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Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of

Issue 1 • Date March 2009

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Displaying Results 1 - 12 of 12
  • [Front cover]

    Page(s): C1
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    Freely Available from IEEE
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing publication information

    Page(s): C2
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    Freely Available from IEEE
  • Table of contents

    Page(s): 1
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    Freely Available from IEEE
  • Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems

    Page(s): 2 - 10
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1056 KB) |  | HTML iconHTML  

    The contribution of power production by photovoltaic (PV) systems to the electricity supply is constantly increasing. An efficient use of the fluctuating solar power production will highly benefit from forecast information on the expected power production. This forecast information is necessary for the management of the electricity grids and for solar energy trading. This paper presents an approach to predict regional PV power output based on forecasts up to three days ahead provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). Focus of the paper is the description and evaluation of the approach of irradiance forecasting, which is the basis for PV power prediction. One day-ahead irradiance forecasts for single stations in Germany show a rRMSE of 36%. For regional forecasts, forecast accuracy is increasing in dependency on the size of the region. For the complete area of Germany, the rRMSE amounts to 13%. Besides the forecast accuracy, also the specification of the forecast uncertainty is an important issue for an effective application. We present and evaluate an approach to derive weather specific prediction intervals for irradiance forecasts. The accuracy of PV power prediction is investigated in a case study. View full abstract»

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  • A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning

    Page(s): 11 - 20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1317 KB) |  | HTML iconHTML  

    In this paper, different methods for the evaluation of building detection algorithms are compared. Whereas pixel-based evaluation gives estimates of the area that is correctly classified, the results are distorted by errors at the building outlines. These distortions are potentially in an order of 30%. Object-based evaluation techniques are less affected by such errors. However, the performance metrics thus delivered are sometimes considered to be less objective, because the definition of a ldquocorrect detectionrdquo is not unique. Based on a critical review of existing performance metrics, selected methods for the evaluation of building detection results are presented. These methods are used to evaluate the results of two different building detection algorithms in two test sites. A comparison of the evaluation techniques shows that they highlight different properties of the building detection results. As a consequence, a comprehensive evaluation strategy involving quality metrics derived by different methods is proposed. View full abstract»

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  • Generation of a Species-Specific Look-Up Table for Fuel Moisture Content Assessment

    Page(s): 21 - 26
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (392 KB) |  | HTML iconHTML  

    This study involved the generation of a species-specific Look-Up Table (LUT) for the retrieval of Fuel Moisture Content (FMC) in natural areas dominated by Quercus ilex (Holm oak). Parameter combinations observed in drying Q. ilex samples were used as inputs into the linked PROSPECT and SAILH Radiative Transfer Models (RTM) to avoid unrealistic simulated spectra in the LUT. Terra/MODIS reflectance data, extracted over five plots dominated by Q. ilex, were used to carry out the LUT inversion. This inversion was based on the search for the minimum relative root mean square error (RMSErho*) between observed and simulated reflectance found in the LUT. Different inversion options were tested in order to search for the optimal spectral sampling necessary for accurately estimating FMC. The minimum number of solutions required for the calculation of the estimated FMC was also investigated. The retrieval performance was evaluated with FMC values measured at the five study plots. The most accurate FMC estimation was obtained when using the normalized difference infrared index (NDII6 ) and selecting the ten best cases as the solution (RMSE=26.28%). Finally, a non-oak-specific LUT (generic LUT) was used in the same way to evaluate whether or not the species-specific LUT retrieved FMC more accurately. The results showed that the species-specific LUT provided more accurate FMC estimations than the generic LUT. Only when the number of solutions was higher than 35 was the accuracy of the two LUT similar. Future work will focus on the possibility of generating a LUT adapted to a wider range of species based on data extracted from field measurements and literature. View full abstract»

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  • Statistical Characteristics of the Global Surface Current Speeds Obtained From Satellite Altimetry and Scatterometer Data

    Page(s): 27 - 32
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1435 KB) |  | HTML iconHTML  

    Near-real time ocean surface currents derived from satellite altimeter (JASON-1, GFO, ENVISAT) and scatterometer (QSCAT) data on 1deg times 1deg resolution for world oceans (60deg S to 60deg N) are available online as ldquoOcean Surface Current Analyses-Real Time (OSCAR).rdquo The probability distribution function (PDF) of the current speeds (omega), constructed from global OSCAR data from 1992 to 2008, satisfies the two-parameter Weibull distribution reasonably well, and such a PDF has little seasonal and interannual variations. Knowledge on PDF of omega will improve the ensemble horizontal flux calculation, which contributes to the climate studies. View full abstract»

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  • Distributed Geospatial Data Processing Functionality to Support Collaborative and Rapid Emergency Response

    Page(s): 33 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1536 KB) |  | HTML iconHTML  

    This paper presents a novel approach to integrate the latest generation very high-resolution earth observation imagery into the operational workflow of geospatial information support for emergency response actions. The core concept behind this approach is the implementation of an image pyramid structure that allows each image tile to be addressed separately. We propose a novel way to collate geospatial feature data from distributed sources and integrate them in visualization and image processing. The system components enable rapid collaborative mapping, support for in situ data collection, customized on-demand image processing, and geospatial data queries and near instantaneous map visualization. We adapt functional software modules that are available in the public and open source domain. The approach is demonstrated with a test case in a rapid damage assessment scenario using very high-resolution optical satellite QuickBird and IKONOS imagery over Southern Lebanon from 2006. View full abstract»

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  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Information for authors

    Page(s): 47
    Save to Project icon | Request Permissions | PDF file iconPDF (30 KB)  
    Freely Available from IEEE
  • Special issue on temporal change observation for bio-geophysical parameter retrieval in agriculture from SAR and optical data

    Page(s): 48
    Save to Project icon | Request Permissions | PDF file iconPDF (610 KB)  
    Freely Available from IEEE
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [publication information]

    Page(s): C3
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    Freely Available from IEEE
  • IEEE Transactions on Geoscience and Remote Sensing institutional listings

    Page(s): C4
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Aims & Scope

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) addresses current issues and techniques in applied remote and in situ sensing, their integration, and applied modeling and information creation for understanding the Earth.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dr. Jocelyn Chanussot
Grenoble Institute of Technology