, social and political consequences are major issues in Africa, especially in the major Sahelian cities. Using remote sensing technologies, it has been established that between 1980-2000, the rate of urbanization more than doubled in the capital city of Burkina Faso (118% increase) and nearly doubled in capitals of Mali (62%) and Niger (63% increase). There has been a drastic conversion of vegetated and open lands to urban and residential use. Population in these cities also grew significantly, clearly outpacing the overall population growth of the countries. Data obtained is useful in policy issues related to sustainable urban planning and also serves as input into urban growth to predict patterns of future urban expansion.
In November and December 1996, the NASA/JPL Airborne Synthetic Aperture Radar System (AIRSAR) embarked on a seven-week campaign to several Pacific Rim countries. This mission was jointly organized by NASA, Australia's Office of Space Science and Application, and University of New South Wales. The major purpose of the mission is to establish a collaborative effort in the area of radar remote sensing application between the United States and the Pacific Rim countries. SAR data were acquired for both U.S. researchers as well as the participating countries. In addition to Hawaii, the authors imaged areas of interest in New Zealand, Australia, Papua New Guinea, Malaysia, Brunei, the Philippines, Taiwan, Thailand, and Cambodia including coastal regions of some countries. The target areas of this multi-frequency, polarimetric and interferometric SAR system included volcanoes, sites for studies in geology, hydrology, and land use mapping, and forested mountains to generate height maps of rugged and inaccessible areas.
The climate changes and the associated Hailuogou glacier-river runoff were discussed by analysis of the existing available meteorological and hydrologic data in Hailuogou basin. To better assess the effect of climate change on the stream flow of this river, stable isotope composition was measured on different types of water samples, including meteoric water, stream water, ice- snow melt water and ground water in 2008-2009. The results of this work indicate that: (i) as the annual average temperature in Hailuogou basin rose by 0.5°C in recent 20-years, the mean runoff increased by 2.1% annually. Analyses of meteorological and hydrologic data suggest that changes of the glacier river runoff have responded to climatic fluctuations; (ii) analysis of the measured isotopic data demonstrate that precipitation provides the main part of seasonal variations of runoff of the study river, the effect of change in temperature suggests a linear increase in ice-snow meltwater and total streamflow. (iii) ice-snow meltwater is the main source of this alpine glacier river. Using a δ18O based hydrologic model, we estimated that the annual contribution of ice-snow meltwater over the total stream flow varied from 81.9% to 85.57% in its upper reach. Quantitative evaluation of the relationship between climate fluctuation and the river runoff is difficult because of the limited available long-term meteorological and hydrologic data in the alpine area in the periphery of the Qinghai-Tibetan Plateau.
The Water Right Analysis Package (WRAP) is applied to the river/reservoir/water use system of the East River basin in south China. With the quasi-historical monthly streamflow series from 1951 to 2000, the water supply reliability of the projected target is assessed under the joint regulation of three large reservoirs. Both long- and short-term simulation are conducted to do the long-term plan and reservoir operations during short drought period. The simulation results have revealed that the general reliability of the system is acceptable, although there is an obvious probability of water shortage induced by inevitable extreme droughts.
One of the most effective tools for environmental studies in mountainous areas, especially tropical karst mountainous areas, is remote sensing and GIS. Remote sensing and GIS technologies are scientifically established tools, but are not yet routinely used in environmental analysis, monitoring and impact analysis. The here presented remote sensing and GIS supported environmental analyses consist of methods for image transformation, image fusion, lineament extraction, time series, and change detection analysis. Based on the characteristics of lineaments, which are captured from the satellite images, the geological structure of a karst area in NW-Vietnam is studied in detail. Time series and change detection analysis is applied for studying land cover changes. The groundwater recharge and discharge zones are defined by the technique of image transformation.
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