Earth Observation Systems
156 resources related to Earth Observation Systems
- Topics related to Earth Observation Systems
- IEEE Organizations related to Earth Observation Systems
- Conferences related to Earth Observation Systems
- Periodicals related to Earth Observation Systems
- Most published Xplore authors for Earth Observation Systems
The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
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.
The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
2020 IEEE Radar Conference (RadarConf20)
Annual IEEE Radar Conference
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
2017 11th European Conference on Antennas and Propagation (EUCAP), 2017
A novel synthesis methodology for fast and robust design of synthetic aperture radar (SAR) arrays for Earth observation is proposed. An innovative integer coding of the discrete problem unknowns (i.e., the magnitude and phase of the array elements in transmission/reception) is introduced to sensibly reduce the dimension of the search space with respect to the standard binary coding and enable ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
This paper presents a multibaseline method to increase the accuracy of height estimation when using SAR tomographic data. It is based upon mitigating the temporal decorrelation induced by wind. The Fourier-Legendre function of different orders was fitted to each pixel as the structure function in the PCT model. It was combined with the motion standard deviation function from the random-motion-over ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015
Public health risks related to the microbial contamination of recreational waters are increased by global environmental change. Intensification of agriculture, urban sprawl, and climate change are some of the changes which can lead to favorable conditions for the emergence of waterborne diseases. Earth observation (EO) images have several advantages for the characterization and monitoring of environmental determinants that could be ...
2012 6th Advanced Satellite Multimedia Systems Conference (ASMS) and 12th Signal Processing for Space Communications Workshop (SPSC), 2012
With an increasingly capable and complex European Security landscape, Space technologies are playing a vital role in crisis response both within Europe and across the globe. In this domain, Europe is developing capabilities to address many useful space technology applications that are directly applicable to both civilian and security needs. As expressed by various actors in the civil security and ...
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
Leaf water content as a percentage of dry mass (LWCD), also termed fuel moisture content, is a critical variable for fire risk modeling. To date, the relationship between spectral reflectance and LWCDis poorly understood due to the mixed effect of leaf water and dry mass on spectral response. Few studies have reported an adequate estimation of LWCDfrom leaf reflectance spectra, ...
Group on Earth Observations(GEOSS): Applications
GEOSS for BIODIVERSITY -A demonstration of the GEOSS Common Infrastructure capabilities
GEOSS Forest Fire Awareness and Assessment
Group on Earth Observations(GEOSS): Technology
Research, Development and Field Test of Robotic Observation Systems for Active Volcanic Areas in Japan
Societal Impacts and Benefits - GHTC 2012 Session - Mary Ann Stewart
Spin Dynamics in Inhomogeneously Magnetized Systems - Teruo Ono: IEEE Magnetics Society Distinguished Lecture 2016
Lunar Industrialization: The First Step to the Solar System
IROS TV 2019-STAR LAB at the University of Surrey Space Technology for Autonomous systems & Robotics
Globecom 2019: David Lassner Keynote
Engineering Our Future - Q and A with Panel
DROP: The Durable Reconnaissance and Observation Platform
Engineering The Future - Jon Spaihts Opening Remarks
Jaafar Elmirghani: Distinguished Experts Panel - TTM 2018
ROI from NASA to Health & Health Care on Earth - Aenor Sawyer - IEEE EMBS at NIH, 2019
Panel: Space Exploration is Reinventing Healthcare - IEEE EMBS at NIH, 2019
Technologies for Terahertz Science
A novel synthesis methodology for fast and robust design of synthetic aperture radar (SAR) arrays for Earth observation is proposed. An innovative integer coding of the discrete problem unknowns (i.e., the magnitude and phase of the array elements in transmission/reception) is introduced to sensibly reduce the dimension of the search space with respect to the standard binary coding and enable the design of large arrangements. Moreover, suitable customizations of the genetic algorithm (GA) operators (i.e., selection, cross-over and mutation) are exploited for an effective exploration of the solutions, by minimizing highly non-linear/unconventional cost functions linked to specific SAR system quality indicators. Some illustrative numerical benchmarks are illustrated in order to verify the effectiveness of the proposed design technique for the synthesis of next generation radars.
