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Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Date 21-26 July 2013

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Displaying Results 1 - 25 of 1142
  • [Front cover]

    Page(s): c1
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  • [Title page]

    Page(s): i
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  • [Copyright notice]

    Page(s): ii
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  • [Blank page]

    Page(s): iii
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  • Organizing Committee

    Page(s): iv
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  • Technical program committee

    Page(s): v - vi
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  • Reviewers

    Page(s): vii - xi
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  • Welcome from the IEEE Geoscience and Remote Sending Society president

    Page(s): xii
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  • Welcome from the general co-chairs

    Page(s): xiii
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  • Technical program overview

    Page(s): xiv
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  • Table of contents

    Page(s): xv - cxviii
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  • The ESA learneo! Project for stimulating Earth Observation Education

    Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (938 KB) |  | HTML iconHTML  

    LeanEO! is a 2-year Earth Observation education project funded by the European Space Agency (ESA) and developed by different European Institutions. Its main aim is to increase the understanding and knowledge of satellite data obtained from ESA missions and demonstrate how these can be used when faced with environmental problems in the real world. The project has developed hands-on training resources for use primarily (but not exclusively) by teachers and students at upper high school to university level. Each lesson comes complete with data, analysis tools and exhaustive background information necessary for the completion of the suggested activities and provides answers to the various study questions. Model answers are supplied for users working on their own or with limited specialist support. In this paper the aims and the opportunities provided by the project will be described in detail. View full abstract»

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  • The linkages between stem education and homeland security sciences and management

    Page(s): 5 - 8
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    Mathematics was used to promote Homeland Security Management to reveal how academics face a challenge when expressing relationships between new fields of study. Homeland Security Management is the new fields of study involved with Technology, Engineering, and Mathematics (STEM) in this project. The needs analysis showed that the average student exhibits awkwardness in developing the knowledge required to acquire numerical skills in mathematics. Correspondingly, the underlying assumption of this project is that society shows the same awkwardness toward Homeland Security Management. The objective of this project is to facilitate a link between STEM education [1] and Homeland Security by using a filter-and-switch methodology as language logic to produce filters and switches in mathematical language (FIML) and (SIML), respectively. This study finds that the correlation between the FIML and SIML is language connectives, which were used to model the relationships of STEM-education and Homeland Security. This project further finds that language is the primary linkage between STEM-education and Homeland Security Management. It is significantly evident that language indiscipline will threaten the future and success of Homeland Security Management and general education. View full abstract»

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  • Software environments for atmospheric lidar remote sensing

    Page(s): 9 - 12
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (203 KB) |  | HTML iconHTML  

    Research and training in atmospheric lidar remote sensing requires highly versatile software environments for both experimentation and analysis. Experimentation and analysis may be conducted either directly on site at the location of the lidar equipment and/or institutional computer center or remotely from a distant location. The requirements for lidar software environments depend not only on type of user access (remote or onsite) but also on the nature of the teaching or research missions they support and the characteristics of the lidar systems for which they are used. The software environments discussed in this paper have been used to support lidar aerosol studies in settings ranging from urban locations to a remote atmospheric baseline station. Experiments and data analysis studies have been conducted for two different ground-based lidar systems, a monostatic Micro Pulse Lidar system and a bistatic imaging lidar system. View full abstract»

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  • The influence of organic matter on soil dielectric constant at microwave frequencies (0.5–40 GHZ)

    Page(s): 13 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (435 KB) |  | HTML iconHTML  

    In this study, the dielectric constants of 12 types of soil with different organic matter content were measured using the coaxial probe method by network analyzer (0.5-40 GHz) at room temperature (approx. 23°C). The observed dielectric constant increases only slowly with soil volumetric water content up to a transition point. Beyond the transition point, it increases rapidly with volumetric water content. It was found that the value of the transition point was higher and the observed dielectric constant was lower at the same soil volumetric water content and frequency for soil with higher organic matter content. A simple semi-empirical model was proposed to describe the dielectric behavior of soil with organic matter. This model was developed based on the refractive mixing dielectric model (RMDM). View full abstract»