This paper presents a multibaseline method to increase the accuracy of height estimation when using SAR tomographic data. It is based upon mitigating the temporal decorrelation induced by wind. The Fourier-Legendre function of different orders was fitted to each pixel as the structure function in the PCT model. It was combined with the motion standard deviation function from the random-motion-over ground (RMoG) model. L-band multibaseline data are used that were acquired during the AfriSAR campaign over La Lope National Park in Gabon with a height range between 0 and 60 m that has an average of 30 m and standard deviation of 15 m. The results were compared with those from the regular PCT model using the root mean square error (RMSE). Histograms were compared to the one obtained from Lidar height map. The average RMSE was equal to 7.5 m for the regular PCT model and to 5.6 m for the modified PCT model. We concluded that the accuracy of tree height estimation increased after modeling of temporal decorrelation. This is of value for future satellite missions that would collect tomographic data over forest areas.
Public health risks related to the microbial contamination of recreational waters are increased by global environmental change. Intensification of agriculture, urban sprawl, and climate change are some of the changes which can lead to favorable conditions for the emergence of waterborne diseases. Earth observation (EO) images have several advantages for the characterization and monitoring of environmental determinants that could be associated with the risk of microbial contamination of recreational waters in vast territories like Canada. There are a large number of EO systems characterized by different spatial, temporal, spectral, and radiometric resolutions. Also, they have different levels of accessibility. In this study, we compared several EO systems for the estimation of environmental determinants to assess their usefulness and their added value in monitoring programs of recreational waters. Satellite images from EO systems WorldView-2, GeoEye-1, SPOT-5/HRG, Landsat-5/TM, Envisat/MERIS, Terra/MODIS, NOAA/AVHRR, and Radarsat-2 were acquired in 2010 and 2011 in southern Quebec, Canada. A supervised classification of these images with a maximum likelihood algorithm was used to estimate five key environmental determinants (agricultural land, impervious surfaces, water, forest, and wetlands) within the area of influence of 78 beaches. Logistic regression models were developed to establish the relationship between fecal contamination of beaches and environmental determinants derived from satellite images. The power prediction of these models and criteria such as accuracy of classified images, the ability of the sensor to detect environmental determinants in the area of influence of beaches, the correlation between the estimated environmental determinants in the area of influence by the sensor with those estimated by very high spatial resolution reference sensors (WorldView-2 and GeoEye-1), and general criteria of accessibility (cost of the images, imaging swath, satellite revisit interval, hours of work, and expertise and material required to process the images) were used to evaluate the EO systems. The logistic regression model establishing the relationship between environmental determinants from Landsat-5/TM images and the level of fecal contamination of beaches is the one which performs best. These images are also those that best meet all of the evaluation criteria. This study showed that environmental determinants like agricultural lands and impervious surfaces present in the area of influence of beaches are those which contribute the most to the microbial contamination of beaches. Our study demonstrated the utility and the added value that EO images could bring to programs monitoring the microbial contamination of recreational waters.
With an increasingly capable and complex European Security landscape, Space technologies are playing a vital role in crisis response both within Europe and across the globe. In this domain, Europe is developing capabilities to address many useful space technology applications that are directly applicable to both civilian and security needs. As expressed by various actors in the civil security and defense domains, there is a need for operational and sustainable space-based services that would be more responsive, integrated and under European control (i.e. based on European assets) through the combination of services provided by the different domains of space applications such as Earth observation, telecommunications and navigation. In the frame of the "European Integrated Space Architectures for Crisis Response" study led by Thales Alenia Space (T AS), and funded and supported by ESA, several crisis scenarios have been thoroughly analyzed in order to identify the needs of all the crisis response stakeholders in terms of telecommunication, observation and navigation services. A trade-off has been carried out on existing and planned space and non space assets to fulfill the mission requirements and led to identify some gaps which can be removed by innovative space assets. From an aggregation of existing and planned assets operating with various standards, spectrum and non interoperable terminals and networks that will be available in 2015, the study led to propose a reduced set of new space assets to fulfill the crisis response requirements that could not be addressed by non space assets only. Through an integrated and harmonized approach, the infrastructure foreseen at the 2025 time horizon will make it possible to improve the management of natural disasters, piracy or oil-spills wherever it may occur and efficiently support the European security policy and the external action service for the benefit of all member states at optimized overall cost. This article presents the main findings of the study. In particular, it discusses the main mission requirements that new assets dedicated to crisis management will have to fulfill.