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  • Characterization of backscattered radar waves from the lunar surface

    Page(s): 17 - 20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (831 KB) |  | HTML iconHTML  

    High Circular Polarization Ratio (CPR) was thought to be a robust diagnostic of water-ice on the lunar surface. Recent researches have reported such findings on walls, floors, and proximal ejecta of impact craters, as well as on sunlit zones. These signatures could not be explained with water-ice as the probable cause. In an attempt to explain such sightings, this paper portrays the character of radar waves backscattered from the lunar surface. This characterization is performed with the aid of daughter products derived from the Stokes vector. View full abstract»

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  • An approach to determine possible existence of water ice deposits on lunar craters using minisar data

    Page(s): 21 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1640 KB) |  | HTML iconHTML  

    The present paper deals with the task of identifying lunar craters having possible existence of water-ice deposits on their surface. For this purpose, a decision tree algorithm has been proposed, in which decision criterion are decided on the basis of CPR, m-δ decomposition, fractal dimension `D' and conditions proposed by Thompson et al., The proposed algorithm is successfully applied on Chandrayaan-1's MiniSAR data. View full abstract»

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  • The use of environmental variables to predict cholera hazard

    Page(s): 25 - 28
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (803 KB) |  | HTML iconHTML  

    Vibrio cholerae(V. cholerae) is a component of coastal and estuarine microbial ecosystems, with the copepod species of zooplankton that comprise the aquatic fauna of rivers, bays, estuaries and the open ocean serving as host for the bacterium. There is a remarkably strong association between cholera and some regional environmental factors such as the sea and climate. In this paper, the sea surface temperature (SST), sea surface height (SSH) and ocean chlorophyll concentration (OCC) of the nearest coastal environment derived from satellite remote sensing data are employed to predict the cholera hazard in coastal regions of eastern China, and the association between monthly cholera cases and in the study and the lag effects of the three oceanic environmental factors to the local cholera magnitude are analyzed. View full abstract»

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  • Monitoring the deformation of Shuping landslide with TerraSAR-x spotlight images

    Page(s): 29 - 32
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (453 KB) |  | HTML iconHTML  

    To reliably monitor the deformation of a single landslide is often a difficulty for DInSAR with mid-resolution SAR data. The high resolution SAR systems bring opportunities for the task. Among the landslides in Three Gorges area, Shuping landslide is typical and some previous works using DInSAR have been done during the last years. In this paper, 9 TerraSAR-X spotlight images are used to map the surface displacement of Shuping landslide. Conventional and coherent pixels based DInSAR are both applied. The deformation field of the landslide is mapped and 2 deformtion cones are identified. Meanwhile, this paper gives out the average deformation velocities of the coherent pixels during the period from January to March 2012. It is confirmed that DInSAR can become a valuable tool in studying and monitoring single landslides with high resolution SAR images. In the future, the DInSAR measurements along the line of sight direction should be converted to real slide direction of the landslide and analyzed joint with multi-source data. View full abstract»

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  • The European DORIS downstream service as a multi-scale system for landslides and subsidence risk management

    Page(s): 33 - 36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3364 KB) |  | HTML iconHTML  

    We focused on the joint exploitation of satellite and ground-based technologies in order to understand the kinematic behavior of landslides and subsidence phenomena relevant to different test sites in Europe. In this context, we efficiently exploited C-band and X-band satellite and ground-based SAR data for the investigation of the temporal and spatial pattern of ground deformations caused by natural and human-induced hazards. The present work has been conducted within the FP7-EU DORIS project. View full abstract»

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  • L-band active / passive time series measurements over a growing season using the ComRAD ground-based SMAP simulator

    Page(s): 37 - 40
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (281 KB) |  | HTML iconHTML  