Leaf water content as a percentage of dry mass (LWCD), also termed fuel moisture content, is a critical variable for fire risk modeling. To date, the relationship between spectral reflectance and LWCDis poorly understood due to the mixed effect of leaf water and dry mass on spectral response. Few studies have reported an adequate estimation of LWCDfrom leaf reflectance spectra, in particular for a variety of species. In this study, we propose an effective approach, using continuous wavelet analysis, to determine LWCDfrom reflectance spectra for 47 tropical forest species in Panama. The proposed method provides a new way to select a small number of wavelet features (wavelet coefficients) that are sensitive to changes in LWCD. Wavelet features derived using this new method are compared with common spectral indices in terms of their relationship with LWCD. Results demonstrate that LWCDis poorly correlated to the water indices but strongly correlated to the derived wavelet features. Accurate estimates of LWCDacross a range of species are achieved using any of those wavelet features and can be slightly improved using a combination of them.
The backscatters power single-look waveform recorded by a synthetic aperture radar altimeter is approximated in a closed-form model. The model, being expressed in terms of parameterless functions, allows for efficient computation of the waveform and a clear understanding of how the various sea state and instrument parameters affect the waveform.
The rapid increase in the number of aerial and orbital Earth observation systems is generating a huge amount of remote sensing data that need to be readily transformed into useful information for policy and decision makers. This exposes an urgent demand for image interpretation tools that can deal efficiently with very large volumes of data. In this work, we introduce a set of methods that support distributed processing of georeferenced raster and vector data in a computer cluster, which may be a virtual cluster provided by cloud computing infrastructure services. The set of methods comprise a particular technique for indexing distributed georeferenced datasets, as well as strategies for distributing efficiently the processing of spatial context- aware operations. They provide the means for the development of scalable applications, capable of processing large volumes of geospatial data. We evaluated the proposed methods in a remote sensing image interpretation application, built on the MapReduce framework, and executed in a cloud computing infrastructure. The experimental results corroborate the capacity of the methods to support efficient handling of very large earth observation datasets.
The world of Earth observation (EO) data is rapidly changing, driven by exponential advances in sensor and digital technologies. Recent decades have seen the development of extraordinary new ways of collecting, storing, manipulating, and transmitting data that are radically transforming the way we conduct and organize science. This convergence of technologies creates new challenges for EO scientists and data and software providers to fully exploit large amounts of multivariate data from diverse sources. At the same time, these technological trends also generate huge opportunities to better understand our planet and turn big data into new types of information services. This article briefly describes some of the elements of the European Space Agency's (ESA) EO Open Science program, which aims to enable the digital transformation of the EO community and make the most of the large, complex, and diverse data delivered by the new generation of EO missions, such as the Copernicus Sentinels.
As Spaceborne Earth Observation Systems become more and more complex, the capability to assess their performance and thus the profitability of the investment becomes more critical. Dual-use systems, satisfying both civilian and military needs, are characterized by an even higher degree of complexity. This article describes the main features of the COSMO- SkyMed Mission Simulator, a software tool developed in the design phase of COSMO-SkyMed system and widely used to predict its performance, to drive trade-offs and to perform analyses on the dual use critical points. The simulation capability ranges from the satellite ephemerides propagation, up to the prediction of subsystem behaviour in response to a certain plan of activities scheduled. One of the main features of the Mission Simulator is the implementation of exactly the same planning algorithm present in the COSMO Mission Planning and Control Centre, leading to the generation of mission plans with the same logic of the real system, a feature that enhances the validity of the simulations.
Space-borne satellite applications provide a vast array of services extending from global connectivity to Earth observation systems. The soil moisture radiation mission is a proposed space-borne passive microwave system complementary to the existing Earth observing system operating at low microwave frequencies and requiring an antenna with multibeam, high-beam efficiency, and dual polarization capabilities. To achieve both the large reflector size and the multibeam pattern at the operational frequencies an innovative multibeam reflector antenna design was needed. The advances in inflatable antenna technology has been proposed to overcome the launch vehicle size and weight restrictions. This paper describes a novel offset parabolic torus reflector antenna design that produces the desired multibeam pattern and is compatible with the inflatable antenna technology. Using the system requirements of this mission as an example, the design process for an inflatable parabolic torus reflector antenna is outlined, the development of suitable distortion models is given, and representative RF characteristics are presented. These RF characteristics include far-field patterns, beam contour patterns, beam efficiency, and other key performance parameters. The development of an advanced analytical modeling/numerical tool in support of the design effort is also detailed.
No standards are currently tagged "Earth Observation Systems"