    Once launched in late 2014, NASA's Soil Moisture Active Passive (SMAP) mission will use a combination of a four-channel L-band radiometer and a three-channel L-band radar to provide high resolution global mapping of soil moisture and landscape freeze/thaw state every 2-3 days. These measurements are valuable to improved understanding of the Earth's water, energy, and carbon cycles, and to many applications of societal benefit. In order for soil moisture to be retrieved accurately from SMAP microwave data, prelaunch activities are concentrating on developing improved geophysical retrieval algorithms for each of the SMAP baseline products. The ComRAD truck-based SMAP simulator collected active/passive microwave time series data at the SMAP incident angle of 40° over corn and soybeans during 2012 for use in refining SMAP retrieval algorithms. View full abstract»

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  • SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data

    Page(s): 41 - 44
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3117 KB) |  | HTML iconHTML  

    The SMAP RFI detecting digital backend performance is characterized using real-environment L-band RFI data from the SMAPVEX 2012 campaign. Various types of RFI signals are extracted from the airborne campaign dataset and fed to the SMAP radiometer using an Arbitrary Waveform Generator (AWG). The backend detection performance is tested, and missed-detections are further investigated. Initial results indicate RFI detection performance for the SMAP digital backend is acceptable. View full abstract»

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  • A robust algorithm for soil moisture retrieval from the soil Moisture Active Passive mission radar observations

    Page(s): 45 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (533 KB) |  | HTML iconHTML  

    The Soil Moisture Active Passive (SMAP) mission will combine spaceborne L-band radar and radiometer observations to provide improved estimates of Earth's surface geophysical parameters. In this paper we present a new robust radar-only snapshot approach (independent of ancillary data on roughness and vegetation) for mapping near real-time soil moisture at high spatial resolution. Simple formulations are developed based on traditional theories and parameterizations are obtained using electromagnetic scattering basis available in the form of “data cubes”. This new algorithm is tested using Passive and Active L- and S-band (PALS) airborne data and in situ soil moisture observations acquired during different field campaigns, i.e., SGP99, SMEX02, CLASIC07 and SMAPVEX08. The soil moisture retrieval root mean square error observed is in the range of the quality target (0.06 cm3/cm3) set for the SMAP mission. View full abstract»

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  • Refinement of SMOS multi-angular brightness temperature and its analysis over reference targets

    Page(s): 49 - 52
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (526 KB) |  | HTML iconHTML  

    The Soil Moisture Ocean Salinity (SMOS) mission has been providing L-band multi-angular brightness temperature observations at a global scale since its launch in November 2009 and has performed well in the retrieval of soil moisture. The multiple incidence angle observations are not obtained at fixed values and the resolution and accuracy change with the grid locations over SMOS snapshot images. Radio frequency interference issues and aliasing at lower look angles increases the uncertainty of observations and thereby affects the soil moisture retrieval that utilizes observations at specific angles. In this study, we propose a processing chain that uses a mixed objective function based on SMOS L1c data products to refine the characteristics of multi-angular observations. The approach was validated using simulations from a radiative transfer model and analyzed over three external targets: Amazon rainforest, Sahara desert, and Antarctic ice. These results could provide insights for selecting and utilizing external targets as part of the upcoming Soil Moisture Active Passive (SMAP) mission. View full abstract»

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  • High resolution in-situ tomography on pine forests

    Page(s): 53 - 56
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (729 KB) |  | HTML iconHTML  

    This paper describes a field campaign performed with a ground-based polarimetric tomographic imager designed to measure the vertical response of several forest plots in order to better understand the mechanisms contributing to the total radar response. The campaign took place in the Mende forest, an artificial forest of European Black Pines, in South of France. The objective is to perform a sensitivity study on the radar observables based on biophysical parameters. This paper presents a description of the experiment hardware and procedure, the results obtained for all sites, and a discussion of the results in the light of the ground truth. The results show vertical backscattered energy profiles as a function of tree density, forest growth, presence of undergrowth and ground slope. The evolution of the energy backscattered by the soil, the volume, and the whole scene is also displayed. These results have shown the interest of such a campaign to improve understanding of the distribution of radar mechanism along the vertical axis. View full abstract»

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